People

Director

Zhenliang Ma

TRENoP Associate Professor at KTH

Faculty Member of Digital Futures and KTH ITRL Lab,  Associate Editor of IEEE Transactions on Intelligent Transportation Systems and Journal of Public Transportation, TRB Committee Member (AP017 Standing Committee on Transit Data and Emerging Technologies), 

Researchers (Postdocs and PhDs)

Benjamin Cottreau

Postdoc, Causal Machine Learning

Yancheng Ling

Postdoc, Urban Knowledge Graph

Haoye Chen

PhD, Multimodal Autonomous Mobility

Jonas Jostmann

PhD. Digital Twin in Transportation

Michelle Toinette van Ardenne

PhD, Personalized Information in Public Transportation

Giancarlo Antonio Herring-Calvo

PhD, DMDU for Transport Planning

Zhenlin Qin

PhD, Data Science and Mobility

Seyedeh Zahra Mousavi Ziabari

PhD, Data/AI for Public Transportation

Leizhen Wang

PhD, AI for Traffic Assignment

Huabo Lu

Visiting PhD, Electric Truck Transport

Xiaoyi Wu

Visiting PhD, Multimodal Mobility Systems

Research Affiliates/Assistants

  • Marina Wiemers. Digital Twin Based Traffic Signal Control. DF Summer Research Intern, KTH, Sweden, 2025-
  • Jinghan Xu. Green View Index Estimation from Satellite Data. DF Summer Research Intern, KTH, Sweden, 2025-
  • Tong Mo. GEMINI Digital Twin – 4D Visualization Model, Research Assistant, KTH, Sweden, 2024-
  • Pengfei Zhang.  Individual Mobility Prediction. Research Affiliate, Henan Academy of Sciences, China, 2019-Now

Alumni

Postdocs

  • Yuanyuan WuCausal Reinforcement Learning using Public Transport Data. Transport Science, KTH, Sweden, 2023-2025.
  • Alex Markham, Causal Behavior Modeling using Travel Trajectory Data. Mathematics, KTH, Sweden, 2023-2025.
  • Songhua Hu. Digital Twin for Traffic Emission Monitoring and Prediction. MIT, United States, 2022-2024.

PhDs

  • Xia Zhou. Demand Assignment Models and Incentive Designs in Public Transportation. PhD, Faculty of Information Technology, Monash University, Australia, 2022-2026.
  • Qi Zhang. Data-Driven Graphical Modelling and Applications in Public Transportation. PhD in Transport Science, KTH Royal Institute of Technology, Sweden, 2021-2025.  (Thesis link)
  • Chunliang Wu. Multi-Agent Reinforcement Learning for Traffic Signal Control. PhD in Transport Engineering, Monash University, Australia, 2019-2022. (Thesis link)
  • Wenhua Jiang. Real-Time Mobility Prediction and Management in Urban Railway Systems. PhD in Transport Engineering, Monash University, Australia, 2019-2022. (Thesis link)
  • Prudence Blake. Investigating a New Approach to Market Change Measurement in Public Transport. PhD in Transport Engineering, Monash University, Australia, 2019-2021. (Thesis link)

Visiting researchers/students

  • Chang Liu.  Assistant Professor, Erasmus+ Mobility Training Program, Budapest University of Technology and Economics (BME), Hungary, 2026.
  • Xuwen Jia. Visiting PhD, Real-Time Estimation of Train Dynamics and Driver Behavior for Adaptive Railway Control, University College London, UK, 2025.
  • Yu Zhang. Visiting PhD, Mathcing models for on-demand mobility services.  Beihang University, China, 2024-2025.
  • Jaylen Jordan Jones. Summer Internship, Digital twin for transport simulation, UC Berkeley, USA, 2025.
  • Yongqiu Zhu. Assistant Professor, Digital Futures Earch Career Researcher, TU Delft, Netherlands, 2024.
  • Haoyan Wang. Research Assistant, GEMINI Digital Twin – Demand Model from OSM,  KTH, Swden, 202
  • Trisha Chander Chandrasekar. Reserach Assistant, LLM for information synthesis from literatures, KTH, Sweden 2024.
  • Giuseppe Giovanni Paolo Perona. Summer Internship, PT Demand Estimation from Cell Phone Data, UC Berkeley, USA 2024.
  • José Edgardo Niño Baez. Visiting PhD, Operational strategies in real-time at the terminal and on the route of a multi-line public transportation system with a mixed fleet, Pontificia Universidad Católica de Chile, Chile, 2024.
  • Kah Yong Tiong. Visiting PhD, Data-driven Train Delay Prediction, Lund University, Sweden, 2022-2024.
  • Yuchen Song. Visiting PhD, ML for Behavior Modeling. Southeast University, China, 2022-2023.
  • Peiling Wu. Summer Internship, Digital Twin in Transportation, KTH, Sweden, 2023.
  • Jiayi Feng. Summer Internship, Data Embedding for Deep Learning Models, KTH, Sweden, 2023.
  • Xiao Lin. Visiting Postdoc, Freight and Traffic Modeling, TU Delft, Netherlands, 2023