{"id":469,"date":"2026-08-20T11:43:09","date_gmt":"2026-08-20T11:43:09","guid":{"rendered":"https:\/\/dei.fe.up.pt\/ieee-isc2-2026\/?page_id=469"},"modified":"2026-10-28T00:05:24","modified_gmt":"2026-10-28T00:05:24","slug":"programme","status":"publish","type":"page","link":"https:\/\/dei.fe.up.pt\/ieee-isc2-2026\/programme\/","title":{"rendered":"Programme"},"content":{"rendered":"\n
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Conference Programme<\/h1>\n\n\n\n

Programme at a Glance<\/h2>\n\n\n\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n <\/td>\n\n <\/td>\n\n

\n Day 1 – 27 Oct<\/b><\/font><\/p>\n<\/td>\n

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\n Day 2 – 28 Oct<\/b><\/font><\/p>\n<\/td>\n

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\n Day 3 – 29 Oct<\/b><\/font><\/p>\n<\/td>\n

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\n Day 4 – 30 Oct<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 8:30<\/font><\/font><\/p>\n<\/td>\n

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\n 9:00<\/font><\/font><\/p>\n<\/td>\n

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\n Registration & Check-in<\/font><\/font><\/p>\n<\/td>\n

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\n Registration & Check-in<\/font><\/font><\/p>\n<\/td>\n

\n

\n Registration & Check-in<\/font><\/font><\/p>\n<\/td>\n

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\n Registration & Check-in<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 9:00<\/font><\/font><\/p>\n<\/td>\n

\n

\n 9:30<\/font><\/font><\/p>\n<\/td>\n

\n

\n Workshops &
\n Tutorials<\/font><\/font><\/p>\n<\/td>\n

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\n Opening Session<\/font><\/font><\/p>\n<\/td>\n

\n

\n Parallel Sessions 7A–7D
\n 7A Traffic Control & Autonomous Driving
\n 7B Smart Agriculture & Environmental Sensing
\n 7C LLMs & Agentic AI for Urban Services
\n 7D Urban Governance, Policy & Resilient Ecosystems<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 9:30<\/font><\/font><\/p>\n<\/td>\n

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\n 10:00<\/font><\/font><\/p>\n<\/td>\n

\n

\n Keynote: "From Data to City Decisions: How Porto Builds a Smarter Urban Future" (9:30-10:30)<\/font><\/font><\/p>\n<\/td>\n

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\n Keynote: "Autonomous mobility in a cooperative and connected environment: from theory to reality" (9:30-10:30)<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 10:00<\/font><\/font><\/p>\n<\/td>\n

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\n 10:30<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 10:30<\/font><\/font><\/p>\n<\/td>\n

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\n 11:00<\/font><\/font><\/p>\n<\/td>\n

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\n Coffee Break<\/font><\/font><\/p>\n<\/td>\n

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\n Coffee Break & Poster Session PS1-M<\/font><\/font><\/p>\n<\/td>\n

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\n Coffee Break & Poster Session PS2-M<\/font><\/font><\/p>\n<\/td>\n

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\n Coffee Break & Poster Session PS3-M<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 11:00<\/font><\/font><\/p>\n<\/td>\n

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\n 11:30<\/font><\/font><\/p>\n<\/td>\n

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\n Workshops & Tutorials<\/font><\/font><\/p>\n<\/td>\n

\n

\n Parallel Sessions 1A–1C
\n 1A Public Transport & On-Demand Mobility
\n 1B Energy Demand Forecasting & Residential Systems
\n 1C Edge-Cloud Continuum & Resource Orchestration<\/font><\/font><\/p>\n<\/td>\n

\n

\n Parallel Sessions 4A–4C
\n 4A Connected Vehicles & Vehicular Networks
\n 4B Smart Water Systems
\n 4C Urban Data Platforms & Geospatial Analytics<\/font><\/font><\/p>\n<\/td>\n

\n

\n Keynote: "AIDC and its Economic, Socio, Environmental impact on Smart City"<\/p>\n

Panel: "Smart and Sustainable Campus" (11:00-12:30)<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 11:30<\/font><\/font><\/p>\n<\/td>\n

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\n 12:00<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 12:00<\/font><\/font><\/p>\n<\/td>\n

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\n 12:30<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 12:30<\/font><\/font><\/p>\n<\/td>\n

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\n 13:00<\/font><\/font><\/p>\n<\/td>\n

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\n Lunch<\/font><\/font><\/p>\n<\/td>\n

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\n Lunch<\/font><\/font><\/p>\n<\/td>\n

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\n Lunch<\/font><\/font><\/p>\n<\/td>\n

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\n Lunch<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 13:00<\/font><\/font><\/p>\n<\/td>\n

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\n 13:30<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 13:30<\/font><\/font><\/p>\n<\/td>\n

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\n 14:00<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 14:00<\/font><\/font><\/p>\n<\/td>\n

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\n 14:30<\/font><\/font><\/p>\n<\/td>\n

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\n Demonstration of an autonomous and connected vehicle<\/font><\/font><\/p>\n<\/td>\n

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\n Panel: "From Sensors to Data" (14:00 – 15:00)<\/font><\/font><\/p>\n<\/td>\n

\n

\n Parallel Sessions 5A–5C
\n 5A Mobility Modelling, Simulation & Synthetic Data
\n 5B Sustainable & Carbon-Neutral Cities
\n 5C Networks & Urban Sensing Infrastructure<\/font><\/font><\/p>\n<\/td>\n

\n

\n Parallel Sessions 8A–8D
\n 8A Perception & Computer Vision for Road Traffic
\n 8B Digital Twins, 3D & Remote Sensing
\n 8C IoT Architectures, QoS & Trusted Integration
\n 8D Inclusive, Accessible & Safe Cities<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 14:30<\/font><\/font><\/p>\n<\/td>\n

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\n 15:00<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 15:00<\/font><\/font><\/p>\n<\/td>\n

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\n 15:30<\/font><\/font><\/p>\n<\/td>\n

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\n Workshops & Tutorials<\/font><\/font><\/p>\n<\/td>\n

\n

\n Parallel Sessions 2A–2C
\n 2A Shared Mobility, Micromobility & MaaS
\n 2B Waste Management & Emissions
\n 2C Data Spaces & Semantic Interoperability<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n 15:30<\/font><\/font><\/p>\n<\/td>\n

\n

\n 16:00<\/font><\/font><\/p>\n<\/td>\n

\n

\n Coffee Break & Poster Session PS2-A<\/font><\/font><\/p>\n<\/td>\n

\n

\n Coffee Break & Poster Session PS3-A<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

\n

\n 16:00<\/font><\/font><\/p>\n<\/td>\n

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\n 16:30<\/font><\/font><\/p>\n<\/td>\n

\n

\n Keynote: "Wireless Power Transfer–Based Solid-State Transformers for Next-Generation AI Data Centers" (16:00 – 17:00)<\/font><\/font><\/p>\n<\/td>\n

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\n Close Session<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

\n

\n 16:30<\/font><\/font><\/p>\n<\/td>\n

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\n 17:00<\/font><\/font><\/p>\n<\/td>\n

\n

\n Coffee Break<\/font><\/font><\/p>\n<\/td>\n

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\n Coffee Break & Poster Session PS1-A<\/font><\/font><\/p>\n<\/td>\n

\n

\n Farewell<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

\n

\n 17:00<\/font><\/font><\/p>\n<\/td>\n

\n

\n 17:30<\/font><\/font><\/p>\n<\/td>\n

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\n Workshops & Tutorials<\/font><\/font><\/p>\n<\/td>\n

\n

\n Parallel Sessions 3A–3C
\n 3A Mobility Planning & Pedestrian Analytics
\n 3B Climate Risk & Green Infrastructure
\n 3C AI for Learning, People & Society<\/font><\/font><\/p>\n<\/td>\n

\n

\n Parallel Sessions 6A–6C
\n 6A Urban Logistics, Fleets & EV Charging
\n 6B Energy Communities, Metering & Household Data
\n 6C Emergency Management & Urban Resilience<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n

\n

\n 17:30<\/font><\/font><\/p>\n<\/td>\n

\n

\n 18:00<\/font><\/font><\/p>\n<\/td>\n

\n <\/td>\n<\/tr>\n
\n

\n 18:00<\/font><\/font><\/p>\n<\/td>\n

\n

\n 18:30<\/font><\/font><\/p>\n<\/td>\n

\n <\/td>\n<\/tr>\n
\n

\n 18:30<\/font><\/font><\/p>\n<\/td>\n

\n

\n 19:00<\/font><\/font><\/p>\n<\/td>\n

\n

\n Welcoming Reception<\/font><\/font><\/p>\n<\/td>\n

\n <\/td>\n\n <\/td>\n\n <\/td>\n<\/tr>\n
\n

\n 19:00<\/font><\/font><\/p>\n<\/td>\n

\n

\n 19:30<\/font><\/font><\/p>\n<\/td>\n

\n <\/td>\n\n <\/td>\n\n <\/td>\n<\/tr>\n
\n

\n 19:30<\/font><\/font><\/p>\n<\/td>\n

\n

\n 20:00<\/font><\/font><\/p>\n<\/td>\n

\n <\/td>\n\n

\n Gala Dinner & Awards Ceremony<\/font><\/font><\/p>\n<\/td>\n

\n <\/td>\n<\/tr>\n
\n

\n 20:00<\/font><\/font><\/p>\n<\/td>\n

\n

\n 20:30<\/font><\/font><\/p>\n<\/td>\n

\n <\/td>\n\n <\/td>\n<\/tr>\n
\n

\n 20:30<\/font><\/font><\/p>\n<\/td>\n

\n

\n 21:00<\/font><\/font><\/p>\n<\/td>\n

\n <\/td>\n\n <\/td>\n<\/tr>\n
\n

\n 21:00<\/font><\/font><\/p>\n<\/td>\n

\n

\n 21:30<\/font><\/font><\/p>\n<\/td>\n

\n <\/td>\n\n <\/td>\n\n <\/td>\n<\/tr>\n
\n

\n 22:00<\/font><\/font><\/p>\n<\/td>\n

\n

\n 22:30<\/font><\/font><\/p>\n<\/td>\n

\n <\/td>\n\n <\/td>\n\n <\/td>\n<\/tr>\n<\/table>\n<\/figure>\n\n\n\n
\n\n\n\n

Sessions Details<\/h2>\n\n\n\n

\ud83d\udce2 Click here to consult the live updated programme.<\/strong><\/strong><\/a><\/p>\n\n\n\n

