Our mission is to advance AI and robotics by creating intelligent, secure, and ethical systems. We prioritize safety, reliability, and real-world resilience to maximize positive societal impact.
Dr. Jianglin Lan
Leverhulme Early Career Fellow & Lecturer in Autonomous Systems
Division of Autonomous Systems and Connectivity, James Watt School of Engineering
Email: Jianglin.Lan[at]glasgow.ac.uk
Personal Website | Google Scholar Profile
Our work spans several key areas of AI and robotics, including:
Our team is actively involved in collaborative research across these domains, supported by funding from prestigious organizations, including the Leverhulme Trust and Royal Society.
28 November 2024
Dr Lan became IFAC SAFEPROCESS Technical Committee Member.
14 November 2024
We are delighted to join TransiT, a UK research hub dedicated to digital twinning for transport decarbonisation.
01 October 2024
Welcome new PhD student Lin Wu, funded by EPSRC.
28 September 2024
Paper on Simultaneous Localization and Multimode Mapping published in Pattern Recognition
17 September 2024
Dr Lan is on 2023 Stanford Top 2% Scientists List in “Industrial Engineering & Automation”
12 September 2024
Dr Lan became a PhD supervisor for RAINZ, EPSRC CDT in Robotics and AI for Net Zero.
05 August 2024
Paper on data-driven CACC accepted by IET Intelligent Transport Systems.
16 July 2024
Extended abstract on learning-based automated driving on ramps accepted at ICRA@40.