Rate Professor Tom Drummond

Professional Summary: Professor Tom Drummond

Professor Tom Drummond is a distinguished academic and researcher at the University of Melbourne, Australia, with a significant presence in the fields of computer vision, machine learning, and robotics. His work has contributed to advancements in real-time visual processing and augmented reality, establishing him as a leading figure in his domain.

Academic Background and Degrees

Professor Drummond holds advanced degrees in computer science and engineering, reflecting his deep expertise in computational technologies:

• Ph.D. in Computer Science, Curtin University, Australia (1998)
• B.A. (Hons) in Mathematics, University of Cambridge, UK (1989)

Research Specializations and Academic Interests

Professor Drummond’s research focuses on cutting-edge topics in computer vision and robotics, with particular emphasis on:

• Real-time computer vision and augmented reality
• Machine learning for visual recognition
• Robotics and autonomous systems
• Applications of vision systems in medical imaging and industrial automation

Career History and Appointments

Professor Drummond has held prestigious positions at leading institutions, showcasing a robust academic career:

• Professor, School of Computing and Information Systems, University of Melbourne, Australia (2014–present)
• ARC Laureate Fellow, University of Melbourne (2018–present)
• Associate Professor and Reader, Monash University, Australia (2002–2014)
• Research Associate, University of Cambridge, UK (1998–2002)

Major Awards, Fellowships, and Honors

Professor Drummond’s contributions have been recognized through numerous accolades:

• Australian Research Council (ARC) Laureate Fellowship (2018)
• Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for contributions to computer vision and robotics
• Recipient of multiple ARC Discovery Project Grants

Key Publications

Professor Drummond has authored and co-authored numerous influential papers and articles in high-impact journals and conferences. A selection of his notable works includes:

• Drummond, T., & Cipolla, R. 'Real-time visual tracking of complex structures.' IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)
• Klein, G., & Drummond, T. 'Sensor fusion and occlusion refinement for tablet-based AR.' Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality (2004)
• Williams, B., Klein, G., & Drummond, T. 'Automatic relocalisation for a single-camera simultaneous localisation and mapping system.' Proceedings of the IEEE International Conference on Robotics and Automation (2007)

Influence and Impact on Academic Field

Professor Drummond’s pioneering work in real-time computer vision has had a transformative impact on augmented reality and robotics. His research on simultaneous localization and mapping (SLAM) systems has been widely adopted in applications ranging from autonomous vehicles to mobile AR platforms. As an ARC Laureate Fellow, he continues to mentor emerging researchers and drive innovation in visual computing technologies at the University of Melbourne.

Public Lectures, Roles in Committees, and Editorial Contributions

Professor Drummond is actively involved in the academic community through various roles and contributions:

• Regular keynote speaker at international conferences on computer vision and robotics, including the International Conference on Computer Vision (ICCV)
• Member of program committees for leading conferences such as CVPR (Computer Vision and Pattern Recognition) and ECCV (European Conference on Computer Vision)
• Editorial board member and reviewer for prestigious journals in computer vision and machine learning