Students
PhD students
Current
- Changyu Han (UZH)
- PhD student, 2022.02-present
- “Modeling Restorative Places from Daily Mobility Data to Explore Functions of Healthy Aging” (working title)
- Lanxi Liu (CAU)
- PhD student, 2025.09-present
- Not decided yet
Visiting PhD students
2023
- Guojian Zou
- Visiting PhD student from Tongji University, China. 2023.11-present
- “Research on Key Algorithms of Deep Learning for Smart Transport Network Operation Status”
- Jingyi Zhou
- Visiting PhD student from Nanjing Normal University, China. 2023.2-2023.12
- “Research on generalization method of indoor emergency navigation path considering landmark cognition”
2022
- Jing He
- Visiting PhD student from Wuhan University, China. 2021.11-2022.10
- “Research on the Poverty Alleviation Effect from the Perspective of Multidimensional Poverty”
Master students
Current
Yang Wang (CAU)
Xinyu Zhang (CAU)
Zhengshui Ma (CAU)
Baoshuai Yi (CAU)
- Ye Sun (CAU)
- “Modeling the Resilience of Long-period Dynamic Systems: a Case Study of Extreme Precipitation Events on Winter Wheat Harvesting in China” (Working title)
- Jingxuan Li (CAU)
- “Robustness of field area calculation algorithms based on agricultural machinery trajectories” (Working title)
2025
- Mengqi Li (UZH)
- Master’s thesis. Main advisor.
- “Quantifying the Impact of Transportation Diversity on Human Mobility Resilience During Extreme Disasters: A Case Study of NYC during Hurricane Ida”
- Joris Senn (UZH)
- Master’s thesis. Co-advisor, with Prof. Dr. Robert Weibel and Dr. Zhiyong Zhou
- “Context-based operator classification for cartographic building generalization: A multimodal deep learning approach”
- Chenxi Jiang (UZH)
- Master’s thesis. Main advisor.
- “Indoor-outdoor detection with MOASIS data”
2024
- Yelu He (UZH)
- Master’s thesis. Co-advisor, with Prof. Dr. Robert Weibel and Mr. Wernher Brucks in the City of Zurich. 2023.5-2024.5
- “The influence of traffic-infrastructure characteristics on e-scooter accidents in the city of Zürich”
- Nicola Maiani (UZH)
- Master’s thesis. Co-advisor, with Prof. Dr. Ross Purves.
- “Traffic coverage quality by bike in Switzerland: A comparison of cities’ bikeability”
2023
- Linus Rüegg (UZH)
- Master’s thesis. Co-advisor, with Prof. Dr. Robert Weibel and Dr. Thomas Phillips.
- “LocID – A Unique Object at a Location Identifier: Designing a Global Hierarchical Geographic Identifier that Accounts for Spatial Inaccuracy and Computational Performance”
- Tao Peng (UZH)
- Master’s thesis. Main advisor.
- “The Association between Human Mobility and Political, Social, Spatial Factors in the US”
- Adrian Grossenbacher (UZH)
- Master’s Thesis. Main advisor.
- “Impact of Urban Structure on Mobility During COVID-19: A Polycentricity Perspective”
- Jan Winkler (UZH)
- Master’s Thesis. Main advisor, with Prof. Dr. Robert Weibel and Dr. Zhiyong Zhou.
- “Exploring Transformer Architecture for Building Generalization in Binary Cartographic Maps”
- Nicolas Beglinger (UZH)
- Master’s Thesis. Main advisor, with Prof. Dr. Robert Weibel and Dr. Zhiyong Zhou.
- “Vector-based Cartographic Generalization of Roads using Graph Convolutional Neural Networks”
2022
- Martin Specker (UZH)
- Master’s thesis. Main advisor.
- “Gait Analysis of Older Adults: Filter Comparison and Geographical Context”
2021
- Alexandra-Ioana Georgescu (UZH)
- Master’s Thesis. Main advisor. Now PhD student at UZH
- “Optimising Locations for Future Return Car-sharing Services: Case Study of the Swiss Car-sharing Cooperative Mobility”
- Pascal Griffel (UZH)
- Master’s thesis. Main advisor, with Prof. Dr. Christina Röcke, Dept. of Psychology UZH.
- “Correlates of Older Adults’ Out-of-Home Behaviour: Linking Health and Cognition with Mobility Indicators Derived from GPS-Trajectories”
- Livio Brühwiler (UZH)
- Master’s thesis. Main advisor.
- “Predicting Individual Car Accident Risk using G.P.S. Trajectories and Critical Driving Events Data”
- Reetta Vaelimaeki (UZH)
- Master’s thesis. Main advisor.
- “The Relationship of Visiting Places and the Health of the Aging: through Spatial Trajectory Data”
2018
- Ursina Boos (UZH)
- Independent research project. Main advisor.
- “Towards Cross-Scale Origin Destination Individual Mobility Networks Using Big Data”