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\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

\n\t\t\t\tIEEE\n\t\t\t\tISC2 2026 \u2013 Conference Programme<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n

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\n\t\t\t\tPorto,\n\t\t\t\t27\u201330 October 2026 \u00b7 Oral presentations: 18 minutes<\/i><\/font><\/p>\n<\/td>\n<\/tr>\n

<\/td>\n<\/tr>\n<\/tbody>\n
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\n\t\t\t\tDay\n\t\t\t\t1 \u2013 Tuesday, 27 October \u00b7 Workshops & Tutorials<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t08:30\u201309:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRegistration\n\t\t\t\t& Check-in<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:00\u201318:30<\/b><\/font><\/p>\n<\/td>\n

\n

\n\t\t\t\tWorkshops\n\t\t\t\t& Tutorials (5 parallel rooms, A\u2013E)<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tW02\n\t\t\t\t\u2013 User-Centred Smart Mobility Services<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

\n

\n\t\t\t\t09:00\u201309:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

\n

\n\t\t\t\t1571332198<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBidirectional\n\t\t\t\tV2X Traffic-Signal Architecture for Autonomous Vehicles with\n\t\t\t\tPriority System<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJo\u00e3o\n\t\t\t\tAmaral<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

\n

\n\t\t\t\t09:18\u201309:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571332460<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLearning\n\t\t\t\tCharging Priority Policies for Adaptive Electric Vehicle Charging\n\t\t\t\tManagement<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVenkatesh\n\t\t\t\tChebolu<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:36\u201309:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571335562<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tVirtual Reality Simulation Tool for Accessibility Evaluation in\n\t\t\t\tTransport Hubs<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJoao\n\t\t\t\tCardoso<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:54\u201310:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571335793<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBeyond\n\t\t\t\tthe Desert Label: A Pathway Diagnostic for User-Centered Smart\n\t\t\t\tMobility Service Design<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tOluwasegun\n\t\t\t\tAdegoke<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t10:12\u201310:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571337730<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAn\n\t\t\t\tIntegrated Car Black Box System for User Centred Road Safety\n\t\t\t\tMonitoring in Smart Mobility Services<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSalma\n\t\t\t\tFauzia<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201311:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571337909<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAgile\n\t\t\t\tGovernance for Sustainable Mobility Transitions in Car-Dependent\n\t\t\t\tEnvironments: A Systematic Review of Tactical Urban Interventions<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTiago\n\t\t\t\tCruz Silva<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:18\u201311:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571338086<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDeterministic\n\t\t\t\tValidation for User-Centred AI Decision Support in an SME Service\n\t\t\t\tFleet<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJo\u00e3o\n\t\t\t\tGarcia Pinto Oliveira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:36\u201311:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571338224<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tPolicy-Aware Multi-Agent Framework for Multi-Objective Urban\n\t\t\t\tTourist Route Recommendation in Smart Cities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJadna\n\t\t\t\tCruz<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:54\u201312:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571340035<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tData-Driven\n\t\t\t\t3E Optimisation of Electric Vehicle Charging for Energy\n\t\t\t\tCommunities in Portugal using a Genetic Algorithm<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tS.\n\t\t\t\tM. Masum Ahmed<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tAn\n\t\t\t\tiTransformer-Based Architecture for eVTOL Battery Monitoring<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tW08\n\t\t\t\t\u2013 Towards Climate-Neutral Cities: Research, Innovation and\n\t\t\t\tInternational Cooperation<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tOpen\n\t\t\t\tsession – Welcome by the organizers and an overview of the\n\t\t\t\tworkshop’s goals<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKeynote:\n\t\t\t\tEuropean Climate-Neutral and Smart Cities Mission (by Paulo\n\t\t\t\tFerr\u00e3o)<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRound-table\n\t\t\t\tBrazil and Portugal experiences<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPortugal\n\t\t\t\tcity: Porto\u2019s Path to Carbon Neutrality: Experiences,\n\t\t\t\tChallenges and Opportunities (by H\u00e9lder Costa, Diretor de\n\t\t\t\tNeutralidade Carbonica do Porto)<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBrazilian\n\t\t\t\tcity: Implementing urban decarbonization programs in S\u00e3o Jose\n\t\t\t\tdos Campos City \u2013 S\u00e3o Paulo (by Marcelo Pereira Manara,\n\t\t\t\tSecretaria de Urbanismo e Sustentabilidade)<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDoes\n\t\t\t\ta Smart City Embrace a Circular Economy?-A case of Sejong Smart\n\t\t\t\tCity<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCo-located\n\t\t\t\tTraffic and Environmental Sensing across Three Countries: A\n\t\t\t\tCross-Site Comparison of Traffic-Environment Relationships<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGo\n\t\t\t\tYuasa<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tPublic\n\t\t\t\tData Integration for Climate-Related Electricity Interruptions: A\n\t\t\t\tSao Paulo Case Study<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAlexandre\n\t\t\t\tEuclides Ferreira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tLinking\n\t\t\t\tCircular Economy and Climate Action: Indicators for\n\t\t\t\tMulti-Criteria Decision Framework of Low-Carbon Solid Waste\n\t\t\t\tTechnologies<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLeticia\n\t\t\t\tdos Santos Macedo<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tW09\n\t\t\t\t\u2013 Digital Twins: Data Integration for Smart Cities<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tFrom\n\t\t\t\tDesign Intent to Field Reality: Implementation Challenges of an\n\t\t\t\tUnderground Utility Tunnel Digital Twin<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAssessing\n\t\t\t\tPedestrian Mobility Patterns in Crosswalks through Data-driven\n\t\t\t\tGeospatial Modelling<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoad\n\t\t\t\tScene Graph Generation Through Fine-Tuning Vision Language Model<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCIVITAS\/CORE\n\t\t\t\tas a Foundation for Urban Digital Twins: Assessing ARPGU\n\t\t\t\tCompliance and Data Integration<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tThe\n\t\t\t\tCity Digital Triplet: Toward Human-Centered Urban Decision\n\t\t\t\tIntelligence for Smart Cities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tI\n\t\t\t\tGusti Bagus Nugraha<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tReviving\n\t\t\t\tLegacy CAD for Urban Digital Twins: A DXF-to-WebGIS Pipeline for\n\t\t\t\tRoad Topology Reconstruction and National DEM Enrichment<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFigo\n\t\t\t\tAlunjati<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tW10\n\t\t\t\t\u2013 Architecting AI-Native Smart Cities: FIWARE and Governed\n\t\t\t\tIntelligent Services (AISCity)<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tA\n\t\t\t\tSecure and Scalable Data Architecture for the Integration of\n\t\t\t\tHeterogeneous Urban Data in Smart Cities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJo\u00e3o\n\t\t\t\tPedro Moreira Costa<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tEvaluating\n\t\t\t\tMCP Tool Surfaces for AI Agents over FIWARE Orion-LD: A Smart\n\t\t\t\tHealthcare Study<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tInvited\n\t\t\t\tkeynote "FIWARE and AI: A Compelling Roadmap" (by\n\t\t\t\tJuanjo Hierro, SEAMWARE, Spain)<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFrom\n\t\t\t\tResidue to System: A Hierarchical Agentic AI Framework for Urban\n\t\t\t\tMining Valorization in Guadalajara’s WEEE Management<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRadArt\n\t\t\t\tAI: agentic platform for user experiences on cultural events in\n\t\t\t\tLatin American Smart Cities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMiguel\n\t\t\t\tAngel Avalos Maciel<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tAgentic\n\t\t\t\tInfrastructure: A PET-Based Photobioreactor for Cultivating\n\t\t\t\tCyanobacteria, a Sustainable Autonomous Technology<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDaniel\n\t\t\t\tAlejandro Campos Li\u00f1an<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tConcluding\n\t\t\t\tremarks and workshop wrap-up<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tW12\n\t\t\t\t\u2013 Embedding iNtelligence in Smart mUnicipalities: Challenges\n\t\t\t\tand Opportunities (ENSURE)<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:00\u201315:15<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571328493<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRegulatory-Driven\n\t\t\t\tCybersecurity in Smart Mobility and Smart Municipal\n\t\t\t\tInfrastructures<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMaria\n\t\t\t\tPapaioannou<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:15\u201315:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571336975<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tScalable Hybrid Architecture for Intrusion Detection In Smart\n\t\t\t\tCity Networks<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDivyam\n\t\t\t\tTank<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:30\u201315:45<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571337887<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAn\n\t\t\t\tIntegrated Software Platform for Smart Public Lighting Management\n\t\t\t\tand Citizen Engagement<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAndr\u00e9\n\t\t\t\tLuiz Przybysz<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:45\u201316:00<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571338493<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAerial\n\t\t\t\tCrowd Analysis for Emergency Response: From Operational Scenarios\n\t\t\t\tto Verifiable Compliance<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tYasin\n\t\t\t\tGhafourian<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tWorkshop\n\t\t\t\tdynamics: thematic talks \/ round tables<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201317:15<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571339047<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tChallenges\n\t\t\t\tin Smart City Planning Processes and Preconditions for Successful\n\t\t\t\tBusiness Development<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMika\n\t\t\t\tRuostesuo<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:15\u201317:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tHardware\n\t\t\t\tRoot of Compliance: Compiling Regulation into Hardware Invariants<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDimitrios\n\t\t\t\tSerpanos<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:30\u201317:45<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571339753<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGeodados-MCP:\n\t\t\t\tA Trustworthy Data