Dr Jianglin Lan
- Leverhulme Early Career Fellow (Autonomous Systems & Connectivity)
- Leverhulme Early Career Fellow and Proleptic Lecturer in Autonomous Systems, University of Glasgow, May 2022 - present
- Honorary Research Fellow, Imperial College London, March 2023 - present
- Research Associate, Imperial College London, May 2021 - April 2022
- Research Associate, University of Glasgow, December 2020 - April 2021
- Research Associate, Loughborough University, November 2018 - November 2020
- Research Associate, University of Sheffield, August 2017 - November 2018
- PhD in Intelligent Systems 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
Dr Lan is currently working on the Leverhulme Trust Early Career Fellowship project "Decarbonising Machine Learning for Robust and Safe Autonomous Systems". His research interests include but are not limited to:
- Low-carbon machine learning techniques
- Safe and robust autonomy
- 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!
- Leverhulme Trust Early Career Fellowship & UofG LKAS Leadership Fellowship, "Decarbonising machine learning for safe and robust autonomous systems", PI, £383k, 2022-2025.
- Royal Society International Exchanges, "A data-driven fault-tolerant mechanism design method for future intelligent energy supply systems", PI, £12k, 2023-2025.
- Royal Society International Exchanges Cost Share (NSFC), "An accurate, robust and lightweight multi-camera multi-vehicle tracking system for the future intelligent transportation system", PI, £12k, 2023-2025.
- Division of Autonomous Systems & Connectivity ECR Fund, PI, £4k, 2022.
Dr Lan always welcomes enquiries to supervise research students and visiting students/scholars in his research areas.
A PhD project is currently advertised here! There are currently a large volume of enquiries, so only the suitable candidates will be contacted within a week.
Current PhD students:
- Mr Zhihao Lin (2023-), Vision-based robot control
- Mr Peizhuo Yu (2022-), Robot navigation in human-shared environment
- Chen, Qikun
Unravelling the Mystery: A Causal-Based Approach to Task Failure Explanation
- Vijayakumar, Harikrishnan
Dynamic path planning and following for autonomous vehicles
MSc Control Engineering:
- Control Systems Analysis and Design M (ENG5314)
- Control M (ENG5022, Continuous Control part)
Professional activities & recognition
- 2022 - 2025: Leverhulme Early Career Fellowship
- 2022 - 2025: Lord Kelvin Adam Smith Felllowship
- 2023: International Journal of Adaptive Control and Signal Processing
Professional & learned societies
- 2022 - 2024: Member, Association for the Advancement of Artificial Intelligence (AAAI)
- 2023: Affiliate, International Federation of Automatic Control
Selected international presentations
- 2022: Invited Talk at Southeast University, China (Virtual)
- 2022: The Workshop on Formal Methods for ML-Enabled Autonomous Systems (Virtual)
- 2022: The 36th AAAI Conference on Artificial Intelligence (Virtual)
- 2023: The 37th AAAI Conference on Artificial Intelligence (Virtual)
- 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.
Find out more about Dr Lan through: