Dr. Qiumeng Li is currently an Assistant Professor at the Urban Governance and Design (UGOD) Thrust, The Hong Kong University of Science and Technology (Guangzhou). Her research fields are mobility and urban computing, including spatiotemporal data mining, shared mobility analysis, built environment perception, geospatial inference, urban intelligent models, and AI agents for urban mobility and planning.

Education

• Ph.D. in Land Economy(Urban Computing), University of Cambridge (2024)
• Master of Urban Planning, Tsinghua University (2019)
• Bachelor of Urban Planning, Sun Yat-Sen University (2017)

Ongoing and future work

• The Interaction between Urban Mobility and Built Environment
  • Urban visual intelligence in built environment perception
  • Agent-environment interaction simulation of mobility behaviour based on agent-based model, reinforcement learning and other AI techniques
• Big Data Mining for Mobility Behaviour
  • Spatio-temporal trajectory and travel behaviour analysis, prediction and generation (especially for shared mobility)
• Sustainable and Healthy Cities
  • Urban health, emergency preparedness and response
  • Generative AI for urban mobility and planning

Position Overview

• Long-term openings for RA and PhD positions. I am looking for highly motivated students to join my team.

• PhD students will be admitted in January and September each year. Please refer to the official guidelines for more details.
• Undergraduate students are encouraged to apply for the RedBird MPhil of HKUST-gz.
• Postdoc positions will open in 2025. Very competitive salary and research fund package. Welcome to drop your resume and research proposal.