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.
  • 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:

  • 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! 

Publications

List by: Type | Date

Jump to: 2023 | 2022
Number of items: 14.

2023

Lan, J. and Zhao, D. (2023) Finding the LQR weights to ensure the associated Riccati equations admit a common solution. IEEE Transactions on Automatic Control, 68(10), pp. 6393-6400. (doi: 10.1109/TAC.2023.3234237)

Vijayakumar, H., Zhao, D. , Lan, J. , Zhao, W., Tian, D., Li, D., Zhou, Q. and Song, K. (2023) A holistic safe planner for automated driving considering interaction with human drivers. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2023.3317338) (Accepted for Publication)

Jiang, J., Lan, J. , Leofante, F., Rago, A. and Toni, F. (2023) Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation. In: 15th Asian Conference on Machine Learning (ACML 2023), Istanbul, Turkey, 11-14 Nov 2023, (Accepted for Publication)

Lan, J. (2023) Data-driven dual-loop control for platooning mixed human-driven and automated vehicles. IET Intelligent Transport Systems, (doi: 10.1049/itr2.12409) (Early Online Publication)

Lan, J. , Zheng, Y. and Lomuscio, A. (2023) Iteratively Enhanced Semidefinite Relaxations for Efficient Neural Network Verification. In: 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA, 7-14 Feb 2023, pp. 14937-14945. (doi: 10.1609/aaai.v37i12.26744)

Lan, J. , Zhao, D. and Tian, D. (2023) Data-driven robust predictive control for mixed vehicle platoons using noisy measurement. IEEE Transactions on Intelligent Transportation Systems, 24(6), pp. 6586-6596. (doi: 10.1109/TITS.2021.3128406)

Lan, J. , Zhao, D. and Tian, D. (2023) Safe and robust data-driven cooperative control policy for mixed vehicle platoons. International Journal of Robust and Nonlinear Control, 33(7), pp. 4171-4190. (doi: 10.1002/rnc.6412)

Lan, J. (2023) Safety Monitoring and Alert for Neural Network-Enabled Control Systems. In: 22nd IFAC World Congress (IFAC 2023), Yokohama, Japan, 09-14 Jul 2023, (Accepted for Publication)

Vijayakumar, H., Zhao, D. , Lan, J. , Zhao, W., Tian, D. and Zhang, Y. (2023) A Safe Decision Making Framework for Automated Vehicle Navigation among Human Drivers. In: 22nd IFAC World Congress (IFAC 2023), Yokohama, Japan, 09-14 Jul 2023, (Accepted for Publication)

Yang, J., Zhao, D. , Lan, J. , Xue, S., Zhao, W., Tian, D., Zhou, Q. and Song, K. (2023) Eco-driving of general mixed platoons with CAVs and HDVs. IEEE Transactions on Intelligent Vehicles, 8(2), pp. 1190-1203. (doi: 10.1109/TIV.2022.3224679)

Yang, J., Zhao, D. , Jiang, J., Lan, J. , Mason, B., Tian, D. and Li, L. (2023) A less-disturbed ecological driving strategy for connected and automated vehicles. IEEE Transactions on Intelligent Vehicles, 8(1), pp. 413-424. (doi: 10.1109/TIV.2021.3112499)

2022

Lan, J. , Bruckner, B. and Lomuscio, A. (2022) A Semidefinite Relaxation based Branch-and-Bound Method for Tight Neural Network Verification. In: 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA, 7-14 Feb 2023, (Accepted for Publication)

Lan, J. and Patton, R. (2022) An iterative strategy for robust integration of fault estimation and fault-tolerant control. Automatica, 145, 110556. (doi: 10.1016/j.automatica.2022.110556)

Yang, J., Zhao, D. , Jiang, J., Lan, J. and Li, L. (2022) An ecological driving strategy for heterogeneous platoon of connected and automated vehicles. Journal of Automotive Safety and Energy, (Accepted for Publication)

This list was generated on Wed Nov 29 15:45:22 2023 GMT.
Jump to: Articles | Conference Proceedings
Number of items: 14.

