Tao Guo

Field of Expertise

Machine learning	Graph representation learning, Time series learning
Optimization	Stochastic Programming, Heuristic, etc.
Agent-Based Simulation	Multi-agent Transport Simulation (MATSim)

Education and Training

Oct. 2021 – Jan. 2024	M.Sc. Transportation Systems (Grade: 1.2) Technical University of Munich  Thesis: Optimizing Siting of Urban Air Mobility Vertiports in Multimodal Transportation Networks with Two-Stage Stochastic Programming (Grade: 1.0)
Oct. 2019 – Mar. 2020	B.Sc. Civil Engineering (Exchange Student)  RWTH Aachen University
Sep 2016 – Jul. 2020	B.Eng. in Road, Bridge and River-crossing Engineering (Grade: 89.3/100) Chang’an University Thesis: Design of Highway from Siyang to Suqian (Highest Distinction)

Work Experience

Feb. 2024 – present	Research Associate & Ph.D. Candidate Chair of Transportation Systems Engineering Technical University of Munich Munich, Germany
Jul. 2022 – Dec. 2023	Working Student Department of Development Yunex Traffic GmbH  Munich, Germany

Publications

• Guo, T., Wu, H.^*, Lu, Q.-L., & Antoniou, C. (2025). Planning UAM network under uncertain travelers’ preferences: A sequential two-layer stochastic optimization approach. Transportation Research Part A: Policy and Practice, 200, 104632. https://doi.org/10.1016/j.tra.2025.104632
• Guo, T., Wu, H.^*, Zame, S. I., & Antoniou, C. (2025). Data-driven vertiport siting: A comparative analysis of clustering methods for Urban Air Mobility. Journal of Urban Mobility, 7, 100117. https://doi.org/10.1016/j.urbmob.2025.100117
• Wu, H., Zame, S. I., Guo, T.^*, Lu, Q.-L., & Antoniou, C. (2025). A sustainable multi-objective framework for multi-phased, capacitated vertiport siting with land use integration. Communications in Transportation Research, 5, 100186. https://doi.org/10.1016/j.commtr.2025.100186