Server for Geospatial Agentic AI in Smart\n\t\t\t\tMunicipalities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDiogo\n\t\t\t\tCosme<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:45\u201318:00<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tToward\n\t\t\t\tRegulation-Aware Federated Learning for Smart-City Controlled\n\t\t\t\tEnvironment Agriculture<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tYazzed\n\t\t\t\tAbdalla<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tWorkshop\n\t\t\t\tdynamics: thematic talks \/ round tables<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tW13\n\t\t\t\t– Artificial Intelligence Impact on Smart Cities<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:00\u201315:15<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tWorkshop\n\t\t\t\tdynamics: thematic talks\/round tables<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t15:15\u201315:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571318407<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSurvival\n\t\t\t\tAnalysis for Predictive Maintenance Across Bike-Sharing Fleets: A\n\t\t\t\tCross-Domain Evaluation<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGabriel\n\t\t\t\tEggert de Freitas<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:30\u201315:45<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEnhancing\n\t\t\t\tthe Atmospheric Scattering Model for Smooth and Realistic Fog\n\t\t\t\tSynthesis<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMohamad\n\t\t\t\tMofeed Chaar<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tAgentic\n\t\t\t\tAI Voice Dispatch for Urban Housing Services: A Pilot Deployment\n\t\t\t\tCase Study<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAlexander\n\t\t\t\tRomashchenko<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t1571331986<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tC-ALRSS-Dubai\n\t\t\t\tfor Three-Tier Assurance of Preventive Clinical AI in Smart\n\t\t\t\tCities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVishnu\n\t\t\t\tNair<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tStudy\n\t\t\t\tTowards Regenerative and Resilient Smart Cities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSurendra\n\t\t\t\tbabu Gantenapati<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t1571339116<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTechnical\n\t\t\t\tPerspective of Deepfakes as a Growing Asymmetric Threat to\n\t\t\t\tDemocratic States, Cities, Communities and Societies<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEmil\n\t\t\t\tNussbeutel<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tToward\n\t\t\t\tLLM-Generated Personas to Support Participatory Transport\n\t\t\t\tPlanning: An Exploratory Study<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJoakim\n\t\t\t\tLord<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t1571339921<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRate-Deficit-Aware\n\t\t\t\tDRL for Joint 3D Trajectory and Transmit Power Control in\n\t\t\t\tMulti-UAV-Assisted Vehicular Networks<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tArif\n\t\t\t\tHossan<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tHybrid\n\t\t\t\tMultimodal Retrieval-Augmented Generation for Visually Rich\n\t\t\t\tTravel Behaviour Documents<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRabaa\n\t\t\t\tKhatib<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tExtending\n\t\t\t\tFleetPy into a Flexible Open-Source Base for Reinforcement\n\t\t\t\tLearning Training Environments in Mobility-on-Demand<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGabriel\n\t\t\t\tSchwartz<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tAn\n\t\t\t\tAgent-Based Simulation Framework for Evidence-Based Workplace\n\t\t\t\tPolicy Design<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDanielle\n\t\t\t\tLuz<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tW14\n\t\t\t\t\u2013 Water Supply Systems of the Future (WATERDEAL)<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tWATERDEAL\n\t\t\t\tProject: Perspectives & Discussion<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tInvited\n\t\t\t\tkeynote "From Simulation to Savings: Towards Efficient,\n\t\t\t\tResilient and Loss-Aware Water Distribution Networks" (by\n\t\t\t\tAthanasios Serafeim, Sparkworks, Greece)<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCompressing\n\t\t\t\tthe Hydraulic State: A Framework for Edge-AI Water-Leakage\n\t\t\t\tEstimation in Digital Twins<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDomenico\n\t\t\t\tGarlisi<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tThe\n\t\t\t\tTethys Dataset: Seven Years of Hourly Smart Water Metering and a\n\t\t\t\tPipeline for Making It Usable<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDimitrios\n\t\t\t\tAmaxilatis<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tRobust\n\t\t\t\tGraph Neural Networks for Water Distribution Monitoring with\n\t\t\t\tDenoised Graph Laplacian<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tHimel\n\t\t\t\tGhosh<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tTopology-Aware\n\t\t\t\tSensor Placement for Pressure Reconstruction in Water\n\t\t\t\tDistribution Networks<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTheodor-Andrei\n\t\t\t\tMarinoaica<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tDiscussion\n\t\t\t\tPanel "Digitalization of Water Distribution Networks: Open\n\t\t\t\tChallenges"<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tW15\n\t\t\t\t– Emerging Technologies and Innovation for Sustainable Smart\n\t\t\t\tCities<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tEcoSniff:\n\t\t\t\tA Spatial Digital Twin-Ready Urban Sensing Infrastructure for\n\t\t\t\tReal-Time Gas Emission Monitoring in Composting Facilities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAida\n\t\t\t\tFerreira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tSustainMobility\n\t\t\t\t– A Work-in-Progress Framework for Discussing Impact Assessment\n\t\t\t\tin Sustainable Mobility Systems<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPascal\n\t\t\t\tMast<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:30\u201317:45<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571339598<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFrom\n\t\t\t\tSmart Campus Pilots to City Scale IoT Infrastructure: Lessons\n\t\t\t\tfrom CEDINT-UPM<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGuillermo\n\t\t\t\tdel Campo<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:45\u201318:00<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571339997<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFrom\n\t\t\t\tAutomated Assessment to Personalized Feedback: Extending the\n\t\t\t\tMachine Teaching Competency-Driven Framework with LLMs<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCarla\n\t\t\t\tAmor Divino Moreira Delgado<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t18:15\u201318:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\tWorkshop\n\t\t\t\tround table<\/i><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t10:30\u201311:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCoffee\n\t\t\t\tBreak \u00b7 Poster Session WP \u2013 Workshop Posters (11 posters)<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tBoard<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t01A<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571323900<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSmartFlow:\n\t\t\t\tA User-Centred Decision-Support Framework for Predictive Traffic\n\t\t\t\tand Scenario-Based Smart Mobility<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFathima\n\t\t\t\tZahrah<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t02A<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571336737<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSmart\n\t\t\t\tAI Canopies for Condensate Recovery and Climate-Responsive\n\t\t\t\tOutdoor Cooling<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMuhammad\n\t\t\t\tAlyan Arshad<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571339020<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMultimodal\n\t\t\t\tDeep Learning for Blood Cell Classification Using Image-Derived\n\t\t\t\tDescriptive Text<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDany\n\t\t\t\tRaouf Rene Farran<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t04<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571339095<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSignBridge:\n\t\t\t\tA Standalone, Low-Latency Edge-AI Gateway for Bi-Directional Sign\n\t\t\t\tLanguage Translation<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMaleesha\n\t\t\t\tChamodi Kottage Rajapaksha<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t05<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571339699<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tNeurodata\n\t\t\t\tGovernance for Public Health Systems: Lessons from the Chilean\n\t\t\t\tEmotiv Ruling<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAsma\n\t\t\t\tKhanam<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t06<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571340228<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBreathe\n\t\t\t\tEasy: Machine Learning Framework for Multi-Pollutant Indoor Air\n\t\t\t\tQuality Prediction in School Classrooms<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMufliha\n\t\t\t\tDawood<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t07<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571340367<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDigital\n\t\t\t\tTwins in Parkinson’s Disease: Mapping Care Applications,\n\t\t\t\tTechnological Maturity, and Stakeholder Involvement<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKashfi\n\t\t\t\tRahman<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t08<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571343412<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBridging\n\t\t\t\tthe Connectivity Divide: Evaluating EdTech Platforms as\n\t\t\t\tPreventive Digital Health Infrastructure for Low-Connectivity\n\t\t\t\tSmart Cities<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDaniel\n\t\t\t\tCabezas<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571343568<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCondensEd:\n\t\t\t\tAn IoT-Enabled Proof-of-Concept for Smart Air-Conditioner\n\t\t\t\tCondensate Recovery<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSvetlana\n\t\t\t\tDsouza<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t01B<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571331863<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGuardianCity\n\t\t\t\tAI: A Privacy-Preserving Multi-Agent Digital Twin Framework for\n\t\t\t\tPreventive Healthcare in Smart Cities<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAbdul\n\t\t\t\tHadi Kidwai<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t02B<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571342833<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAutonomous\n\t\t\t\tPrivate Cloud Infrastructure for Digital Healthcare in Smart\n\t\t\t\tCities<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVarun\n\t\t\t\tKumaravel<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t12:30\u201314:00<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLunch<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201315:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDemonstration\n\t\t\t\tof an autonomous and connected vehicle<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t16:30\u201317:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCoffee\n\t\t\t\tBreak \u00b7 Workshop Poster Session WP (same 11 posters, authors\n\t\t\t\tpresent again)<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t18:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tWelcoming\n\t\t\t\tReception<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

