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Personal profile

Biography

Hamid Rezatofighi is a lecturer at the Faculty of Information Technology, Monash University, Australia. Before that, he was an Endeavour Research Fellow at the Stanford Vision Lab (SVL), Stanford University, and a Senior Research Fellow at the Australian Institute for Machine Learning (AIML), the University of Adelaide. He received his PhD from the Australian National University in 2015.  He has published over 50 top tier papers in computer vision, AI and machine learning, robotics, medical imaging and signal processing, and has been awarded several grants including the recent ARC discovery 2020 grant. He served as the publication chair in ACCV18 and as one of the area chairs in CVPR20 and WACV21. His research interest includes vision-based perception tasks, esp. those that are required for an autonomous robot to navigate in a human environment, such as object/person detection, multiple object/people tracking, social trajectory forecasting, social activity and human pose prediction and autonomous social robot planning.  He has also research expertise in Bayesian filtering, estimation and learning using point process and finite set statistics and is a pioneer in an emerging field in machine learning, known as set learning using deep neural networks.

Education/Academic qualification

Computer Science, PhD, Australian National University

18 Mar 20111 Jul 2014

Award Date: 17 Jul 2015

Electrical Engineering - Biomedical Engineering, Master, University of Tehran

30 Sep 200628 Feb 2009

Award Date: 28 Feb 2009

Research area keywords

  • Computer Vision
  • Machine Learning
  • Deep Learning
  • Robotics
  • Medical Image Understanding

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