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Conference Schedule

Dates July 15–16, 2026
Venue Seoul AI Hub, 3F

Day 1— July 15

Morning session (9:20–12:00) is invitation only.

  1. 9:20–9:30
    Invitation Only

    Opening Remarks

    Jinhong Huh · GS E&C

  2. 9:30–10:10
    Keynote Invitation Only

    AI of Cities, Cities of AI: Building the Next Generation of Urban Intelligence

    Yoonjin Yoon · KAIST

  3. 10:20–10:40
    Invitation Only

    GS E&C Introduction

    Hyojun Kim · GS E&C

  4. 10:40–12:00
    Session 1 · CAUS Invitation Only

    Chair: Yoonjin Yoon (KAIST)

    • Socially Consistent Multi-Robot Navigation and ControlMatthew Sato · Stanford University
    • Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement LearningKanghoon Lee · KAIST
    • A Web-based Interactive Decision Support System for LLM-Guided Traffic Simulation in Urban EnvironmentsMinwoo Jeong · KAIST
    • Benchmarking LLM Comprehension of SUMO Simulation FilesJeeyun Chang · KAIST
  5. 13:00–13:40
    Tutorial 1

    Science Storytelling

    Fabio Duarte · MIT

  6. 13:50–14:30
    Tutorial 2

    Time Series Representation Learning: Concepts, Methods, and Applications

    Namwoo Kim · KAIST

  7. 14:40–16:00
    Session 2 · CAUS

    Chair: Changhyun Kwon (KAIST)

    • SPATIALQA: Spatial-Semantic Grounding for Question Answering in Ambient Sensor SpacesLucas Liebe · KAIST
    • RAG-Grounded Vision-Language Navigation: A Benchmark for Knowledge Reasoning from Human DialogueMinjun Kang · KAIST
    • Urban Accessibility Analytics via LLM-MCP: Service-Aware Metric Recommendation and GIS ExecutionKeonhee Jang · KAIST
    • UAM Simulator: On-Demand and Scheduled Fleet Operations under Resource ConstraintsBui, Thi Thao Vy · KAIST
  8. 16:00–16:10

    Award Ceremony & Closing Remarks

    Yoonjin Yoon · KAIST, GS E&C

Day 2— July 16

  1. 9:30–9:40

    Opening Remarks

    Yoonjin Yoon · KAIST

  2. 9:40–11:00
    General Session

    Chair: Kincho Law (Stanford)

    • Explainable Modeling of Neighborhood Economic Responses to Extreme Heat: Evidence from SeoulKeonhee Jang · KAIST
    • A Generative Agent-Based Model of Youth Migration Intentions in BusanJiyoung Baek · KAIST
    • Human-Centered Privacy for Cognitive Cities: A DIKW-Aligned Framework for Urban Data PipelinesDonghyun Yoon · Hyundai AutoEver
    • Learning Urban Access Costs from Origin–Destination Flows via Inverse Optimal TransportPaula Joy B. Martinez · Education Center for AI Research
  3. 11:10–11:50
    Tutorial 3

    Power Infrastructure for Future Cities: How Energy Transition and AI Are Reshaping Urban Planning

    Chaeyoon Bae · LS Electric

  4. 13:00–13:40
    Tutorial 4

    Seoul World Model: Grounding World Simulation Models in a Real-World Metropolis

    Seungryong Kim · KAIST

  5. 13:50–15:30
    BrainPool Session

    Chair: Namwoo Kim (KAIST)

    • Opening the Black Box of Urban-Regional Entrepreneurial EcosystemsEsther Sekyoung Choi · World Resources Institute
    • Why Communities Say No: An LLM Framework for Mapping Local Acceptance of Renewable Energy InfrastructureChaerim Song, Hayoon Song · KAIST
    • A Modeling and Optimization Framework for AAM Corridor Network Design with Geometry-Based DeconflictionJihye Na · KAIST
    • Estimating the Spatial Distribution of Public Adoption Propensity of AAMSungmin Sohn · KAIST
    • Temporal Vision-Language Reward Modeling for Complex TasksKwangbin Lee · KAIST
  6. 15:30–15:40

    Closing Remarks

    Yoonjin Yoon · KAIST