Dr Jianglin Lan

  • Leverhulme Early Career Fellow (Autonomous Systems & Connectivity)

Biography

Work Experience:

  • 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

Education:

  • 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

 

Research interests

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! 

Publications

List by: Type | Date

Jump to: 2023 | 2022
Number of items: 11.

2023

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)

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, (doi: 10.1109/TAC.2023.3234237) (Early Online Publication)

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. , Zheng, Y. and Lomuscio, A. (2022) 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, (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 Tue Jun 6 11:58:09 2023 BST.
Jump to: Articles | Conference Proceedings
Number of items: 11.

Articles

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)

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, (doi: 10.1109/TAC.2023.3234237) (Early Online Publication)

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

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)

Lan, J. , Zheng, Y. and Lomuscio, A. (2022) 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, (Accepted for Publication)

This list was generated on Tue Jun 6 11:58:09 2023 BST.

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.

 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:

Principal supervisor

  • Mr Zhihao Lin (2023-), Vision-based robot control
  • Mr Peizhuo Yu (2022-), Robot navigation in human-shared environment

Second supervisor

Teaching

MSc Control Engineering:

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

    Find out more about Dr Lan through:

 


Jianglin Lan