Hamid Rezatofighi

Assoc Professor

Accepting PhD Students

20082025

Research activity per year

Personal profile

Biography

Dr. Hamid Rezatofighi is an Associate Professor in the Faculty of Information Technology at Monash University, Australia. His research spans computer vision, machine learning, and robotics, with notable contributions to advancing robot visual perception in dynamic environments. Previously, he was an Endeavour Research Fellow at Stanford's Vision and Learning Lab (SVL) and a Senior Research Fellow at the Australian Institute for Machine Learning (AIML) at the University of Adelaide. Dr. Rezatofighi completed his Ph.D. at the Australian National University in 2015. He has authored 100+ publications, including more than 25 high-quality journal articles and over 60 contributions to premier conferences such as CVPR, ECCV, ICCV, NeurIPS, AAAI, IJCAI, ICRA, and IROS. His work has received over 16,000 citations, with 15 of his papers (four as first author) cited more than 100 times, and three exceeding 1,000 citations. Since 2020, he has served as an area chair for major conferences (CVPR, NeurIPS, ECCV, ICCV, IJCAI, and IROS) and holds positions as a Senior Associate Editor for IEEE Transactions on Image Processing and as an Associate Editor for the Artificial Intelligence Journal. These roles reflect his active engagement in the academic community. Over the past four years, Dr. Rezatofighi has secured more than $17 million in research funding, including significant grants from three DARPA projects (one as Lead PI, two as co-PI) and as lead CI for an ARC Discovery Project. His ongoing work continues to drive innovations in computer vision and robotics.

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
  • Robot Vision
  • Robot Perception
  • Robotics
  • Deep Learning
  • Machine Learning

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