I am currently a master's student at Peking University with a keen focus on Urban Computing, Computational Social Science, Complexity, and Complex Networks. From September 2022 to September 2023, I had the privilege to serve as a research assistant in the Big Geospatial Data Management Group at the Technical University of Munich, Germany, under the guidance of Prof. Dr. Martin Werner. Presently, I am advancing my research at the Institute of Space and Earth Information Science at The Chinese University of Hong Kong, mentored by Professor Mei-Po Kwan.
Since 2020, I have been working as a part-time research assistant at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, under the leadership of Professor Li Yurui, delving into regional complex systems simulation and Multi-Agent Reinforcement Learning.
My aspiration is to integrate cutting-edge artificial intelligence algorithms into my research, with a particular interest in deep learning and large language models. My academic vision revolves around constructing a research framework based on the principles of spatiotemporal dynamics, causality, and scale, aiming for a deeper understanding of complex system dynamics.
You can reach me via email: liuzhihang@stu.pku.edu.cn
Download my resumé.
MSc in Urban Planning (Research in Urban Computing), 2024
Peking University
BA in Public Administration (Research in Computational Social Science), 2021
Sun Yat-Sen University
Participation in Project: “Vehicle Detection and Vehicle-kilometrage Estimation Based on Remote Sensing Technologies”, Smart Traffic Fund, The Government of Hong Kong SAR, No. PSRI/44/2208/PR, 2023 – 2025. (PI: Prof. Mei-Po Kwan)
Research Direction: Deep Learning of Remote Sensing and Modeling of Complex Transportation Systems
Supervisor: Prof. Mei-Po Kwan
Research Direction: Mobility AI with urban imagery, networks, and natural language
Participation in Project: “Towards a NAS Benchmark for Classification in Earth Observation”, Sponsored by: TUM Data Science in Earth Observation cooperating with the German Aerospace Center (DLR), 2022-2023
Research Direction: Complexity & Complex Networks, Auto ML
Output papers: Efficiency and equity of the multimodal travel between public transit and bike-sharing accounting for multiscale, Spatio-temporal Analysis of Urban Economic Resilience during Covid-19 with Multilayer Complex Networks
Supervisor: Prof. Dr. Martin Werner
Participation in Project: “Cooperative Observation, Transformation Mechanism and Scenario Simulation of Rural Areal System”, Major Program of the National Natural Science Foundation of China, No. 42293270, 2023 – 2027. (PI: Prof. Liu Yansui)
Research Direction: Regional complex systems simulation & Multi-Agent Reinforcement Learning
Output paper: Exploring Patterns of Rural Development through Collective Behavior-Based AI Simulation
Supervisor: Prof. Yurui Li