The Hong Kong University of Science and Technology

International Workshop on Digital Twin and AIEmpowered Emergency Risk Management

7-8 Aug 2026, Hong Kong

≡Sessions for the Workshop 2026

SS1: Digital twin modeling

SS2: Geospatial big data analytics for disaster risk reduction

SS3: AI-driven risk analysis, forecasting, and early warning

SS4: Remote sensing and IoT for real-time monitoring

SS5: Urban resilience and infrastructure risk management

SS6: Societal response monitoring and analysis

SS7: Emergency management technologies

≡Programme

Conference Program

7 August 2026, Friday

Opening Ceremony Lecture Theatre C

MC: Yu Wang (HKUST)

Welcome Speeches
Raymond Cheung (Geotechnical Engineering Office, CEDD, HKSARG)
Zhongqiang Liu (ISSMGE TC309 on Machine Learning)
Limin Zhang (HKUST)
Group Photo Taking
Keynote Lectures Lecture Theatre C

Co-Chairs: Limin Zhang (HKUST), Bo Huang (HKU)

Generative Digital Base for Infrastructure and its Applications
Hehua Zhu (Tongji University)
Transforming Landslide Emergency Lifecycle Management with Smart Geotechnology
Lawrence Shum (Geotechnical Engineering Office, CEDD, HKSARG)
Data Driven Disaster Preparedness - The Role of Monitoring and Digital Twinning
Kenichi Soga (University of California, Berkeley)
Coffee Break (Lecture Theatre C)
Keynote Lectures Lecture Theatre C

Co-Chairs: Jinhui Li (Harbin Institute of Technology (Shenzhen)), Yu Wang (HKUST)

Modelling Complex Landslide Dynamics: Integrating Physics-Based and Data-Driven Approaches
Zhongqiang Liu (Norwegian Geotechnical Institute)
AI-Empowered Digital Twin for Resilient Smart Cities, Infrastructure and Buildings
Jack Chin Pang Cheng (HKUST)
Satellite Image Fusion for Landslide Monitoring
Bo Huang (HKU)
Lunch & Break (Lecture Theatre C)
Keynote Lectures Lecture Theatre C

Co-Chairs: Fang Yang (Pearl River Water Resources Research Institute), Qiuchen Lu (University College London)

Key Technologies for Dam Breaching Flood Forecasting and Risk Management
Fang Yang (Pearl River Water Resources Research Institute)
Urban Resilience with Risk-Informed OM and Data-Driven EWS
Suzanne Lacasse (Norwegian Geotechnical Institute)
Knowledge-Enhanced LLM for Urban Waterlogging
Jinhui Li (Harbin Institute of Technology (Shenzhen))
Seismic Landslide Analyses: from Physics-Based Simulation to Machine Learning
Gang Wang (HKUST)
Coffee Break (Lecture Theatre C)
Keynote Lectures Lecture Theatre C

Co-Chairs: Zhongqiang Liu (Norwegian Geotechnical Institute), Gang Wang (HKUST)

Towards Resilient Cities through Digital Coupled Human, nAture and INfrastructure Systems (CHAINS)
Qiuchen Lu (University College London)
Transforming Regional Landslide Risk Control Using Modern AI Techniques
Te Xiao (Shanghai Jiao Tong University)
Traffic Image-Based Quantitative Waterlogging Depth Measurement for Flood Detection and Rapid Prediction
Ping Shen (University of Macau)
Conference Banquet (HKUST China Garden Restaurant, G/F)

8 August 2026, Saturday

Parallel Sessions 1 & 2
Parallel Session 1: Room 2128A, Chair: Ping Shen (University of Macau)
Parallel Session 2: Room 2129A, Chair: Te Xiao (Shanghai Jiao Tong University)
Coffee Break (Lecture Theatre C)
Keynote Lectures Lecture Theatre C

Co-Chairs: Johnny Cheuk (AECOM Asia Co. Ltd.), Liang Gao (University of Macau)

Beyond Monitoring: Predictive Engineering Through Digital Twins and AI
Ryan Yan (AECOM Asia Company Limited)
Numerical Simulation and Dynamic Visualization of Urban Flooding Processes
Liang Gao (University of Macau)
Probabilistic Hazard Analysis of Rainfall-Induced Landslides at a Specific Slope under Climate Change
Yu Wang (HKUST)
Digital Twin Empowered Landslide and Flood Risk Management
Limin Zhang (HKUST)
Closing Remarks
Bo Huang (HKU)
Lunch & Break (Lecture Theatre C)
Site Visit