👤 About Me
My name is Hangli Ge (葛杭丽 | 葛杭麗). I am currently a Project Associate Professor at the University of Tokyo. My research topics include ubiquitous computing, IoT, signal processing, spatio-temporal big data, knowledge graph, especially in the fields of smart city, traffic optimization, urban resillience, etc. I also have R&D experience in the telecommunication industry.
🎓 Phd of Information studies, Interdisciplinary Information studies, The University of Tokyo in 2019
5-years Graduate Program for Social ICT Global Creative Leaders, The University of Tokyo in 2019
📍 Current Affiliation: Interfaculty Initiative in Information Studies, The University of Tokyo
📚 Research Topics
I am mainly specializing in the following research areas:
🔬 Research Topics
✨ Topic 1: Cyber-Physical Big-Data-Driven Traffic & Mobility Systems
Integrating heterogeneous cyber-physical big data, from physical-world sensor observations (e.g., traffic, human mobility, and weather) to cyberspace data (e.g., reservation records, route/POI search records, and event calendars), for traffic and mobility prediction, congestion forecasting, demand estimation, and proactive optimization. The goal is to transform urban mobility management from reactive responses to predictive and proactive decision-making.
Cyber-Physical Data → Prediction → Proactive Decision-Making
✨ Topic 2: Complex Dynamic Systems for Urban Resilience
Modeling cities as complex adaptive systems using computational approaches such as agent-based modeling and digital twins to analyze urban dynamics, assess resilience, and simulate responses to disruptions. The goal is to support robust urban planning, risk management, and resilient decision-making under uncertainty.
Urban Dynamics → Simulation → Resilience
✨ Topic 3: Next-Generation Computing for Large-Scale Optimization
Exploring next-generation computing paradigms, including quantum and hybrid computing, to address the computational performance and scalability challenges of large-scale optimization. The research focuses on graph-structured and high-dimensional optimization problems arising in mobility, logistics, control systems, and operations research, aiming to achieve faster, more scalable, and computationally efficient solutions.
Large-Scale Problems → Next-Generation Computing → Scalable Optimization
🔹 Grants & Funding (External)
| Grant Name | Duration | Responsibility |
|---|---|---|
| Early-Career Researcher Scientists, Grants-in-Aid for Scientific Research (JSPS KAKENHI) | 2025.04. - 2028.03. | Principal Investigator |
| Foundation for the Promotion of Electrical Communication(電気通信普及財団) - Research Grant | 2025.05. - 2028.03. | Principal Investigator |
| Shinohara Foundation Research Grant(篠原財団) - Research Grant | 2025.05. - 2026.03. | Co-Investigator |
🧭 Main Activities
- Associate Editor, IEEE Internet of Things Journal
- Editor, KSII Transactions on Internet and Information Systems
🪪 Memberships｜学会所属
- Senior Member, IEEE (Institute of Electrical and Electronics Engineers)
- Member, ACM (Association for Computing Machinery)
- Member, 情報処理学会 Information Processing Society of Japan (IPSJ)
- Member, 交通工学研究会 The Japan Society of Traffic Engineers (JSTE)
- Member, 土木学会 Japan Society of Civil Engineers (JSCE)
🚀 Last updated: [2026/08/02]