09:00-09:45 |
Registration |
09:45-10:00 |
Opening Remarks |
10:00-11:00 |
Keynote Talk #1 - Engineering the Digital Twin Society: Harnessing Spatiotemporal Data through AIProf. Hirozumi Yamaguchi (Osaka University)Session Chair: Hamada Rizk, Osaka University, Japan |
11:00-11:20 |
Coffee Break |
11:20-11:55 |
Session 1 - Spatial and Spatio-temporal Data and Language ModelsSession Chair: Kyoungsook Kim, AIST, Japan |
SNC: A Framework for Verification and Generation of Spatial NLQ Corpora
Weijia Yi (Nanjing University of Aeronautics and Astronautics); Xieyang Wang (Nanjing University of Aeronautics and Astronautics); Mengyi Liu (Nanjing University of Aeronautics and Astronautics); Jianqiu Xu (Nanjing University of Aeronautics and Astronautics) - LONG
Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models
Panos Kalnis (King Abdullah University of Science and Technology); Shuo Shang (University of Electronic Science and Technology of China); Christian Jensen (Aalborg University) - SHORT
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11:55-12:45 |
Session 2 - Data Mining and ForecastingSession Chair: Panos Kalnis, KAUST, Saudi Arabia |
Multivariate Tests for Point and Probabilistic Forecasts, with an Application to Spatio-temporal Weather Forecast Evaluation
Annette Jing (Stanford University); Phillip Jang (Amazon) - LONG
Distributed Community Detection in Temporal Graphs
Konstantinos Christopoulos (University of Patras); Konstantinos Tsichlas (University of Patras) - SHORT
Discovering Super-Colocation Patterns: A Summary of Results
Shuai An (University of Minnesota); Shesha Sai Kumar Reddy Sadu (University of Minnesota); Arun Sharma (University of Minnesota); Majid Farhadloo (University of Minnesota); Shashi Shekhar (University of Minnesota) - SHORT
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12:45-13:45 |
Lunch Break |
13:45-15:10 |
Tutorial 1 - Spatial Regionalization: Algorithms and Challenges
Amr Magdy (University of California, Riverside)*; Yongyi Liu (University of California, Riverside)
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15:10-16:10 |
Session 3 - Maritime DataSession Chair: Chiara Pugliese, IIT-CNR, Italy |
A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction
Haomin Yu (Aalborg University); Tianyi Li (Aalborg University); Kristian Torp (Aalborg University); Christian S. Jensen (Aalborg University) - LONG
Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences
Md Mahbub Alam (Dalhousie University); José F. Rodrigues-Jr (University of Sao Paulo); Amilcar Soares-Jr (Linnaeus University); Gabriel Spadon (Dalhousie University) - LONG
ImPORTance - Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency
Emanuele Carlini (ISTI/CNR); Domenico Di Gangi (ISTI/CNR); Vinicius Monteiro de Lira (UFC); Hanna Kavalionak (ISTI/CNR); Amilcar Soares (Linnaeus University); Gabriel Spadon (Dalhousie University) - LONG
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16:10-16:30 |
Coffee Break |
16:30-17:55 |
Tutorial 2 -
Heterogeneity in Multivariate Time Series: Comprehensive Analysis and Adaptive Modeling
Zezhi Shao (Institute of Computing Technology, Chinese Academy of Sciences)*; Chengqing Yu (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Fei Wang (Institute of Computing Technology, Chinese Academy of Sciences)
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18:30-21:00 |
Welcome Reception: Light food & drinks, networking at BOOCHiC
Address: 2/F, Daibiru Main Building, 3 Chome-6-32 Nakanoshima, Kita Ward, Osaka, 530-0005, Japan (5-minute walk from the conference venue)
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