Jianglin Lan
I am a Leverhulme Early Career Fellow and Lecturer in Autonomous Systems at the Division of Autonomous Systems and Connectivity, James Watt School of Engineering, University of Glasgow.
Address: James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Email: Jianglin.Lan[at]glasgow.ac.uk
I am always looking for highly motivated PhD candidates/visiting students/visiting scholars. PhD Application details are here. A list of Scholarships (open at different dates across the year) is here. Self-funded students are also welcome. If you are interested, email me your CV & transcripts. I am receiving a large volume of enquiries, so only the suitable candidates will be contacted within a week.
Research Interest
My research interests include:
Machine learning, optimization, control, and fault tolerance of autonomous systems.
Safe and trustworthy autonomy.
Autonomous vehicls, network systems, and robotics.
News
09/2023: Paper "A Holistic Safe Planner for Automated Driving Considering Interaction with Human Drivers" was accepted by IEEE TIV.
09/2023: Paper "Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation" was accepted at ACML 2023.
07/2023: Paper "Data-driven dual-loop control for platooning mixed human-driven and automated vehicles" was accepted by IET Intelligent Transport Systems.
06/2023: Paper "A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification" was accepted to present at the workshop FoMLAS 2023.
03/2023: Paper "Safety Monitoring and Alert for Neural Network-Enabled Control Systems" was accepted to IFAC World Congress 2023.
12/2022: Paper "Finding the LQR Weights to Ensure the Associated Riccati Equations Admit a Common Solution" was accepted by IEEE TAC.
12/2022: I gave an invited talk (virtual) on mixed vehicle platoon at Southeast University, China.
11/2022: Two papers on neural network verification were accepted as oral presentations to AAAI-2023.
09/2022: Our paper "Safe and robust data-driven cooperative control policy for mixed vehicle platoons" was accepted by IJRNC.
06/2022: Our paper "An iterative strategy for robust integration of fault estimation and fault-tolerant control" was accepted by Automatica.
06/2022: Our paper "Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations" was accepted to present at the workshop FoMLAS 2022.
06/2022: I attended the Connected Autonomous Systems Workshop at University of Glasgow.
06/2022: I gave an invited talk (virtually) on "Data-Driven Robust Predictive Control for Mixed Vehicle Platoons using Noisy Measurement" at Shanghai University.
12/2021: Our paper "Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations" was accepted to AAAI-22, whose overall acceptance rate is only 15%.
11/2021: Our paper "Data-Driven Robust Predictive Control for Mixed Vehicle Platoons using Noisy Measurement" was accepted by IEEE T-ITS.
08/2021: Thrilled to receive the Leverhulme Trust Early Career Fellowship!
05/2021: I started the Research Associate position at Imperial College London.
12/2020: The monograph "Robust integration of model-based fault estimation and fault-tolerant control" was published by Springer. Click to view the details.
09/2020: Our paper "Min-max model predictive vehicle platooning with communication delay" was accepted by IEEE TVT.
08/2020: Our paper "Robust model predictive control for nonlinear parameter varying systems without computational delay" was accepted by IJRNC.
02/2020: Our paper "Low-Latency Robust MPC for CACC under Variable Road Geometry" was accepted to IFAC World Congress 2020.
01/2020: Our paper "Robust Cooperative Adaptive Cruise Control of Vehicles on Banked and Curved Roads with Sensor Bias" was accepted to ACC 2020.