Xu Han 📧 Ph.D. Student (Co-advisee)

Education Experience
Beijing Jiaotong University, Ph.D., Systems Science, 2023 -
Southeast University, MSc, Transportation Engineering, 2020 - 2023
Jilin University, BSc, Transportation Engineering, 2014 - 2018
Thesis

Xu is a Ph.D. student at Beijing Jiaotong University. His research focuses on route planning and transportation network modeling. He has been responsible for generating multimodal travel schemes based on the Contraction Hierarchies path-finding algorithm and for conducting parallelized computation of transportation network capacity under an informationized environment. His current research interests lie in applying operations research methods to the study of resilience and recovery of transportation networks.

Mingliang Luo 📧 Ph.D. Student (Co-advisee)

Education Experience
Beijing Jiaotong University, Ph.D., Systems Science, 2024 -
University of Shanghai for Science and Technology, Msc, Transportation Engineering, 2020 - 2023
Zhengzhou University of Economics and Business, BSc, Information Management and Information Systems, 2015 - 2019
Thesis

Mingliang currently is a Ph.D. candidate whose research builds upon his Master’s work on optimizing patient transport and logistics distribution routes. He now focuses on scheduling autonomous public transport buses. His primary research interest lies in the cooperative optimization of vehicle scheduling and charging strategies using deep reinforcement learning. Outside of research, he enjoys swimming, running, and mountaineering, and is passionate about outdoor travel and exploration.

Shuyan Xiao 📧 Master’s Student (Co-advisee)

Education Experience
Beijing Jiaotong University, MSc, Transportation Planning and Management, 2023 -
Lanzhou Jiaotong University, BSc, Traffic and Transportation, 2019 - 2023
Thesis

I am a Master’s student at the School of Traffic and Transportation, Beijing Jiaotong University. I previously conducted research on the collaborative optimization of urban rail transit timetables and passenger flow control. My current research interests involve integrating express services into the design and scheduling of autonomous modular bus transit systems. In my spare time, I enjoy singing, dancing, and playing badminton.

Yuting Cheng 📧 Master’s Student (Co-advisee)

Education Experience
Beijing Jiaotong University, MSc, Transportation Planning and Management, 2023 -
Anhui University of Technology, B.S., Information and Computing Science, 2019 - 2023 Thesis

I am a graduate student in Systems Science at Beijing Jiaotong University, building upon a solid undergraduate foundation in Mathematical Analysis, Operations Research, Information Theory, and Data Structures. My previous research includes a data-driven study on gastric cancer patient prognosis. Currently, my focus is on the joint optimization of modular vehicle formation and scheduling under uncertainty, where I develop optimization algorithms to mitigate the impact of system randomness. Beyond research, I enjoy badminton, photography, and traveling to explore the world and maintain a balanced life.

Dexin Zhang 📧 Master’s Student (Co-advisee)

Education Experience
Beijing Jiaotong University, MEng, Transportation Engineering, 2023 -
Changan University, BSc, Transportation Engineering, 2019 - 2023
Thesis

I am currently a graduate student in School of Traffic and Transportation at Beijing Jiaotong University. My research focuses on transportation big data mining and travel behavior analysis. I specialize in using methods like the Hidden Markov Model and operations research optimization to tackle problems related to behavior analysis and traveler decision-making. I’m particularly interested in mining insights from large-scale, integrated datasets—such as ride-hailing and bike-sharing data, along with POI information—to uncover meaningful patterns and demands. Currently, I’m applying these techniques to practical areas like optimal planning for electric vehicle charging stations and understanding driver charging behavior. Outside of my research, I enjoy spending quality time with friends, whether it’s exploring new places, trying out different foods, or cooking a nice meal together.

Tong Yang 📧 Master’s Student

Education Experience
Beijing Jiaotong University, MSc, Systems Science, 2024 -
Shandong University, BSc, Financ, 2018 - 2022
Thesis

I joined the research group in 2024. During my undergraduate studies, I investigated the impact of uncertainties such as policy changes and international market fluctuations on firms within the context of green trade barriers. My current research focuses on dispatch optimization for ride-hailing systems under uncertainty, primarily addressing the modeling of multiple uncertainties and complex scenarios. Outside of research, I am an avid sports enthusiast and has achieved multiple top rankings in university athletic competitions.

Yu Pan 📧 Master’s Student (Co-advisee)

Education Experience
Beijing Jiaotong University, MSc, Systems Science, 2025 -
Beijing Jiaotong University, BSc, Systems Science, 2021 - 2025
Thesis

Yu Pan is currently a master’s student in Systems Science at Beijing Jiaotong University. She has background in optimization, traffic flow and complex network modeling. She is interested in optimization under uncertainty, facility location problems and capacity planning. Her current research is about ride-hailing dispatch optimization, aiming to improve efficiency and equity in urban mobility systems. Her undergraduate thesis was titled “Drone Scheduling Optimization for Last-Mile Delivery”. Outside of research, she enjoys traveling, swimming, and playing the guzheng (a traditional Chinese instrument).

Xinxin Zhang 📧 Master’s Student

Education Experience
Beijing Jiaotong University, MSc, Systems Science, 2025 -
Wuhan University of Science And Technology, BSc, Logistics Management, 2021 - 2025 Thesis

I joined the research group in 2025, and before this I conducted some optimization and coordination problems for supply chains. My current research interest is urban last-mile delivery optimization. I am passionate about identifying problems from everyday scenarios and seeking efficient solutions through building mathematical models. I also look forward to applying this way of thinking to team research and contributing to relevant projects.