- Computer and robotic vision, including geometric, semantic and dynamic scene understanding
- Machine learning and optimization, including deep learning and differentiable optimization
- Structured prediction and visual perceptionEducation:
PhD, Electrical Engineering, 2010, Stanford University
Stephen Gould is a Professor of Computer Science at the Australian National University (ANU). He is a former ARC Postdoctoral Fellow and Microsoft Faculty Fellow, Contributed Researcher to the Data61 Machine Learning group and Principal Research Scientist at Amazon Inc. He is currently a Chief Investigator and the ANU Node Director of the Australian Research Council Centre of Excellence in Robotic Vision, and ARC Future Fellow.
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 PhD studies and earned his PhD degree in Electrical Engineering from Stanford University 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.