Bio

David Hogg is Professor of Artificial Intelligence at the University of Leeds. He has a BSc in Applied Mathematics from the University of Warwick, an MSc in Computer Science from the University of Western Ontario, and gained a PhD at the University of Sussex in 1984. His research is primarily on computer vision, particularly in the area of activity analysis. He works extensively across disciplinary boundaries, applying AI in engineering design, biology, and medicine.

He has been Pro-Vice-Chancellor for Research and Innovation at Leeds, visiting professor at the MIT Media Lab, chair of the EPSRC ICT Strategic Advisory Team, and chair of an international review panel on the EPSRC portfolio in Robotics and Autonomous Systems. Until 2018, he led iV&L Net, a major EU network on the integration of vision and language, and was chair of the Academic Advisory Group of the Worldwide Universities Network. He is a Turing Fellow, Fellow of the European Association for Artificial Intelligence (EurAI), a Distinguished Fellow of the British Machine Vision Association, and a Fellow of the International Association for Pattern Recognition.

Research interests

David's research involves working closely with a number of domain specialists in applying machine learning and AI to a wide range of scientific and humanities problems with high potential for societal and economic impact. Existing collaborations include: (1) smart assistance in manufacturing design, simplifying and removing cost from product lifecycles; and (2) 3D motion analysis of worms, contributing to a holistic understanding of their biology, genetics, neural and physical mechanisms, with high potential impact on the design of soft robotics. There is high potential within these different problem areas for the application of recent methods using deep learning. The challenge is in selecting and applying methods in an appropriate fashion, contributing at the same time to our understanding of machine learning and AI.