Teaching and Thesis Supervision
Potential Research Cooperation Opportunity
My group is actively seeking PhD students, visiting (CSC-funded) PhDs/RAs/Scholars, and Master's students (thesis projects) in the wide domain of Transportation & Traffic Engineering, Intelligent Transportation Systems, AI, Data Science, and Digital Twins. Typical research areas include:
- Connected Automated Vehicles
- Mixed-Autonomy Traffic
- Driving Risk Modelling
- Transport & Traffic Safety
- Socially Compliant Decision-making
- Multi-agent Deep Reinforcement Learning
- Shared Smart & Sustainable Mobility
- Smart Logistics & Delivery Robots
- Lane Detection, Object Detection & Tracking
- Multi-modal Data Fusion & Data Mining in Transportation Research
- Deep Learning/Reinforcement Learning/Large Language Models for Automated Mobility
- Explainable AI Applications in Mobility & Interdisciplinary Problems
Opening Master Thesis Project Topics
- Robust Lane Detection using Spatial-temporal Sequential Attention Based Transformer Model
- Few-shot learning and domain adaption for lane detection with pre-trained large model
- Deep learning for abnormal driving behaviour detection, prediction, and prevention
- How could automated vehicles (AVs) be socially compliant in mixed traffic? Insights for social AVs
- Deep Multi-agent Reinforcement Learning for Vehicle-Traffic Light Federated Control and Optimization
Feel free to email me at yongqi.dong@rwth-aachen.de for research discussion and possible collaboration!
Past and On-going Thesis Supervision
Yuteng Zhang, Master of Science in Transport, Infrastructure & Logistics, TU Delft, Thesis title: Coordinated Planning and Control for Connected and Automated Vehicles’ On-ramp Merging in Mixed Traffic Through Value Decomposition-based Multiagent Deep Reinforcement Learning, Jan.2024-ongoing
Cesar Flores Reyna, Master of Science in Sustainable Mobility Transitions, within the EIT program, TU/e, Thesis title: Investigating a Benchmarking Framework for the Large-Scale Micro Simulator (LSMS) Platform in Freeways under Dynamic Speed Limits, Jan.2024-ongoing
Mathijs den Otter, Master of Science in Civil Engineering–Transport and Planning, TU Delft, Thesis title: Impact of Improved Lane Marking Properties on the Performance of Lane Keeping Assistance Systems in Varying Circumstances, Nov.2022-Dec.2023
- Lanxin Zhang, Master of Science in Civil Engineering–Transport and Planning, TU Delft, Thesis title: Semi-supervised Machine Learning for Abnormal Driving Behaviour Detection, Oct.2022-Jun.2023
- Henan Yuan, Bachelor in Traffic and Transportation, BJTU & TU Delft Joint TTE Bachelor Program, Thesis title: Deep Reinforcement Learning for Driving through Roundabouts, Oct.2022-Jun.2023
- Shiva Nischal Lingam, Master of Science in Civil Engineering–Transport and Planning, TU Delft, Thesis title: Effects of External Human Machine Interfaces on Automated Vehicles’ Communicative Interactions With Human Drivers (Cum Laude), Won 2nd Cuperusprijs Prize of KIVI, Jan.2021-Nov.2021
- Sandeep Patil, Master of Science in Mechanical Engineering (Vehicular Engineering), TU Delft, Thesis title: Lane Detection using SpatioTemporal Attention, Oct.2020-Aug.2021
- Eline van der Kooij, Master of Science in Transport, Infrastructure & Logistics, TU Delft, Thesis title: Visibility of Lane Markings for Machine Vision, Jul.2020-May.2021
- Sanny Toonen, Bachelor of Science in Civil Engineering–Transport and Planning, TU Delft, Thesis title: Lane recognition for automated vehicles, Jul.2020-May.2021
Course and Project Supervision
- Project supervisor, Course: Fundamentals of Artificial Intelligence Programme (2023/2024) IFEEMCS520100, EEMCS, TU Delft, Sep.2023-Nov.2023
- Project supervisor, Course: Interdisciplinary Advanced Artificial Intelligence Project (2023/2024) IFEEMCS520200, EEMCS, TU Delft, Sep.2023-Nov.2023
- Guest lecturer, Course: Computational Intelligence CSE2530, EEMCS, TU Delft, Mar.2023
- Project supervisor, Course: Capstone Applied AI Project T13150TU, 2022-2023 & 2023-2024 EEMCS, TU Delft, Nov.2022-Feb.2023 & Nov.2023- Feb.2024
- Teaching Assistant & Instructor, Course: Advanced Lecture “Trends in Transportation”, TU Delft and BJTU joint Bachelor program, Mar.2022 & Mar.2023
- Teaching Assistant, Course: Intelligent Vehicles for Safe and Efficient Traffic CIE5805, Transport and Planning, TU Delft, Apr.2020-Aug.2020 & Apr.2021-Aug.2021
- Teaching Assistant, Course: Data Ethics, Department of Automation, Tsinghua University, Sep.2016-Jan.2017
- Teaching and Lab Assistant, Course: Advanced Labs in Electronic Technology, Electrical and Electronic Lab Center, Tsinghua University, Mar.2016-Jul.2016
- Teaching and Lab Assistant, Course: Fundamentals of Electronics Power Technology, Electrical and Electronic Lab Center, Tsinghua University, Mar.2015-Jul.2015
- RSI Tutor, Research writing and presentation tutor for the 2017 Research Science Institute Program at Tsinghua University, Center for Excellence in Education, USA, Jul.2017-Aug.2017
Mentorship
- Undergraduate Counselor (Class 201204), School of Electronic and Information Engineering, Beijing Jiaotong University, Jul.2012-Jul.2014
I have mentored and collaborated with multiple undergraduate, master, and junior Ph.D. students over several research projects in the past few years. Please refer to my CV for detailed information.