<\/td>\n<\/tr>\n<\/tbody>\n
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\n\t\t\t\tDay\n\t\t\t\t2 \u2013 Wednesday, 28 October<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t08:30\u201309:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRegistration\n\t\t\t\t& Check-in<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:00\u201309:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t09:30\u201310:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKeynote:\n\t\t\t\t"From Data to City Decisions: How Porto Builds a Smarter\n\t\t\t\tUrban Future"<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t10:30\u201311:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCoffee\n\t\t\t\tBreak \u00b7 Poster Session PS1-M \u2013 Smart Mobility: Services,\n\t\t\t\tDemand & Analytics (9 posters)<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tBoard<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t01<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571290333<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRecRoute:\n\t\t\t\tA Proactive Route Awareness for Smart City Mobility<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEduardo\n\t\t\t\tVasconcelos<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t02<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571300873<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tApplications\n\t\t\t\tand Indicators for Deploying Smart Routing Services<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJo\u00e3o\n\t\t\t\tMontenegro<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t03<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571291092<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMachine\n\t\t\t\tLearning-Based Prediction of MaaS Availabilities for Sustainable,\n\t\t\t\tIntermodal Mobility<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJens\n\t\t\t\tZiehn<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t04<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571305990<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tData-Driven\n\t\t\t\tElectric Vehicle Charging Session Typologies Using Interpretable\n\t\t\t\tClustering<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTiago\n\t\t\t\tCouto<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t05<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306060<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPredicting\n\t\t\t\tFloating Car Data (FCD) Penetration Rate for Urban Traffic\n\t\t\t\tEstimation<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tThamires\n\t\t\t\tde Souza Oliveira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t06<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303195<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tWorkflow for Emission Analysis from a Large-Scale Multimodal\n\t\t\t\tTransport Simulation of Porto’s Metropolitan Area<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tIohan\n\t\t\t\tXavier Sardinha Dutra Soares<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t07<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303318<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tNudging\n\t\t\t\tBehavior Towards Sustainable Urban Mobility for Smart Transitions<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMariam\n\t\t\t\tAfonso<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t08<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303440<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPredicting\n\t\t\t\tSerious and Fatal Cyclist Crashes Before They Happen Using\n\t\t\t\tPre-Crash Multimodal Data in Greater London<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLu\u00eds\n\t\t\t\tRita<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571306082<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tUnderstanding\n\t\t\t\tPedestrian Red-Light Violations Through Vision-Based Analytics\n\t\t\t\tand Bilevel Hazards Modeling<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tYiran\n\t\t\t\tWang<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201312:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tParallel\n\t\t\t\tSessions 1A, 1B, 1C<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tTime<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201312:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t1A \u2013 Public Transport & On-Demand Mobility<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201311:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294525<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSpatiotemporal\n\t\t\t\tNeural Networks for Operational Demand Forecasting in Public\n\t\t\t\tTransportation: A Case Study in a Large Brazilian City<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGustavo\n\t\t\t\tFalc\u00e3o Paim da Silva<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:18\u201311:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571295375<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tThe\n\t\t\t\tImpact of Energy Cost Weighting on Travel Time and Efficiency in\n\t\t\t\tBus Corridors: A Multi-Objective MPC Study<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGabriel\n\t\t\t\tBorelli Martins<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:36\u201311:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306183<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSigabem:\n\t\t\t\tAn Event-Driven Geospatial IoT Platform for Accessible Boarding\n\t\t\t\tin Smart Public Transport<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tIsabelly\n\t\t\t\tGabriela Cavalcanti Bernardes<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:54\u201312:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571300866<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFeeder-aware\n\t\t\t\tOptimization for Mobility-on-Demand Systems at Rail Hubs<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGustavo\n\t\t\t\tHenrique Santos Rodrigues<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t12:12\u201312:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571301967<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDigital\n\t\t\t\tTwin-Based Indoor-Outdoor Human Mobility Monitoring for\n\t\t\t\tAutonomous Shuttle Services Using BLE Beacons<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKensei\n\t\t\t\tMaeda<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201312:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t1B \u2013 Energy Demand Forecasting & Residential Systems<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201311:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303423<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTransferability\n\t\t\t\tof Short-Term Building Power Demand Forecasting: From a Shopping\n\t\t\t\tCenter to an Office Building<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBruno\n\t\t\t\tPalley<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:18\u201311:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571295502<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSpatio-Temporal\n\t\t\t\tDeep Learning for District Heating Consumption Forecasting in\n\t\t\t\tMunicipal School Buildings<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tNafil\n\t\t\t\tMahmud<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:36\u201311:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293518<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tProbabilistic\n\t\t\t\tforecasting of cogenerated district heating in Finland under\n\t\t\t\tstructural fleet transition: a Temporal Fusion Transformer\n\t\t\t\tapproach<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMaria\n\t\t\t\tRohnonen<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:54\u201312:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571310194<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGeography-Free\n\t\t\t\tSpatiotemporal Forecasting for Distributed Energy Systems via\n\t\t\t\tCorrelation-Ordered Patch-Based Deep Learning<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPhil\n\t\t\t\tAupke<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t12:12\u201312:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293008<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBehavior-Aware\n\t\t\t\tDigital Twins for Residential Energy Systems with FMI-Based\n\t\t\t\tCross-Platform Deployment<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBabak\n\t\t\t\tArbab-Zavar<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201312:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t1C \u2013 Edge-Cloud Continuum & Resource Orchestration<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201311:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294102<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEROS:\n\t\t\t\tEnergy-Aware Resource Orchestration for Sustainable Smart City\n\t\t\t\tInfrastructure<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGiselly\n\t\t\t\tAlves Reis<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:18\u201311:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294124<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCarira:\n\t\t\t\tA Trade-off-Aware Placement Strategy for Resilient Smart City\n\t\t\t\tApplications<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tWesley\n\t\t\t\tSouza<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:36\u201311:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294782<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tIGNIS:\n\t\t\t\tA Multi-Agent Orchestration Strategy for Latency-Sensitive Smart\n\t\t\t\tCity Applications<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTauane\n\t\t\t\tSales<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:54\u201312:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303451<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tReducing\n\t\t\t\tResource Fragmentation in Smart City Edge Infrastructures through\n\t\t\t\tDynamic Worker Repurposing<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMaxine\n\t\t\t\tFilgueira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t12:12\u201312:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571299806<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSAPPARCHI\n\t\t\t\tEdge AI: a serverless middleware for adaptive AI orchestration at\n\t\t\t\tEdge-Cloud Continuum<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGeorge\n\t\t\t\tRavelly da Silva Ribeiro<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t12:30\u201314:00<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLunch<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201315:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPanel:\n\t\t\t\t"From Sensors to Data"<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:00\u201316:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tParallel\n\t\t\t\tSessions 2A, 2B, 2C<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tTime<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:00\u201316:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t2A \u2013 Shared Mobility, Micromobility & MaaS<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:00\u201315:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571292828<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tIntegrated\n\t\t\t\tMobility Hubs and Where to Place Them: A Graph-Based MILP\n\t\t\t\tOptimization Approach<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMoritz\n\t\t\t\tVocht<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:18\u201315:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571299297<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPreference-Conditioned\n\t\t\t\tPortfolio Selection for Bike-Sharing Station Expansion in Smart\n\t\t\t\tCities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tIgor\n\t\t\t\tBetkier<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:36\u201315:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571301519<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tDemand-Dependent Data-Driven Approach to Aid Layout Design for\n\t\t\t\tBike-Sharing Systems<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tHazal\n\t\t\t\tAkova<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:54\u201316:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571301823<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tShared\n\t\t\t\tE-Scooter Demand in the Porto Metropolitan Area: Spatial\n\t\t\t\tConcentration, Built Environment, and Infrastructure Gaps<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMadhu\n\t\t\t\tBelbase<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:00\u201316:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t2B \u2013 Waste Management & Emissions<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:00\u201315:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302569<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRAICYCLE:\n\t\t\t\tAutonomous Urban Waste Monitoring with Multi-Parameter Sensing,\n\t\t\t\tKinetic Energy Harvesting, and Digital Twin Optimization<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRui\n\t\t\t\tLopes<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:18\u201315:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302586<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tContinuous-Time Simulation Platform for Smart Waste Collection\n\t\t\t\twith Classic Vehicle Routing Algorithms for the RAICYCLE System<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAhmed\n\t\t\t\tIbrahim<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:36\u201315:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302577<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCo-Designing\n\t\t\t\tContinuous Retraining and Zero-Downtime Inference for Two-Stage\n\t\t\t\tVOC Contamination Detection in Smart Waste Bins<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMahdia\n\t\t\t\tAhmadi<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:54\u201316:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571309587<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMethane\n\t\t\t\tEmissions from Brazilian Landfills: An Analysis Based on Carbon\n\t\t\t\tMapper Data<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLaura\n\t\t\t\tCunha Rebou\u00e7as Lessa<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t16:12\u201316:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306219<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tUrban\n\t\t\t\tDecarbonization through Circular Waste Management: Climate\n\t\t\t\tTargets, Policy Drivers, and an Anaerobic Digestion Strategy in\n\t\t\t\tBrazil<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLeticia\n\t\t\t\tdos Santos Macedo<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:00\u201316:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t2C \u2013 Data Spaces & Semantic Interoperability<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:00\u201315:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571286880<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tExtending\n\t\t\t\tDataspace Governance to Network Resource Control: ODRL-Aware\n\t\t\t\tAdmission Control for Smart City Emergency Scenarios<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKazuma\n\t\t\t\tHatano<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:18\u201315:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571300887<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tReview on European Data Platforms and Frameworks Towards\n\t\t\t\tDiscoverability of Mobility Data<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tL\u00edgia\n\t\t\t\tConcei\u00e7\u00e3o<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:36\u201315:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303446<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tExtending\n\t\t\t\tUrban Data Platforms through Heterogeneous Smart City Verticals<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAndr\u00e9\n\t\t\t\tOliveira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:54\u201316:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571305762<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTowards\n\t\t\t\tUrban Data Interoperability: A Brick-Based Semantic Architecture\n\t\t\t\tfor Smart Building Data Spaces<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSteven\n\t\t\t\tSantillan<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t16:12\u201316:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571295159<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMultimodal\n\t\t\t\tLLM-Assisted Semantic Tagging of BMS Data using Brick Schema<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRuvimbo\n\t\t\t\tKapondo<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t16:30\u201317:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCoffee\n\t\t\t\tBreak \u00b7 Poster Session PS1-A \u2013 Connected Vehicles, Urban\n\t\t\t\tAirspace & City Services (9 posters)<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tBoard<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t01<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571294716<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCyber\n\t\t\t\tAttack Prediction and Agentic Simulation in Connected Autonomous\n\t\t\t\tVehicles<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAlexandra\n\t\t\t\tRombos<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t02<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571302691<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tProbabilistic\n\t\t\t\tReaction Modeling for Cut-in Maneuvers Using Dynamic Bayesian\n\t\t\t\tNetworks<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKranthi\n\t\t\t\tKumar Talluri<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t03<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303412<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tInterpreting\n\t\t\t\tRegulatory Requirements for Highly Automated Vehicles in Smart\n\t\t\t\tCities: An Illustrative Case of Automated Shuttle Buses in\n\t\t\t\tGermany<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tHanxiang\n\t\t\t\tZhu<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t04<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571291204<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRethinking\n\t\t\t\tUrban Low-Altitude UAV Traffic Management: From Shortest-Path\n\t\t\t\tOptimality to Structured, Block-Based Airspace<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tChao\n\t\t\t\tWang<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t05<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571305980<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tToward\n\t\t\t\tSafer Urban Airspace: Countermeasure-Induced UAV Ground Risk\n\t\t\t\tAssessment with Predictive Decision Support<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tZiang\n\t\t\t\tChen<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t06<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303420<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAI-Native\n\t\t\t\tControl in 6G NTN-V2X: Scheduling, Mobility, and Cross-Domain\n\t\t\t\tOrchestration<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMaria\n\t\t\t\tTrigka<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t07<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294142<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBeyond\n\t\t\t\tthe Crossroads: HERMES Predictive Resource Management for the\n\t\t\t\tContinuum<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRodrigo\n\t\t\t\tAlmeida Bezerra<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t08<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303308<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVessel\n\t\t\t\tIdentification System in Port Environments Using Computer Vision\n\t\t\t\tand Deep Learning Models<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFernando\n\t\t\t\tYamamoto Lichtenfels Riccio<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571293956<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSaving\n\t\t\t\tLives at the Edge: A Closed-Loop Clinical Feedback Architecture\n\t\t\t\tfor IoT Health Monitoring<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMateus\n\t\t\t\tRoveda<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201318:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tParallel\n\t\t\t\tSessions 3A, 3B, 3C<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tTime<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201318:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t3A \u2013 Mobility Planning & Pedestrian Analytics<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201317:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571295022<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFrom\n\t\t\t\tSustainable Urban Mobility Plans to Smart City Development: A\n\t\t\t\tMaturity Model Approach<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCarlos\n\t\t\t\tSampaio<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:18\u201317:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293503<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tData-Driven\n\t\t\t\tPolicymaking in Smart Cities: A Framework for Large-Scale Active\n\t\t\t\tMobility Experiments<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKaiky\n\t\t\t\tCintra<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:36\u201317:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302204<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAccessibility\n\t\t\t\tin Hospital Network Planning: An ITS-Based Empirical Study for\n\t\t\t\tSmart Cities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tZeynep\n\t\t\t\tNur Duman<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:54\u201318:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303347<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBBAX:\n\t\t\t\tAn Explainable Blackboard-Based Architecture for\n\t\t\t\tReliability-Aware Multimodal Mobility Planning<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSoraia\n\t\t\t\tPacheco Almeida Silva Fel\u00edcio<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t18:12\u201318:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306372<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSpatial\n\t\t\t\tState: A Dynamic Framework for Characterizing Urban Spaces Using\n\t\t\t\tLiDAR-Based Pedestrian Data<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tYuki\n\t\t\t\tIgeta<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201318:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t3B \u2013 Climate Risk & Green Infrastructure<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201317:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571290640<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tHEARL:\n\t\t\t\tA Hybrid Event-Aware Residual Learning Framework for Smart City\n\t\t\t\tFlash Flood Forecasting<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGerson\n\t\t\t\tMello<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:18\u201317:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571299971<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tGeospatial Approach to Assessing Urban Flood Resilience based on\n\t\t\t\tTree Canopy<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJo\u00e3o\n\t\t\t\tPaulo Peixoto<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:36\u201317:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293986<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tHeat\n\t\t\t\tRisk Index Analysis Using Thermal Satellite, Vulnerability, and\n\t\t\t\tEnvironment Data<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tHanna\n\t\t\t\tKretz<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:54\u201318:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294109<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tToward\n\t\t\t\tIntelligent and Sustainable Urban Planning: AI-Based Assessment\n\t\t\t\tof the 3-30\u2013300 Green Infrastructure Rule – A Case Study in S\u00e3o\n\t\t\t\tPaulo<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tIgor\n\t\t\t\tMerlo Maciel Rocha<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t18:12\u201318:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571299480<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAI\n\t\t\t\tLearning Capabilities and Decision Intelligence Benefits for\n\t\t\t\tSmart Cities Towards the Twin Green and Digital Transition<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJo\u00e3o\n\t\t\t\tCatal\u00e3o<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201318:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t3C \u2013 AI for Learning, People & Society<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201317:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571282866<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEnhancing\n\t\t\t\tSTEM Education Through a 3D-Printed Smart City Model and\n\t\t\t\tAffordable Electronic Components<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTiago\n\t\t\t\tPino<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:18\u201317:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302989<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFrom\n\t\t\t\tSensor Data to Classroom Inquiry: GenAI-Supported Exploration of\n\t\t\t\tSchool Digital Twin Data<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tThemistoklis\n\t\t\t\tSarantakos<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:36\u201317:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306354<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tHappiness\n\t\t\t\tFinder: Exploring Human-AI Interaction in Experiential Four-Leaf\n\t\t\t\tClover Search<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTakeo\n\t\t\t\tHamada<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:54\u201318:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571299920<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTowards\n\t\t\t\tSmart Organizations: A Socio-Technical Multi-Agent System\n\t\t\t\tEnhanced with LLM for Early Detection of Workforce Disengagement<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDanielle\n\t\t\t\tLuz<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

