Professor Tom Drummond

Professor Tom Drummond

Head of Department
Department of Electrical and Computer Systems Engineering
Room 118, 14 Alliance Lane, Clayton Campus

Professor Drummond is the Head of Department of Electrical and Computer Systems Engineering at Monash University, where he is also Chief Investigator and Monash Node Leader for the ARC Centre of Excellence in Robotic Vision. His research interests include High Performance Computing, Machine Learning and Computer Vision, with a particular emphasis on real-time systems for Augmented Reality, Robotics and Assistive Technologies.

He has been awarded the Könderink prize and the ISMAR 10 year impact award. At Monash University (and previously at the University of Cambridge), he has been awarded ARC and EU Framework research grants totalling in excess of $30M AUD as well as numerous funded industry collaborations.

He grew up in the UK and studied mathematics for his BA at the University of Cambridge. In 1989 he immigrated to Australia where he was employed at CSIRO for four years before relocating to Perth for his PhD in Computer Science at Curtin University. Professor Drummond returned to Cambridge in 1998 as a post-doctoral Research Associate. In 1991 he was appointed as a University Lecturer at Cambridge and was subsequently promoted to Senior University Lecturer. In 2010 he returned to Melbourne and took up a Professorship at Monash University.

Expertise

Computer Vision, Augmented Reality, Robotics, Machine Learning

Research Interests

Professor Tom Drummond’s 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). This has applications in augmented reality, robotics, assistive technologies for visually impaired users as well as medical imaging.

Research Projects

Current projects

ARC Centre of Excellence for Robotic Vision

Australia is a high-wage country with decreasing productivity in many sectors and robots will be vital to our future prosperity. However the nature of the workplaces, and the work itself, is unstructured and current day robots are seriously challenged by their inability to quickly and reliably perceive and understand their environment. Overcoming this fundamental technological road block can only be acheived through a concerted large-scale effort. The research program of the centre will create the technologies that allow robots to see as we do. overcoming the remaining barriers to the ubiquitous deployment of robots into society for the benefit of all.

Past projects

RGB-D sensors, embedded development boards and specialised electronics for project 'Self-organization in intelligent video sensor networks'

Research articles, papers & publications

See Tom’s research contributions through published book chapters, articles, journal papers and in the media.

Last modified: 21/06/2019