Integrating Artificial Intelligence and Geospatial Intelligence: Innovative Methods and Applications in Human Mobility Modeling
Tuesday, 18 November 2025 (UTC+10)
Star, Broadbeach, Gold Coast, Australia
Workshop Scope & Topics
This half-day workshop aims to bring together researchers and practitioners to advance the modeling, mining, and simulation of human mobility for intelligent transportation systems and urban analytics. As the Internet of Things and smart city infrastructure produce massive, multi-modal mobility datasets, there is both an opportunity and a responsibility: to build scalable, transferable, and privacy-aware models that capture the dynamics of human movement across time, space, and social interaction.
We will explore AI-empowered and data-driven methods for modeling human mobility and travel behavior, focusing on how mobility behaviors influence and be influenced by transportation systems. This workshop will examine techniques spanning different levels of resolution—from coarse-grained trip and flow modeling to fine-grained activity chains, trajectories, and agent interactions—supporting diverse applications in planning and operations, such as demand forecasting, policy evaluation, infrastructure planning, anomaly detection, and traffic simulation.
This workshop connects the AI, transportation, and geospatial communities to accelerate the development of actionable tools for understanding and simulating human mobility at scale. It invites contributions that address the challenges and opportunities in data fusion, behavioral modeling, real-time analytics, and system-level decision support.
Topics of interest include, but are not limited to:
- Mobility pattern recognition and travel behavior modeling
- Cross-domain multi-modal mobility data fusion
- Scalable mobility data mining and enrichment
- Modeling and synthesizing normal and atypical mobility
- Transportation-focused applications of human mobility modeling, including simulation, policy evaluation, and system optimization
- LLMs and foundation models for mobility analysis
Keynote Speakers
We are pleased to announce four distinguished keynote speakers who are leading experts in AI, geospatial intelligence, and human mobility modeling. Their presentations will provide insights into the latest research developments and future directions in these rapidly evolving fields.
Dr. Meead Saberi
Associate Professor
University of New South Wales
Dr. Meead Saberi is an Associate Professor in the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), Sydney, Australia. He holds a PhD in Transportation Systems Analysis and Planning from Northwestern University. His research focuses on transportation network modeling and the use of emerging data sources to understand network-level mobility patterns, with a particular emphasis on active and sustainable transport.
Dr. Khurram Shafique
President
Novateur Research Solutions
Dr. Khurram Shafique is a leading expert in artificial intelligence, computer vision, and geospatial analytics, with over 25 years of experience at the intersection of applied research and operational technology development. He serves as the President of Novateur Research Solutions, where he leads the design and deployment of AI-enabled systems for large-scale, data-intensive applications in geospatial intelligence, mobility analysis, and complex sensor environments.
Dr. Shafique has led numerous research and development programs addressing complex challenges in machine learning, sensor data analysis, automated pattern recognition, and large-scale geospatial modeling. His work has involved leading multidisciplinary teams in the development of adaptive, context-aware technologies designed to process and interpret multimodal spatiotemporal data at scale.
Dr. Shafique's work has been published in leading journals and conferences spanning machine learning, computer vision, geospatial intelligence, and applied mathematics. His work has received multiple recognitions, including the Best Student Paper Award at IEEE MDM 2025, the Best Vision Paper Award at ACM SIGSPATIAL 2023, and an IBM Best Paper Award nomination at the ACM Multimedia Conference. A sustained focus of his research is anomaly detection in human mobility, particularly the development of techniques for identifying deviations in large-scale geospatial datasets. He is also a Founding Chair of the GeoAnomalies Workshop, organized in conjunction with ACM SIGSPATIAL.
Dr. Shafique earned his Ph.D. in Computer Science from the University of Central Florida in 2004.
Dr. Yaoyi Chiang
Associate Professor
University of Minnesota
Dr. Yao-Yi Chiang is an Associate Professor in the Department of Computer Science & Engineering at the University of Minnesota. Dr. Chiang's research interests are in spatial artificial intelligence. His work focuses on developing innovative AI methods to decode the complex interplay between environmental systems and human activity—often using sparse, uneven, and multi-scale spatiotemporal data. Dr. Chiang's research has received support from leading federal agencies such as NSF, NEH, NIH, DARPA, IARPA, and NGA, as well as industry leaders including NTT Global Networks and BAE Systems. He has served as a visiting researcher at Google AI, a machine learning consultant at Meta, and the Chief Scientist at AirMap, a pioneer in drone airspace management. Dr. Chiang founded the Kartta Foundation, a nonprofit organization dedicated to assembling and refining geographic data for the public good. The foundation now manages Kartta Labs, originally launched at Google.
Dr. Ryan Qi Wang
Associate Professor
Northeastern University
Dr. Ryan Qi Wang is an Associate Professor and Vice Chair for Research in the Department of Civil and Environmental Engineering at Northeastern University. Before joining Northeastern, Wang was a postdoc fellow at the Department of Sociology, Harvard University. He received his Ph.D. degree from the Department of Civil and Environmental Engineering at Virginia Tech. His research focuses on two interrelated areas: human movement perturbation under the influence of natural and manmade disasters, and mobility equality in big cities.
His research has been published in Nature Computational Science, Nature Human Behavior, Proceedings of National Academy of Sciences (PNAS), etc. His research group has received funding support from NSF, NIST, IARPA, MacArthur Foundation, USDOT, and other foundations and local government agencies.
Preliminary Agenda
Half-day workshop schedule
| Time | Activity / Topic |
|---|---|
| 08:30 – 08:40 | Welcome and Introduction |
| 08:40 – 9:20 | Talk 1 |
| 09:20 – 10:00 | Talk 2 |
| 10:00 – 10:10 | Lighting Talk 1 |
| 10:10 – 10:20 | Lighting Talk 2 |
| 10:20 – 10:50 | Refreshments Break |
| 10:50 – 11:30 | Talk 3 |
| 11:30 – 12:10 | Talk 4 |
| 12:10 – 12:20 | Lighting Talk 3 |
| 12:20 – 12:30 | Lighting Talk 4 |
Organizing Committee
The workshop is organized by a distinguished committee of researchers with expertise spanning artificial intelligence, geospatial intelligence, and human mobility modeling.
Xishun Liao
Research Scientist
University of California, Los Angeles
Yifan Liu
Ph.D. Student
University of California, Los Angeles
Haoxuan Ma
Ph.D. Student
University of California, Los Angeles
Yuan Liao
Postdoctoral Research Fellow
Chalmers University of Technology
Shangqing Cao
Ph.D. Student
University of California, Berkeley
Yueshuai He
Assistant Professor
University of Louisville
Marta Gonzalez
Associate Professor
University of California, Berkeley
Jiaqi Ma
Professor
University of California, Los Angeles
Sponsors
We gratefully acknowledge the support of our sponsors who make this workshop possible.
Mobility COE
NSF
National Science Foundation