<\/td>\n<\/tr>\n<\/tbody>\n
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\n\t\t\t\tDay\n\t\t\t\t3 \u2013 Thursday, 29 October<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t08:30\u201309:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRegistration\n\t\t\t\t& Check-in<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:30\u201310:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKeynote:\n\t\t\t\t"Autonomous mobility in a cooperative and connected\n\t\t\t\tenvironment: from theory to reality"<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t10:30\u201311:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCoffee\n\t\t\t\tBreak \u00b7 Poster Session PS2\u2013M \u2013 Water, Energy & Agriculture\n\t\t\t\t(9 posters)<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tBoard<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t01<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303416<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDesign\n\t\t\t\tof a Smart Solar- Powered Water Management System for Sustainable\n\t\t\t\tand Resilient Urban Water Supply<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBrian\n\t\t\t\tOkari<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t02<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303431<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDeep\n\t\t\t\tLearning-Based Marine Debris Detection for Smart Water\n\t\t\t\tMonitoring: A Comparative Evaluation with Cross-Domain Testing on\n\t\t\t\tRiver Floating Trash Images<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDaniel\n\t\t\t\tVoskergian<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t03<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571306169<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSmart\n\t\t\t\tMetering Water Consumption System based on the Wi-SUN FAN 1.1\n\t\t\t\tStandard<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGiancarlo\n\t\t\t\tCovolo Heck<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t04<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571299152<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tToward\n\t\t\t\tConsumer-centric Microgrid Location Planning in Smart Cities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tThiago\n\t\t\t\tJesus<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t05<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571304300<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMulti-Objective\n\t\t\t\tSizing and Modeling of a Grid-Connected Microgrid for Smart\n\t\t\t\tCities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGuilherme\n\t\t\t\tBrito<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t06<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571301827<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tIoT-Based\n\t\t\t\tSmart Agriculture Monitoring in Controlled Environments: A\n\t\t\t\tSystematic Review for Smart City Applications (2015\u20132025)<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRocio\n\t\t\t\tMaciel Arellano<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t07<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571306152<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLow-Cost,\n\t\t\t\tIoT-Based Multi-Parameter Water Quality Monitoring for Smart\n\t\t\t\tAquaculture: A Case Study in Tilapia Farming<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLuciana\n\t\t\t\tAra\u00fajo<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t08<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571301845<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBuilding\n\t\t\t\ta Registration and Geolocation System for Green Roofs in the City\n\t\t\t\tof Recife<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGilberto\n\t\t\t\tSilva do Nascimento<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571306239<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDecentralized\n\t\t\t\tIdentity Framework for Multi-Chain Carbon Credit Registries:\n\t\t\t\tMitigating Double Counting Risks<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tWagner\n\t\t\t\tSilva<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201312:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tParallel\n\t\t\t\tSessions 4A, 4B, 4C<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tTime<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201312:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t4A \u2013 Connected Vehicles & Vehicular Networks<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201311:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571301836<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tMiddleware for Stationary and Mobile Vehicular Cloud Computing<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDavid\n\t\t\t\tCavalcanti<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:18\u201311:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306180<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tStochastic\n\t\t\t\tmodeling of VM migration in vehicular clouds for smart mobility\n\t\t\t\tfleets<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVin\u00edcius\n\t\t\t\tSantos de Almeida<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:36\u201311:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302765<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAn\n\t\t\t\tIn-Network Architecture for Smart 2\u2013Wheelers Based on CANBus<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTiago\n\t\t\t\tRodrigue<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:54\u201312:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294452<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tNINA:\n\t\t\t\tA Hybrid Quantum-Classical Federated Framework for Intrusion\n\t\t\t\tDetection in Smart City Transportation Infrastructure<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tIsys\n\t\t\t\tNogueira de Sant Anna<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t12:12\u201312:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303326<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCyberSiren:\n\t\t\t\tA Hybrid Emergency Alert System for Vulnerable Road Users<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tYanes\n\t\t\t\tNascimento<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201312:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t4B \u2013 Smart Agriculture & Environmental Sensing<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201311:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571299047<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAutomated\n\t\t\t\tIn-Field Measurement of Tomato Phenotypic Traits using 3D\n\t\t\t\tGaussian Splatting<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tYusuke\n\t\t\t\tSasaki<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:18\u201311:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306098<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tMultimodal Framework for Pest Dynamics Prediction in Precision\n\t\t\t\tAgriculture<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tV\n\t\t\t\tN S Kameswari Manchikanti<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:36\u201311:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302899<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tIrrigueCerto:\n\t\t\t\tA PWA Architecture for Hydrochemical Classification and Batch\n\t\t\t\tProcessing of Irrigation Data<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tIgor\n\t\t\t\tVitor de Souza Martiniano<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:54\u201312:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294397<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSimilarity-Based\n\t\t\t\tPseudo-Label Generation for AI-Driven Calibration of Urban\n\t\t\t\tLow-Cost Sensor Networks<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRichard\n\t\t\t\tIltner<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t12:12\u201312:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293962<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tClosed-Loop Spectrum-Aware LED Lighting Control System Based on a\n\t\t\t\tLow-Cost, Low-Power Spectrometer<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJing\n\t\t\t\tWu<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201312:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t4C \u2013 Urban Data Platforms & Geospatial Analytics<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201311:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306374<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEvaluating\n\t\t\t\tthe Health of Open-Source Smart City Platforms<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRodrigo\n\t\t\t\tBravo Sim\u00f5es<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:18\u201311:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293027<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tD5\u2013Hive:\n\t\t\t\tA Distributed and Redundant Architecture for Urban Data\n\t\t\t\tManagement<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAlexandre\n\t\t\t\tSousa<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:36\u201311:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293954<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEvaluating\n\t\t\t\tn8n as a Lightweight Event Driven Integration Layer for Smart\n\t\t\t\tCity Digital Services<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tChristian\n\t\t\t\tLancheros<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:54\u201312:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302875<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tUrbAI:\n\t\t\t\tAn AI Assistant for Natural-Language Geospatial Analytics in\n\t\t\t\tSmart City Platforms<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tIan\n\t\t\t\tPorpino<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t12:12\u201312:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302137<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCityCrowd:\n\t\t\t\tDeveloping an Offline-Capable, Location-Based Mobile App for\n\t\t\t\tUrban Data Collection<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tNikolay\n\t\t\t\tTcholtchev<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t12:30\u201314:00<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLunch<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201315:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tParallel\n\t\t\t\tSessions 5A, 5B, 5C<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tTime<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201315:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t5A \u2013 Mobility Modelling, Simulation & Synthetic Data<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201314:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303902<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tHyperbolic\n\t\t\t\tTime Chamber: A Modern High-Performance Actor-Based Simulator for\n\t\t\t\tLarge-Scale Urban Mobility<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFrancisco\n\t\t\t\tWallison Carlos Rocha<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:18\u201314:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571305157<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTHTripGen:\n\t\t\t\tA Time-First Hierarchical OD-Aware Generator for Synthetic Urban\n\t\t\t\tTrip Microdata<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRaphael\n\t\t\t\tde Camargo<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:36\u201314:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293933<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tUniversal Two-Layered Bayesian Model for Synthetic Population\n\t\t\t\tGeneration in Agent-Based Models<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tYunshuo\n\t\t\t\tTang<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:54\u201315:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571301525<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAdaptive\n\t\t\t\tStreaming PPM for Human Mobility Prediction under Memory\n\t\t\t\tConstraints<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tThiago\n\t\t\t\tAndrade<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:12\u201315:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306195<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVirtual\n\t\t\t\tAir-Quality Sensing for Smart Cities: A SUMO-Based Framework for\n\t\t\t\tEnvironmental Assessment in Connected Mobility<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMihai\n\t\t\t\tKocsis<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201315:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t5B \u2013 Sustainable & Carbon-Neutral Cities<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201314:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571280600<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFrom\n\t\t\t\tSmart Cities to Conscious Cities: Rethinking Urban Intelligence\n\t\t\t\tfor Collective Well-Being and Regeneration<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJavier\n\t\t\t\tSanchez-Medina<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:18\u201314:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306101<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTracing\n\t\t\t\tSustainability Evidence in Smart Sustainable Communities: LLM\n\t\t\t\tKnowledge Graphs for SDG 11 Interlinkages in the Nile Basin<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTasia\n\t\t\t\tWibawa<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:36\u201314:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306216<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tStrategies\n\t\t\t\tfor the Implementation of the Science Center for Development\n\t\t\t\t(CCD) Carbon Neutral Cities in Brazil: A Quadruple Helix Approach<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCl\u00e1udia\n\t\t\t\tTeixeira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:54\u201315:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303193<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tUrbanValue:\n\t\t\t\tA Decision-Support Framework for ESG-Driven Urban Transformation<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSonja\n\t\t\t\tBerthold<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:12\u201315:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306063<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tComprehensive\n\t\t\t\tEnergy Management System for Plug-in Charging of Electric\n\t\t\t\tVehicles and Maritime Loads in Smart Ports<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tResul\n\t\t\t\tSoylu<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201315:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t5C \u2013 Networks & Urban Sensing Infrastructure<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201314:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293923<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFrom\n\t\t\t\tText to Topology: How LLMs Plan Dependability-Aware Wireless\n\t\t\t\tVisual Sensor Network Configuration<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tThiago\n\t\t\t\tJesus<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:18\u201314:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294418<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEvent-Aware\n\t\t\t\tRedundancy Analysis of Urban IoT Sensor Networks During Wildfire\n\t\t\t\tSmoke Episodes<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGeorgios\n\t\t\t\tMermigkis<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:36\u201314:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571297643<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tUA-HBAS-PPO:\n\t\t\t\tUncertainty-Aware Hybrid Bee-Ant Swarm Coordination with PPO\n\t\t\t\tBehavior Selection for Robust Urban Monitoring<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVahid\n\t\t\t\tTavakkoli<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:54\u201315:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293176<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tOn\n\t\t\t\tthe Latency of Secure MQTT over QUIC vs. TCP: An experimental\n\t\t\t\tevaluation<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSebastian\n\t\t\t\tLeclerc<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:30\u201316:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCoffee\n\t\t\t\tBreak \u00b7 Poster Session PS2\u2013A \u2013 Smart Buildings, Networks &\n\t\t\t\tUrban Data (9 posters)<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tBoard<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

