Dr Jianglin Lan
- Leverhulme Early Career Fellow (Autonomous Systems & Connectivity)
Biography
Work Experience:
- May 2022 - present: Leverhulme Early Career Fellow, Proleptic Lecturer in Autonomous Systems, University of Glasgow.
- March 2023 - present: Honorary Research Fellow, Imperial College London.
- March - August 2024: Visiting Scientist, ABE Group, Wageningen University & Research.
- April - June 2023: Visiting Professor, The Robotics Institute, Carnegie Mellon University.
- August 2017 - April 2022: Research Associate, Imperial College London, University of Glasgow, Loughborough University, University of Sheffield.
Education:
- PhD in Engineering, University of Hull, 2017.
- MSc in Control Theory and Control Engineering, South China University of Technology, 2014.
- BEng in Automation, South China Agricultural University, 2011.
Research interests
Dr Lan's research interests include but are not limited to:
- Safe & robust AI and autonomy
- Low-carbon machine learning techniques
- Monitoring and verification of learning-enabled systems
- Data-driven control
- Fault diagnosis and fault-tolerant control
- Applications: autonomous vehicles, UAV, robotics
Find the lisit of publications here!
Grants
- PI: Leverhulme Trust Early Career Fellowship & UofG LKAS Leadership Fellowship, "Decarbonising machine learning for safe and robust autonomous systems", £383k, 2022-2025.
- PI: Royal Society International Exchanges, "A data-driven fault-tolerant mechanism design method for future intelligent energy supply systems", £12k, 2023-2025.
- PI: Royal Society International Exchanges Cost Share (NSFC), "An accurate, robust and lightweight multi-camera multi-vehicle tracking system for the future intelligent transportation system", £12k, 2023-2025.
- PI: Graduate School for Production Ecology & Resource Conservation (PE&RC), Wageningen University & Research, €10k, 2024.
- PI: Division of Autonomous Systems & Connectivity ECR Fund, £4k, 2022.
Supervision
Dr Lan always welcomes enquiries to supervise research students and visiting students/scholars in his research areas.
Current PhD students:
Principal supervisor
- Yuxuan Han (2023-), Autonomous multi-UAVs systems
- Wei Wei (2023-), Safe reinforcement learning control
- Mahmud Sani Zango (2023-), Machine learning for resource-constrained UAVs
- Azizjon Kobilov (2023-), Learning and control for autonomous systems
- Zhihao Lin (2023-), Vision-based robot control
- Peizhuo Yu (2022-), Robot navigation in human-shared environment
Second supervisor
- Chen, Qikun
Unravelling the Mystery: A Causal-Based Approach to Task Failure Explanation
Alumni:
MSc:
- 2024: Qinyu Fan, Zhiyu Ren, Binhan Tian, Haoyu Wang, Xinyuan Wu
- 2023: Hongyu Liu
- 2024: David Lawton, Leo Liu
Teaching
MSc Control Engineering:
- Control Systems Analysis and Design M (ENG5314)
- Control M (ENG5022, Continuous system part)
Additional information
- Reviewer for journals and conferences: IEEE Transactions on Automatic Control, Automatica, Systems & Control Letters, IEEE Transactions on Vehicular Technology, International Journal of Adaptive Control and Signal Processing, Renewable Energy, International Conference on Control and Fault-Tolerant Systems, American Control Conference, IFAC SafeProcess, ICML, etc.
- PC Member for AAAI-2022, AAAI-2023.
Find out more about Dr Lan through: