Dr Jianglin Lan he/him

As a Lecturer in Autonomous Systems and Leverhulme Early Career Fellow at the University of Glasgow, my research passion lies in developing safe, robust, and sustainable intelligent systems, particularly within autonomous driving, fault-tolerant control, and intelligent transportation. I lead the Artificial Intelligence and Robotics (AIR) research group, where we focus on model-based and data-driven control, safe reinforcement learning, and verification of neural network-enabled systems.

Our group actively works at the interface of control theory, machine learning, and robotics, with applications in autonomous vehicles, agri-tech, and intelligent energy systems. We have forged impactful collaborations across academia and industry, including Imperial College London, Wageningen University, Carnegie Mellon University, and LAMIH, France. I am especially keen to expand interdisciplinary partnerships in areas like agri-food automation, eco-safe mobility, and AI verification, particularly within CDT projects bridging AI, systems engineering, and sustainability.

I envision CDT projects that explore data-efficient learning, safe autonomy, and human-AI collaboration, drawing from control, learning theory, and real-world robotics. I am a supportive, outcomes-driven supervisor who tailors guidance to students’ goals—whether academic or industrial. Several of my students have gone on to publish in top journals and conferences, pursue PhDs, or join tech companies as engineers and researchers.

Committed to equity, diversity, and inclusion (EDI), I have reviewed PhD proposals and served on funding selection panels with fairness and transparency. I strive to build an inclusive lab environment and mentor students from diverse backgrounds, including international and first-generation scholars.

Beyond academia, I enjoy travel, sports, and movies, which offer creative balance and help me connect with diverse communities. My global academic journey—from China to the UK—has taught me the value of open-mindedness, resilience, and collaboration.

Through research, mentorship, and inclusive leadership, I aim to inspire the next generation of scientists solving real-world challenges with smart, safe, and ethical AI.