Centre Executive Committee

Peter Corke is a Distinguished Professor at the Queensland University of Technology (QUT), director of the ARC Centre of Excellence for Robotic Vision, and director of the QUT Centre for Robotics.  He is a Fellow of the IEEE, the Australian Academy of Science and the Australian Academy of Technology and Engineering.  He is a co-founder of the Journal of Field Robotics, member of the editorial board of the Springer STAR series, former Editor-in-Chief of the IEEE Robotics and Automation magazine and former member of the editorial board of the International Journal of Robotics Research. He has over 500 publications in the field, an h-index of 77 and over 30,000 citations. He has held visiting positions at the University of Pennsylvania, University of Illinois at Urbana-Champaign, Carnegie-Mellon University Robotics Institute, and Oxford University.  Peter created the MATLAB and Python Toolboxes for Robotics and Machine Vision, is the author of the popular textbook “Robotics, Vision & Control”, created the Robot Academy repository of open online lessons, and was named the 2017 Australian University Teacher of the Year by the Australian Government’s Department of Education and Training.  In 2020 he was awarded the prestigious IEEE Robotics and Automation Society George Saridis Leadership Award in Robotics and Automation. He is Chief Scientist for Dorabot and advisor to LYRO Robotics. His interests include visual-control of robots and the application of robots to problems such as large-scale environmental monitoring and agriculture, internet-based approaches to teaching at scale, open-source software development and writing.

Ian Reid is a Professor and the Head of the School of Computer Science at the University of Adelaide.  He is also Deputy Director of the ARC Centre of Excellence for Robotic Vision as well as the Centre’s Adelaide University Node Leader.  He is a Fellow of the Australian Academy of Technological Sciences and Engineering (ATSE), former Rhodes Scholar, and held an Australian Laureate Fellowship 2013-2018.

His research interests range across computer vision and are currently focused on life-long visual learning, and developing high-level representations for image and video understanding, especially those that can be computed and queried sufficiently rapidly to enable real-time robotic decision making and control. He has previous published widely in areas such as active vision, visual SLAM, visual geometry, human motion capture and intelligent visual surveillance. He has published widely on these topics in major journals and conferences, with more than 33,000 citations and a h-index of 86.

He is a member of the Australian Academy of Science (AAS) National Committee for Information and Communication Sciences, and was General Chair for the 14th Asian Conference on Computer Vision (ACCV) held in Perth, Australia in December 2018. He has previously served on the editorial boards of IEEE T-PAMI, Computer Vision and Image Understanding, and Image and Vision Computing Journal, and has led a number of EU, UK and Australian Research Council sponsored research projects.

Katrina Tune is the Centre’s Chief Operating Officer, holding responsibility for and oversight of the Centre’s operations. As a member of the Centre’s Executive Committee she also contributes to the Centre’s strategy. Katrina enjoys the variety involved in the Chief Operating Officer role as well as the ability to support and enable world class research through responsible, efficient and effective business services

Katrina is passionate about transformational leadership, organisational culture, equity and diversity in the workplace, and trying to find the fun wherever possible. She is also a Director on the Board of Epilepsy Queensland.

Stephen Gould is a Professor in the Research School of Computer Science at ANU. He is also the ANU Node Leader and sits on the Executive Committee of the ARC Centre of Excellence for Robotic Vision.

He 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 and his PhD, also from Stanford in 2010. He then worked in industry for a number of years where he co-founded Sensory Networks, which sold to Intel in 2013. His research interests include computer and robotic vision, machine learning, probabilistic graphical models, deep learning and optimisation.

In 2017 Steve spent a year in Seattle leading a team of computer vision researchers and engineers at Amazon before returning to Australia in 2018.  He was awarded an ARC Future Fellowship in 2020 for the project, “Declarative Networks; Towards Robust and Explainable Deep Learning”.

Tom Drummond is a Professor and Head of the Department of Electrical and Computer Systems Engineering at Monash University. He is also the Monash Node Leader and sits on the Executive Committee of the ARC Centre of Excellence for Robotic Vision. He has been awarded the Könderink prize and the IEE International Symposium on Mixed and Augmented Reality (ISMAR) 10 year impact award.

He studied a BA in mathematics at the University of Cambridge.  In 1989 he emigrated to Australia and worked for CSIRO in Melbourne for four years before moving to Perth for his PhD in Computer Science at Curtin University.  In 1998 he returned to the University of Cambridge as a Postdoctoral Research Associate and in 1991 was appointed to the position of Lecturer.  In 2010 he returned to Melbourne and took up a Professorship at Monash University.  His research is principally in the field of real-time computer vision (ie processing of information from a video camera in a computer in real-time typically at frame rate), machine learning and robust methods. These have applications in augmented reality, robotics, assistive technologies for visually impaired users as well as medical imaging. During his time at both the University of Cambridge and Monash University he has been awarded research and industry grands in excess of $30M AUD.