\n

\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t01<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571294673<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAn\n\t\t\t\tOpen and Interoperable IoT Smart Urban Space for Mobility, Energy\n\t\t\t\tand Environmental Monitoring at Mercamadrid<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGuillermo\n\t\t\t\tdel Campo<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t02<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303415<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSensor-Driven\n\t\t\t\tWashroom Service Optimization in Smart Buildings using\n\t\t\t\tInterpretable Demand States<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEbrahim\n\t\t\t\tBehrouzian Nejad<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t03<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571291033<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tInteroperable\n\t\t\t\tSmart Building Control with Ontology-Based Facility\n\t\t\t\tRepresentation and Context-Aware LLM Agents<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGenki\n\t\t\t\tHorie<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t04<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571294429<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTemporal\n\t\t\t\tRobustness in Edge-Based Multimodal Occupancy Detection<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJuliana\n\t\t\t\tRibeiro<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t05<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571299050<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCetra:\n\t\t\t\tAn Ontology-Grounded Semantic-State Runtime for Governed\n\t\t\t\tLLM-Enabled Agricultural Digital Twins<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tYusuke\n\t\t\t\tSasaki<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t06<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571279945<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tImpact\n\t\t\t\tAnalysis and Performance Validation of Perimeter Security and\n\t\t\t\tQuality of Service (QoS) in an Enterprise LAN\/WAN Network\n\t\t\t\tArchitecture: A GNS3-Based Simulation Study<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJose\n\t\t\t\tChalan<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t07<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571280334<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPerformance\n\t\t\t\tEvaluation of 5G NR OFDM Links Under Rayleigh and Rician Fading<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSara\n\t\t\t\tShigla<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t08<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303345<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tData-Driven Approach to Predicting Itinerary Delays in\n\t\t\t\tMulti-Modal Transit Networks<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCatarina\n\t\t\t\tCanelas<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571298328<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLow-Carbon\n\t\t\t\tTechnological Trends for Sustainable Cities: A Foresight Study\n\t\t\t\tBased on Patent Databases<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tClaudia\n\t\t\t\tKniess<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t16:00\u201317:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKeynote:\n\t\t\t\t"Wireless Power Transfer\u2013Based Solid-State Transformers\n\t\t\t\tfor Next-Generation AI Data Centers"<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201318:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tParallel\n\t\t\t\tSessions 6A, 6B, 6C<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tTime<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201318:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t6A \u2013 Urban Logistics, Fleets & EV Charging<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201317:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571305436<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMulti-Armed\n\t\t\t\tBandits for Coordinating Electric Taxi Charging Towards\n\t\t\t\tCooperative Urban Mobility<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAnt\u00f3nio\n\t\t\t\tRibeiro da Costa<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:18\u201317:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571305992<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDistributed\n\t\t\t\tAsynchronous Column Generation for Large-Scale Multi-Operator\n\t\t\t\tFleet Scheduling in Urban Air Mobility<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tZexuan\n\t\t\t\tWu<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:36\u201317:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571300590<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tmodel for last-mile delivery with lockers and volunteers<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJo\u00e3o\n\t\t\t\tPedro Pedroso<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:54\u201318:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571305701<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tSpatial Decision-Support Platform for Data-Driven Last-Mile\n\t\t\t\tLogistics<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tT\u00e2nia\n\t\t\t\tFontes<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t18:12\u201318:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303438<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEmpirical\n\t\t\t\tReward Shaping for Urban Co-Modality<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGon\u00e7alo\n\t\t\t\tJorge Soares Ferreira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201318:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t6B \u2013 Energy Communities, Metering & Household Data<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201317:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306085<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTwo-Stage\n\t\t\t\tHome Energy Scheduling for Peer-to-Peer Trading and Peak-Demand\n\t\t\t\tMitigation in Local Energy Communities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCamila\n\t\t\t\tMoreira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:18\u201317:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293696<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tOntology-Driven\n\t\t\t\tSemantic Interoperability for Smart Communities: Integrating\n\t\t\t\tDistributed Energy Data for Digital Twins<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMaroua\n\t\t\t\tDjelouat<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:36\u201317:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571304294<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVerifiable\n\t\t\t\tand Sovereignty-Aware Data Access for Digital Twins in Smart\n\t\t\t\tEnergy Communities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tC\u00e9dric\n\t\t\t\tKhafif<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:54\u201318:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571305985<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSensor-Calibrated\n\t\t\t\tEnergy Vulnerability Typologies for Household Energy Data<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLu\u00eds\n\t\t\t\tCatal\u00e3o<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t18:12\u201318:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306190<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJoint\n\t\t\t\tEvent Detection and Appliance Identification for Non-Intrusive\n\t\t\t\tLoad Monitoring<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tNuno\n\t\t\t\tFernandes<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201318:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t6C \u2013 Emergency Management & Urban Resilience<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:00\u201317:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294470<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tBeam-Regret Approach for Emergency Incident Allocation in Smart\n\t\t\t\tCities: A Case Study in Brazil<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tElivelton\n\t\t\t\tRangel<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:18\u201317:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294478<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSLA-Aware\n\t\t\t\tAmbulance Dispatch for Emergency Management Systems Under\n\t\t\t\tCapacity Constraints<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tElivelton\n\t\t\t\tRangel<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:36\u201317:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293539<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAn\n\t\t\t\tOpen Disaster Information Platform for Smart City Resilience:\n\t\t\t\tBIM\/GIS Integration in Complex Facilities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tChanghee\n\t\t\t\tHong<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t17:54\u201318:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571305972<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVision\n\t\t\t\tLanguage Models for Primary Structure Threat Identification in\n\t\t\t\tWildland Urban Interface Fires<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tZhangding\n\t\t\t\tLiu<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t18:12\u201318:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302858<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBeyond\n\t\t\t\tthe Pipe: A System-of-Systems Profile of NIST CSF 2.0 for\n\t\t\t\tResilient Urban Lifelines, Diagnosed Through ISO 31000<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJames\n\t\t\t\tImanian<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t19:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGala\n\t\t\t\tDinner & Awards Ceremony<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

