Dr Jianglin Lan

Leverhulme Early Career Fellow (Autonomous Systems & Connectivity)
Affiliate (School of Engineering)

email: Jianglin.Lan@glasgow.ac.uk

ORCID iD https://orcid.org/0000-0001-9057-5649

Biography

Work Experience:

Leverhulme Early Career Fellow and Proleptic Lecturer in Autonomous Systems, University of Glasgow, May 2022 - 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: 2022 | 2021

Number of items: 4.

2022

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)

Lan, J. and Patton, R. (2022) An iterative strategy for robust integration of fault estimation and fault-tolerant control. Automatica, (Accepted for Publication)

2021

Lan, J. , Zhao, D. and Tian, D. (2021) Data-driven robust predictive control for mixed vehicle platoons using noisy measurement. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/TITS.2021.3128406) (Early Online Publication)

Yang, J., Zhao, D. , Jiang, J., Lan, J. , Mason, B., Tian, D. and Li, L. (2021) A less-disturbed ecological driving strategy for connected and automated vehicles. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2021.3112499) (Early Online Publication)

This list was generated on Tue Aug 9 01:09:51 2022 BST.

Jump to: Articles

Number of items: 4.

Articles

Lan, J. and Patton, R. (2022) An iterative strategy for robust integration of fault estimation and fault-tolerant control. Automatica, (Accepted for Publication)

This list was generated on Tue Aug 9 01:09:51 2022 BST.

Grants

Leverhulme Trust Early Career Fellowship & UofG LKAS Leadership Fellowship, "Decarbonising Machine Learning for Safe and Robust Autonomous Systems", PI, £383k, 2022-2025

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!

Current PhD students:

Mr Qikun Chen (2022-), Causal decision making of autonomous systems (Second Supervisor)
Mr Yang Liu (2022-), Multi-sensor fusion of autonomous vehicles (Second Supervisor)
Mr Harikrishnan Vijayakumar (2019-), Safe decision making of autonomous vehicles (Second Supervisor)

Professional activities & recognition

Research fellowships

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

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.
Research collaborations:

Imperial College London, UK
University of Hull, UK
University of California San Diego, USA

Find out more about Dr Lan through:

Jianglin Lan

James Watt School of Engineering