π Education
- Ph.D. in Autonomous Systems & Connectivity, University of Glasgow (UofG), UK
- Feb. 2023 - Feb. 2026 (Expected)
- Supervisor: Dr. Jianglin Lan
- Thesis Focus: Structure-Aware Reinforcement Learning & Multi-Agent Decision Making
- M.S. in Circuits and Systems, Jilin University, China
- B.S. in Electronic Information Engineering, Liaocheng University, China
π Research Profile
My research focuses on structure-aware reinforcement learning and multi-agent decision-making for safety-critical autonomous systems. I am particularly interested in identifying geometric and dynamical structures underlying high-dimensional continuous control, and developing policy optimization methods that respect physical constraints, stability, and invariance properties.
π¬ Research Experience
Structure-Aware Learning & Geometric Control (Ph.D. Research) University of Glasgow | 2024 - Present
- To resolve the boundary constraint mismatch in Gaussian policies, achieving 7-10x sample efficiency on continuous control benchmarks.
- Exploring theoretical connections between Hamiltonian mechanics, Symplectic geometry, and RL to ensure physical consistency in learning-based control.
- Key Output: 1 Paper under rebuttal (Top-tier ML), 1 AAMAS Accepted.
Multi-Agent Decision Making & Game Theory University of Glasgow | 2023 - 2024
- Developed scalable coordination frameworks using Level-k reasoning and reconstructed MCTS for mixed traffic scenarios.
- Designed Stackelberg game-theoretic planning algorithms for interactive autonomous driving.
- Key Output: Published in IEEE T-ITS and IEEE T-VT.
Robust Perception & SLAM Jilin University & UofG (Early Stage) | 2021 - 2023
- Developed dynamic-aware visual SLAM systems (DPL-SLAM) robust to moving objects in complex urban environments.
- Key Output: Published in IEEE Sensors Journal and Pattern Recognition.
π Honors & Awards
- Apr. 2025: Research Mobility Scholarship, University of Glasgow (Competitive grant for international research collaboration)
- Apr. 2024: Editorβs Choice Article Award, Sensors Journal
- June 2022: Doctoral Scholarship, China Scholarship Council (CSC) (Full funding for 4 years)
- Dec. 2021: Academic Scholarship, Jilin University (Top 10%)
π Publications
(Selected recent works. Full list on Google Scholar)
Z. Lin et al, "Uncertainty-Aware Roundabout Navigation: A Switched Decision Framework Integrating Stackelberg Games and Dynamic Potential Fields," IEEE Trans. Veh. Technol., pp 01-13, 2025.
Z. Tian, Z. Lin et al, "Evaluating scenario-based decision-making for interactive autonomous driving using rational criteria: A survey," IEEE Trans. Intell. Transp. Syst., pp 01-20, 2025.
Z. Lin, et al, "Safety-Critical Multi-Agent MCTS for Mixed Traffic Coordination at Unsignalized Intersections," IEEE Trans. Intell. Transp. Syst., vol. 26, no. 11, pp. 18992-19006, Nov. 2025
Z. Lin, et al, "Contingency-Aware Spatiotemporal Optimization for Safe Autonomous Vehicle Trajectory Planning," IEEE Trans. Intell. Transp. Syst., vol. 26, no. 11, pp. 18487-18499, Nov. 2025.
Z. Lin, et al, "KAN-LSTM Enhanced Multi-Agent Advantage Actor-Critic Reinforcement Learning for Autonomous Ramp Merging," IEEE Trans. Veh. Technol., pp 01-12, 2025.
Z. Lin, Q. Zhang, Z. Tian, et al., "SLAM2: Simultaneous Localization and Multimode Mapping for indoor dynamic environments," Pattern Recognit., vol. 158, p. 111054, 2025.
Z. Tian, et al, "Efficient and balanced exploration-driven decision making for autonomous racing using local information," IEEE Trans. Intell. Veh.,pp 1-17, 2024.
Z. Lin, Z. Tian, Q. Zhang, Z. Zhuang, and J. Lan, "Enhanced visual slam for collision-free driving with lightweight autonomous cars," Sensors 2024, 24, 6258.
Z. Lin, et al, "A conflicts-free, speed-lossless KAN-based reinforcement learning decision system for interactive driving in roundabouts," IEEE Trans. Intell. Transp. Syst., vol. 26, no. 10, pp. 16377-16390, Oct. 2025.
T. Zhen, D. Zhao, Z. Lin, et al., "Balanced reward-inspired reinforcement learning for autonomous vehicle racing," in Proc. L4DC., 2024, pp. 628-640.
Z. Lin, Q. Zhang, Z. Tian, P. Yu, and J. Lan, "DPL-SLAM: Enhancing Dynamic Point-Line SLAM Through Dense Semantic Methods," IEEE Sens. J., vol. 24, no. 9, pp. 14596-14607, 2024.
π οΈ Technical Skills
- Reinforcement Learning: Policy Gradient (PPO, SAC, TD3), Geometric Policy Optimization, Actor-Critic
- Programming: Python, C/C++, MATLAB, R, LaTeX
- Machine Learning: PyTorch, Scikit-learn, Pandas, NumPy, Stable Baselines3
- Robotics & Simulators: ROS/ROS2, CARLA, Isaac Gym, MuJoCo
- Tools: Git, Docker, Linux
β Academic Service
Journal Reviewer
- IEEE Transactions on Robotics (T-RO)
- IEEE Transactions on Intelligent Transportation Systems (T-ITS)
- IEEE Transactions on Vehicular Technology (T-VT)
- IEEE Transactions on Transportation Electrification
- IEEE Transactions on Circuits and Systems for Video Technology
- IEEE Transactions on Instrumentation and Measuremen
- Transportation Research Part C
- Pattern Recognition
- ISA Transactions
Conference Service
- Program Committee Student Member: 45th IEEE ICDCS 2025
- Reviewer: ICRA, IROS
π₯ Download
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