Professor Stephen Gould

Professor
ANU College of Engineering, Computing and Cybernetics
T: +61 2 6125 8642

Areas of expertise

  • Artificial Intelligence And Image Processing 0801
  • Computer Vision 080104
  • Adaptive Agents And Intelligent Robotics 080101
  • Optimisation 010303
  • Probability Theory 010404

Research interests

I have broad interests in computer and robotic vision, machine learning, probabilistic graphical models, and optimization. My main research focus is on the application of machine learning techniques (specifically, structured probablistic models and, more recently, deep learning) to geometric and semantic scene understanding. I am also interested in seeing research get used; I collaborate with industry and have previously been involved in founding start-up companies.

Biography

Stephen Gould is a Professor of Computer Science at the Australian National University (ANU) and an Australian Research Council (ARC) Future Fellow. He is a former ARC Postdoctoral Fellow, Microsoft Faculty Fellow, Contributed Researcher at Data61, Principal Research Scientist at Amazon Inc, Director of the ARC Centre of Excellence in Robotic Vision, and Amazon Scholar. Stephen received his BSc degree in mathematics and computer science and BE degree in electrical engineering from the University of Sydney in 1994 and 1996, respectively. He received his MS degree in electrical engineering from Stanford University in 1998. He then worked in industry for several years where he co-founded Sensory Networks, which later sold to Intel in 2013. In 2005 he returned to Stanford University and was awarded his PhD degree in 2010. In November 2010, he moved back to Australia to take up a faculty position at the ANU. Stephen has broad interests in the areas of computer and robotic vision, machine learning, deep learning, structured prediction, and optimization. He teaches courses on advanced machine learning, research methods in computer science, and the craft of computing. His main research focus is on automatic semantic, dynamic and geometric understanding of images and videos.

Available student projects

Plese see my webpage http://users.cecs.anu.edu.au/~sgould

Publications

Projects and Grants

Grants information is drawn from ARIES. To add or update Projects or Grants information please contact your College Research Office.

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Updated:  05 March 2024 / Responsible Officer:  Director (Research Services Division) / Page Contact:  Researchers