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 60 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 an area chair in CVPR20, WACV21 and CVPR22. 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 & finite set statistics.