Education

• Ph.D in Autonomous Systems & Connectivity, University of Glasgow (UofG), Feb. 2026 (Expected, Supervisor: Dr. Jianglin Lan)
• M.S. in Circuits and Systems, Jilin University, 2022
• B.S. in Electronic Information Engineering, Liaocheng University, 2018

Honors

• Apr. 2025: Mobility Scholarship of University of Glasgow

• June 2022: Doctoral Scholarship of the China Scholarship Council (CSC)

• Dec. 2021: Academic Scholarship of Jilin University (2020-2021)

Skills

• Programming Languages: Python, C/C++, MATLAB, R, and Latex
• Machine Learning Tools: Pytorch, Sklearn, Pandas, and Numpy
• Hobbies: Badminton, Swimming, and Hiking

Publications

SLAM2: Simultaneous Localization and Multimode Mapping for indoor dynamic environments Permalink

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.

Efficient and balanced exploration-driven decision making for autonomous racing using local information Permalink

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.

Enhanced visual slam for collision-free driving with lightweight autonomous cars Permalink

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.

A conflicts-free, speed-lossless KAN-based reinforcement learning decision system for interactive driving in roundabouts Permalink

Z. Lin, et al, "A conflicts-free, speed-lossless KAN-based reinforcement learning decision system for interactive driving in roundabouts," arXiv preprint arxiv:2408.08242, 2024.

Balanced reward-inspired reinforcement learning for autonomous vehicle racing

T. Zhen, D. Zhao, Z. Lin, et al., "Balanced reward-inspired reinforcement learning for autonomous vehicle racing," in Proc. L4DC., 2024, pp. 628-640.

DPL-SLAM: enhancing dynamic point-line SLAM through dense semantic methods Permalink

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.

Service

• Reviewer of the IEEE Transactions on Transportation Electrification
• Reviewer of the IEEE Transactions on Instrumentation and Measurement
• Reviewer of the ISA Transactions
• Program Committee Member of the 45th IEEE ICDCS 2025