Bio
Hongkai Wen is an Independent Scientific Advisor with the BridgeAI programme at the Alan Turing institute. He is a Fellow of the institute and a member of the Turing Research Ethics (TREx) team. Hongkai is a Professor at the Department of Computer Science, the University of Warwick, and an academic lead of the Cyber Security Global Research Priorities at Warwick. Parallel to his academic roles, he is a Senior Research Scientist in Samsung AI Centre Cambridge. Previously he was a postdoctoral researcher with the Cyber-Physical Systems Group in the Department of Computer Science, University of Oxford, and he studied Computer Science at Keble College, Oxford.
Research interests
Hongkai’s research interests focus on developing new forms of intelligent systems that are capable of perceiving multi-modal data to work under complex real-world scenarios, while achieving extreme levels of efficiency. His research lies at the intersection of machine learning (ML) systems and data science, and primarily focuses on understanding the computational challenges of end-to-end ML systems from both algorithm and systems perspectives. His work has resulted in over 60 peer-reviewed papers in top international journals/conferences and led to some of the pioneer and most influential work in complex machine learning operating on mobile/robotics platforms with multi-modal sensor data. He has received several Best Paper Awards including AutoML 2023, IPSN 2014 and EWSN 2013.