Professor David Hogg

Profile

David Hogg is Professor of Artificial Intelligence at the University of Leeds. He is internationally recognized for his work on computer vision, particularly in the areas of video analysis and activity recognition. He works extensively across disciplinary boundaries, and over the past ten years has collaborated closely with researchers in design engineering and the performing arts. He has been a visiting professor at the MIT Media Lab, Pro-Vice-Chancellor for Research and Innovation at the University of Leeds (2011-2016), Chair of the ICT Strategic Advisory Team at the Engineering and Physical Sciences Research Council (EPSRC) in the UK, and Chair of an international review panel for Robotics and Artificial Intelligence commissioned by EPSRC (2017). Until 2018, he was Chair of the Academic Advisory Group of the Worldwide Universities Network (WUN), helping to promote collaborative research between over 20 prominent research intensive universities from around the globe. He is Director of the UKRI Centre for Doctoral Training in AI for Medical Diagnosis and Care; and a Co-Director of the Northern Pathology Imaging Co-operative. David is a 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.

A recent short talk on AI in the Public Sector

Responsibilities

  • Director of Artificial Intelligence research theme

Research interests

David pioneered the use of three-dimensional geometric models for tracking flexible structures (e.g. the human body) in natural scenes, and contributed to establishing statistical approaches to learning of shape and motion as one of the pre-eminent paradigms in the field. Current research is on representation and learning of activities from video, specifically models of interaction, and applications of machine learning in science and engineering. Part of this work is exploring the integration of vision within a broader cognitive framework that includes audition, language, action, and reasoning.

David is Director of the Artificial Intelligence research theme in the School of Computing, and Lab Director of the Computer Vision group.

Qualifications

  • BSc Applied Mathematics, Warwick, 1975
  • MSc Computer Science, Western Ontario, 1976
  • DPhil, Sussex, 1984

Professional memberships

  • IEEE Computer Society
  • British Machine Vision Association (BMVA)
  • The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)
  • International Association of Pattern Recognition (IAPR)

Student education

I teach in the School of Computing in the general area of Computer Vision.

Research groups and institutes

  • Artificial Intelligence

Publications:

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