Articles

Lan, J. and Zhao, D. (2023) Finding the LQR weights to ensure the associated Riccati equations admit a common solution. IEEE Transactions on Automatic Control, 68(10), pp. 6393-6400. (doi: 10.1109/TAC.2023.3234237)

Vijayakumar, H., Zhao, D. , Lan, J. , Zhao, W., Tian, D., Li, D., Zhou, Q. and Song, K. (2023) A holistic safe planner for automated driving considering interaction with human drivers. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2023.3317338) (Accepted for Publication)

Lan, J. (2023) Data-driven dual-loop control for platooning mixed human-driven and automated vehicles. IET Intelligent Transport Systems, (doi: 10.1049/itr2.12409) (Early Online Publication)

Lan, J. , Zhao, D. and Tian, D. (2023) Data-driven robust predictive control for mixed vehicle platoons using noisy measurement. IEEE Transactions on Intelligent Transportation Systems, 24(6), pp. 6586-6596. (doi: 10.1109/TITS.2021.3128406)

Lan, J. , Zhao, D. and Tian, D. (2023) Safe and robust data-driven cooperative control policy for mixed vehicle platoons. International Journal of Robust and Nonlinear Control, 33(7), pp. 4171-4190. (doi: 10.1002/rnc.6412)

Yang, J., Zhao, D. , Lan, J. , Xue, S., Zhao, W., Tian, D., Zhou, Q. and Song, K. (2023) Eco-driving of general mixed platoons with CAVs and HDVs. IEEE Transactions on Intelligent Vehicles, 8(2), pp. 1190-1203. (doi: 10.1109/TIV.2022.3224679)

Yang, J., Zhao, D. , Jiang, J., Lan, J. , Mason, B., Tian, D. and Li, L. (2023) A less-disturbed ecological driving strategy for connected and automated vehicles. IEEE Transactions on Intelligent Vehicles, 8(1), pp. 413-424. (doi: 10.1109/TIV.2021.3112499)

Lan, J. and Patton, R. (2022) An iterative strategy for robust integration of fault estimation and fault-tolerant control. Automatica, 145, 110556. (doi: 10.1016/j.automatica.2022.110556)

Yang, J., Zhao, D. , Jiang, J., Lan, J. and Li, L. (2022) An ecological driving strategy for heterogeneous platoon of connected and automated vehicles. Journal of Automotive Safety and Energy, (Accepted for Publication)

Conference Proceedings

Jiang, J., Lan, J. , Leofante, F., Rago, A. and Toni, F. (2023) Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation. In: 15th Asian Conference on Machine Learning (ACML 2023), Istanbul, Turkey, 11-14 Nov 2023, (Accepted for Publication)

Lan, J. , Zheng, Y. and Lomuscio, A. (2023) Iteratively Enhanced Semidefinite Relaxations for Efficient Neural Network Verification. In: 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA, 7-14 Feb 2023, pp. 14937-14945. (doi: 10.1609/aaai.v37i12.26744)

Lan, J. (2023) Safety Monitoring and Alert for Neural Network-Enabled Control Systems. In: 22nd IFAC World Congress (IFAC 2023), Yokohama, Japan, 09-14 Jul 2023, (Accepted for Publication)

Vijayakumar, H., Zhao, D. , Lan, J. , Zhao, W., Tian, D. and Zhang, Y. (2023) A Safe Decision Making Framework for Automated Vehicle Navigation among Human Drivers. In: 22nd IFAC World Congress (IFAC 2023), Yokohama, Japan, 09-14 Jul 2023, (Accepted for Publication)

Lan, J. , Bruckner, B. and Lomuscio, A. (2022) A Semidefinite Relaxation based Branch-and-Bound Method for Tight Neural Network Verification. In: 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA, 7-14 Feb 2023, (Accepted for Publication)

This list was generated on Wed Nov 29 15:45:22 2023 GMT.

Grants

  • 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.

Supervision

Dr Lan always welcomes enquiries to supervise research students and visiting students/scholars in his research areas. Application guidance is at https://www.gla.ac.uk/schools/engineering/phdopportunities/. The 2024/25 EPSRC/School PhD Scholarship application is now open with the deadline on 31/01/2024.

Current PhD students:

Principal supervisor

  • Yuxuan Han (2023-), Autonomous multi-UAVs systems
  • Wei Wei (2023-), Vision-learning control for autonomous vehicles
  • 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
  • Vijayakumar, Harikrishnan
    Integrated Decision-Making and Control of Automated Vehicles Considering Uncertainties

Alumni:

  • Hongyu Liu, MSc student, 2023.
 

Teaching

MSc Control Engineering:

  • Control Systems Analysis and Design M (ENG5314) 
  • Control M (ENG5022, Continuous system part)

Professional activities & recognition

Research fellowships

  • 2022 - 2025: Leverhulme Early Career Fellowship
  • 2022 - 2025: Lord Kelvin Adam Smith Felllowship

Editorial boards

  • 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)

Additional information

  1. 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.
  2. PC Member for AAAI-2022, AAAI-2023.

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