<\/td>\n<\/tr>\n<\/tbody>\n
\n

\n\t\t\t\tDay\n\t\t\t\t4 \u2013 Friday, 30 October<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

\n

\n\t\t\t\t08:30\u201309:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRegistration\n\t\t\t\t& Check-in<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

\n

\n\t\t\t\t09:00\u201310:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tParallel\n\t\t\t\tSessions 7A, 7B, 7C, 7D<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

\n

\n\t\t\t\tTime<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

\n

\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:00\u201310:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t7A \u2013 Traffic Control & Autonomous Driving<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:00\u201309:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306147<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBandit-Based\n\t\t\t\tRide-Sharing Group Recommendation for Corporate Events<\/font><\/p>\n<\/td>\n

\n

\n\t\t\t\tRita\n\t\t\t\tLeite<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:18\u201309:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571299964<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoad\n\t\t\t\tclustering for smart mobility based on fundamental diagrams<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAram\n\t\t\t\tNasser<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:36\u201309:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571318071<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tDiscrete Temporal-Spatial Network Framework for Signal-Vehicle\n\t\t\t\tCoupled Control at Signalized Intersections<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCongjie\n\t\t\t\tZhou<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:54\u201310:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571318076<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEFR-DRL:\n\t\t\t\tEnhanced Feature Representation for Autonomous Vehicle\n\t\t\t\tDecision-Making at Unsignalized Intersections<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tShanke\n\t\t\t\tLi<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t10:12\u201310:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302943<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFairCrossLight:\n\t\t\t\tFairness-Aware Deep Reinforcement Learning for Traffic Light\n\t\t\t\tControl in Mixed Vehicle-VRU Environments<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJingwen\n\t\t\t\tYang<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:00\u201310:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t7B \u2013 Smart Water Systems<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:00\u201309:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571284941<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMapping\n\t\t\t\ta Non-Optically Active Nutrient: Machine Learning-Based\n\t\t\t\tEstimation of Total Phosphorus from Sentinel-2 in the Gulf of\n\t\t\t\tIzmir<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tNur\n\t\t\t\tYagmur Aydin<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:18\u201309:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571290781<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAquaCGBR:\n\t\t\t\tCalibrated Graph-Aware Ranking for Leak Detection and Predictive\n\t\t\t\tMaintenance in Urban Water Networks<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKabeh\n\t\t\t\tMohsenzadegan<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:36\u201309:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571300153<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDecentralized\n\t\t\t\tWater Quality Monitoring via TinyML Edge Intelligence and LoRa\n\t\t\t\tP2P Consensus for Smart Cities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tNicole\n\t\t\t\tLeyva<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:54\u201310:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294681<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFederated\n\t\t\t\tLearning under Unreliable Clients for Water Monitoring<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAmin\n\t\t\t\tAminifar<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t10:12\u201310:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303238<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tValidation Workflow for Integrating Global AI-Based Flood\n\t\t\t\tForecasts with Brazilian Stream Gauge Observations for Smart City\n\t\t\t\tWarning Systems<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAline\n\t\t\t\tFernandes Heleno<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:00\u201310:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t7C \u2013 LLMs & Agentic AI for Urban Services<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:00\u201309:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303426<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTrustworthy\n\t\t\t\tLLM Orchestration in Smart Cities: A Reference Architecture and\n\t\t\t\tFIWARE Realization<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVictor\n\t\t\t\tGomes<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:18\u201309:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303448<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAgentic\n\t\t\t\tLLM for Smart-City Data Platforms for Conversational Urban\n\t\t\t\tAnalytics<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGuilherme\n\t\t\t\tVieira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:36\u201309:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571290042<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tStructure\n\t\t\t\tand Schema: Diagnosing and Fixing Numerical Fidelity in LLM\n\t\t\t\tMulti-Agent Retail Analytics<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKoh\n\t\t\t\tShinoda<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:54\u201310:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571305797<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCitya:\n\t\t\t\tAn AI Assistant for Smart City Governance<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAqila\n\t\t\t\tAtaa<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:00\u201310:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t7D \u2013 Urban Governance, Policy & Resilient Ecosystems<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:00\u201309:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306137<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFrom\n\t\t\t\tOperational Efficiency to Governance Intelligence: A\n\t\t\t\tTerritory-as-a-Platform Model for Scalable Evidence-Based\n\t\t\t\tPolicymaking<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMiguel\n\t\t\t\tde Castro Neto<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:18\u201309:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293655<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tScale-Dependent\n\t\t\t\tLED Transition in Small Municipalities: A System Dynamics\n\t\t\t\tApproach to Procurement Barriers and Smart City Readiness<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDavid\n\t\t\t\tFarf\u00e1n-Guill\u00e9n<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:36\u201309:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571282227<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTowards\n\t\t\t\tthe ReDecentralisation of Smart Cities: A Strategic Vision for\n\t\t\t\tResilient Urban Ecosystems<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRafael\n\t\t\t\tFrantz<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09:54\u201310:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294545<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tData-Driven Assessment of the Web Cyber-Attack Surface. The case\n\t\t\t\tstudy of the Livorno Maritime-Logistic Ecosystem<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGianluca\n\t\t\t\tDini<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t10:12\u201310:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302126<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSouvereign\n\t\t\t\tSmart Cities and Communities: Technical Safeguards and Measures\n\t\t\t\tfor Data Sovereignty for Public Institutions in the EU<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tNikolay\n\t\t\t\tTcholtchev<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t10:30\u201311:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCoffee\n\t\t\t\tBreak \u00b7 Poster Session PS3-M \u2013 Health, Wellbeing & Smart\n\t\t\t\tEducation (9 posters)<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tBoard<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t01<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571295588<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEdge-AI\n\t\t\t\tAutomation of Blood Typing and RPR Tests for Smart Point-of-Care\n\t\t\t\tDiagnostics<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tBruno\n\t\t\t\tSilva<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t02<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571295609<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tGender\n\t\t\t\tDifferences in Heel-Rise Test Intensity Rather Than Endurance: An\n\t\t\t\tAccelerometer-Based Analysis<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJoel\n\t\t\t\tCaetano<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t03<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571300230<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMulti-Metric\n\t\t\t\tEvaluation of Optical Path Length Effects in FTIR Blood Spectra\n\t\t\t\tfor Smart Health Monitoring: A Preliminary Methodological Study<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAhmed\n\t\t\t\tEltayeb Ahmed Fadlelmoula<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t04<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571301850<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDynamic\n\t\t\t\tRisk Engine for Digital Health Care Services in Sejong Smart City<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJunghee\n\t\t\t\tHan<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t05<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571305761<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tReal-Time IoT-Based Child Safety and Wellbeing Monitoring System\n\t\t\t\tfor Smart Childcare Centers<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSteven\n\t\t\t\tSantillan<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t06<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571293781<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tHow\n\t\t\t\tSeoul Evolves in the Era of Physical AI: A Comparative\n\t\t\t\tSociotechnical Analysis of Historical Transitions and Strategic\n\t\t\t\tDirections for a Robot-Coexisting City<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSeunghoon\n\t\t\t\tLee<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t07<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303456<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tCoevolutionary Smart Education Framework<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCarla\n\t\t\t\tAmor Divino Moreira Delgado<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t08<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571306210<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEmerging\n\t\t\t\tAI Approaches in Educational Recommender Systems for Higher\n\t\t\t\tEducation<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMarzie\n\t\t\t\tSadat Kasaii<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303369<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tStudent\n\t\t\t\tRisk Prediction in Higher Education Using Multi-Paradigm Machine\n\t\t\t\tLearning and Visual Evaluation<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAhmed\n\t\t\t\tSedik<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t11:00\u201312:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKeynote:\n\t\t\t\t"AIDC and its Economic, Socio, Environmental impact on Smart\n\t\t\t\tCity" \u00b7 Panel: "Smart and Sustainable Campus"<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t12:30\u201314:00<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLunch<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201315:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tParallel\n\t\t\t\tSessions 8A, 8B, 8C, 8D<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tTime<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201315:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t8A \u2013 Perception & Computer Vision for Road Traffic<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201314:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571298559<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRobustness\n\t\t\t\tEvaluation of Vision-Based Perception Models for Smart City\n\t\t\t\tEnvironments<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tThabet\n\t\t\t\tKacem<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:18\u201314:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303098<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDifferentiable\n\t\t\t\tOptimization of Infrastructure-based LiDAR Deployment<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKaleem\n\t\t\t\tUllah<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:36\u201314:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302867<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tProactive\n\t\t\t\tCloned-Vehicle Detection Using a Multimodal Pipeline for Smart\n\t\t\t\tUrban Monitoring: a prototype applied in Salvador, Brazil<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVerg\u00edlio\n\t\t\t\tVal\u00e9rio dos Santos<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:54\u201315:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tA<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571297727<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAdaptive\n\t\t\t\tLearning under Data Drift for Smart Mobility Monitoring in\n\t\t\t\tLarge-Scale LPR Streams<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDaniel\n\t\t\t\tFilho<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201315:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t8B \u2013 Digital Twins, 3D & Remote Sensing<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201314:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293952<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAn\n\t\t\t\tOpen-Source Data Infrastructure for an Urban Climate Twin:\n\t\t\t\tArchitecture, Data Pipelines, and Integration of Heterogeneous\n\t\t\t\tEnvironmental Data<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJulia\n\t\t\t\tSollmann<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:18\u201314:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306328<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEstimating\n\t\t\t\tVisual Exposure of Urban Objects from Pedestrian Movement Data in\n\t\t\t\ta Digital Twin<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRin\n\t\t\t\tSakamoto<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:36\u201314:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571297809<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tDeployable Architecture for Real-Time 3D Interaction in Smart\n\t\t\t\tHome Platforms<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tHenoch\n\t\t\t\tVitureira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:54\u201315:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571293352<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tComparative\n\t\t\t\tAnalysis of Unmanned Aerial Vehicle Path Planning Performance\n\t\t\t\tUsing Adaptive-Resolution Voxel Maps<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKihoon\n\t\t\t\tLee<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:12\u201315:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tB<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571301395<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMultimodal\n\t\t\t\tLLMs for Zero-Shot Pavement Condition Rating: Model Upgrades vs.\n\t\t\t\tAgents<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPedro\n\t\t\t\tMarcelino<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201315:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t8C \u2013 IoT Architectures, QoS & Trusted Integration<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201314:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571294743<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCalico:\n\t\t\t\tA Reinforcement Learning Strategy for QoE-Aware Smart City\n\t\t\t\tArchitectures<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLucas\n\t\t\t\tAlmeida<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:18\u201314:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571306149<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tReinforcement\n\t\t\t\tLearning-Based Dynamic Sensor Reselection for SLA Compliance in\n\t\t\t\tIoT Systems<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJulio\n\t\t\t\tEstrella<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:36\u201314:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302758<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLightweight\n\t\t\t\tEdge Deployment Using Symbolic Regression-Based Dynamic Decision\n\t\t\t\tTree Ensembles in Smart Buildings<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFatimah\n\t\t\t\tFaiza Farrukh<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:54\u201315:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tC<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571301794<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tiDevS:\n\t\t\t\tA Domain-Specific API for Integration Processes in Trusted\n\t\t\t\tExecution Environments<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRegis\n\t\t\t\tRodolfo Schuch<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201315:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSession\n\t\t\t\t8D \u2013 Inclusive, Accessible & Safe Cities<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:00\u201314:18<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302910<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAccessibility\n\t\t\t\tConsiderations in City Dashboard Development: A Scoping Review<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tSilvino\n\t\t\t\tGustavo Albuquerque de Medeiros<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:18\u201314:36<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571292638<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tEnabling\n\t\t\t\tInclusive Smart Residential Communities: A Service Integration\n\t\t\t\tPlatform Approach<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJee-Eun\n\t\t\t\tKim<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:36\u201314:54<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571300834<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tDevelopment\n\t\t\t\tof a Wearable Assistive Navigation System for People with Visual\n\t\t\t\tImpairment<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJo\u00e3o\n\t\t\t\tCarlos Bittencourt<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t14:54\u201315:12<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571303402<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCollaborative\n\t\t\t\tMapping for Intelligent Wheelchairs in Smart Healthcare<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMariam\n\t\t\t\tAfonso<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:12\u201315:30<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRoom\n\t\t\t\tD<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t1571302604<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAmparo\n\t\t\t\tMaria: A Multimodal RAG Architecture for Proactive Detection of\n\t\t\t\tAggression Against Women<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRaoni\n\t\t\t\tKulesza<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t15:30\u201316:00<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCoffee\n\t\t\t\tBreak \u00b7 Poster Session PS3-A \u2013 AI, Data & Urban Services\n\t\t\t\t(9 posters)<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\tBoard<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\tPaper\n\t\t\t\tID<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTitle<\/b><\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFirst\n\t\t\t\tauthor<\/b><\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t01A<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571278792<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tExperimental\n\t\t\t\tPerformance Evaluation of IS-IS and OSPFv3 in IPv6 Backbone\n\t\t\t\tNetworks<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tAlexandra\n\t\t\t\tVaca<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t02<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303422<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tVision-Based\n\t\t\t\tPuddle Segmentation Using Convolutional Neural Networks for\n\t\t\t\tDengue Risk Monitoring<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tLarissa\n\t\t\t\tRocha<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t03<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571293953<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTool-Augmented\n\t\t\t\tLLM Agents for Cross-Database Natural-Language Retail Analytics:\n\t\t\t\tA Case Study on Grocery-Drugstore Transactions<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTatsuya\n\t\t\t\tIshizuka<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t04<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571294101<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tTool-augmented\n\t\t\t\tLLM reasoning over Smart City IoT data with real-time linked data\n\t\t\t\tand Smart Data Models<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tRui\n\t\t\t\tHumberto Pereira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t05<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303161<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tNeuro-Symbolic Framework for Geographic Entity Resolution in\n\t\t\t\tSmart Cities<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tJo\n\t\t\t\tLima<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t06<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571300429<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tSafety-aware Corrective RAG for Communicating Probabilistic\n\t\t\t\tIncident Forecasts<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tYara\n\t\t\t\tAbouelenin<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t07<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571293128<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tA\n\t\t\t\tContext-Aware Recommender System for Smart Environments<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tMayki\n\t\t\t\tSantos Oliveira<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t08<\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571293502<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tPerformance\n\t\t\t\tEvaluation on Set Operations between 3D Objects and Voxelized 3D\n\t\t\t\tObjects<\/font><\/p>\n<\/td>\n

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\n\t\t\t\tKwangsoo\n\t\t\t\tKim<\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t09<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571305966<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tCitizen\n\t\t\t\tExpectations for User-Centric AI-Enabled Municipal Services that\n\t\t\t\tPromote Awareness, Usability, and Adoption<\/font><\/font><\/p>\n<\/td>\n

\n

\n\t\t\t\tChandramohan\n\t\t\t\tAisvaran<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t01B<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\t<\/p>\n<\/td>\n

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\n\t\t\t\t1571303360<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tStable\n\t\t\t\tHybrid Cross-Attention Fusion for Audio-Visual Event Recognition<\/font><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tParinaz\n\t\t\t\tBinandeh Dehaghani<\/font><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t16:00\u201316:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tClose\n\t\t\t\tSession<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n

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\n\t\t\t\t16:30\u201317:30<\/b><\/font><\/p>\n<\/td>\n

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\n\t\t\t\tFarewell<\/b><\/font><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<\/div>\n\n\n\n

\n
\n

Registrations<\/p>\n\n\n\n

Registrations are open<\/span><\/strong><\/strong>
Register Now!<\/a><\/strong><\/strong><\/p>\n\n\n\n

Important Dates<\/p>\n\n\n\n

Presentations and Posters Submissions<\/strong><\/strong>
Please see instructions<\/a>
Upload to EDAS: 22 October 2026<\/strong><\/p>\n\n\n\n

Camera-ready Submission Instructions<\/a><\/strong><\/strong><\/p>\n\n\n\n

Conference Dates<\/p>\n\n\n\n

27 – 30 October 2026<\/strong><\/p>\n\n\n\n

Programme Now Live \u2013 Explore It!<\/a><\/strong><\/strong><\/p>\n\n\n\n

IEEE Smart Cities Contest<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

Help Us Disseminate<\/p>\n\n\n\n

\"Click<\/a><\/figure>\n\n\n\n

Flyer\/Poster <\/strong>\u2014 Download flyer\/poster (PDF)<\/a>
Download the flyer as a PDF for printing and paper distribution.<\/em><\/span><\/p>\n\n\n\n

Call for Workshop Papers<\/strong> \u2014 Download call for workshop papers (RTF)<\/a>
Download the RTF version for easy copy\u2011and\u2011paste into email messages.<\/em><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Conference Programme Programme at a Glance Day 1 – 27 Oct Day 2 – 28 Oct Day 3 – 29 Oct Day 4 – 30 Oct 8:30 9:00 Registration & Check-in Registration & Check-in Registration & Check-in Registration & Check-in 9:00 9:30 Workshops & Tutorials Opening Session Parallel Sessions 7A–7D 7A Traffic Control & Autonomous […]<\/p>\n","protected":false},"author":156,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-no-title","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-469","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/dei.fe.up.pt\/ieee-isc2-2026\/wp-json\/wp\/v2\/pages\/469","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dei.fe.up.pt\/ieee-isc2-2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dei.fe.up.pt\/ieee-isc2-2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dei.fe.up.pt\/ieee-isc2-2026\/wp-json\/wp\/v2\/users\/156"}],"replies":[{"embeddable":true,"href":"https:\/\/dei.fe.up.pt\/ieee-isc2-2026\/wp-json\/wp\/v2\/comments?post=469"}],"version-history":[{"count":102,"href":"https:\/\/dei.fe.up.pt\/ieee-isc2-2026\/wp-json\/wp\/v2\/pages\/469\/revisions"}],"predecessor-version":[{"id":734,"href":"https:\/\/dei.fe.up.pt\/ieee-isc2-2026\/wp-json\/wp\/v2\/pages\/469\/revisions\/734"}],"wp:attachment":[{"href":"https:\/\/dei.fe.up.pt\/ieee-isc2-2026\/wp-json\/wp\/v2\/media?parent=469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}