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Personal profile


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.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Computer Science, PhD, Bayesian Multi-Target Tracking in Time-Lapse Fluorescence Microscopy Sequences, Australian National University (ANU)

18 Mar 20111 Jul 2014

Award Date: 17 Jul 2015

Electrical Engineering - Biomedical Engineering, Master, Automatic Recognition of White Blood Cells in Hematological Images, University of Tehran

30 Sept 200628 Feb 2009

Award Date: 28 Feb 2009

Research area keywords

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

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or