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Associate Professor
Department of Electrical and Computer Systems Eng., Monash University
Address: 232, Eng. Building 72, 14 Alliance lane, Clayton, Melbourne, VIC, Australia
e-mail: mehrtash (döt) harandi (ät) monash (döt) edu
About me
I joined Monash’s Department of Electrical and Computer Systems Engineering (ECSE) in August 2018. Before joining Monash University, I spent five wonderful years at Canberra Research Laboratory-NICTA, working with Prof. Richard Hartley and Prof. Fatih Porikli. Before that, I worked at Queensland Research Laboratory-NICTA with Prof. Brian Lovell.
I am interested in various aspects of learning, especially with a flavor of visual data (see my google scholar page). I am an associate editor of the IET-CV, Frontiers In Imaging, and Journal of Imaging and regularly review papers for top conferences and journals in ML/CV, including CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, IEEE TPAMI, IEEE TNNLS, IEEE TIP.
Teaching
Neural Networks and Deep Learning, Monash University, 2019↝
Probability and AI for Engineers, Monash University, 2024↝
Computer Vision, Monash University, 2022↝2023
Advanced Engineering Data Analysis, Monash University, 2019-2022
Engineering Data Analytics, Australian National University, 2016-2018
Signal and Image Processing II, The University of Queensland, 2010-2012
Grants and Awards
ARC, Can Machines Unlearn? Toward Next-Generation Safe Artificial Intelligence (with Prof. Phung, Prof. Cai, Dr. Le, and Dr. Zhang), A$790k, 2025-2028
US Air Force Research Laboratory, Generalizing Model Adaptation with Geometry: Applications in Model Fine-tuning, Editing, and Personalized AI, A$185k, 2025-2026
ARC, Exploiting Geometries of Learning for Fast, Adaptive and Robust AI (with Prof. Hartley, Prof. Phung and Dr. Le), A$420k, 2023-2025
DARPA, Learning to Learn and Adapt with Less Labels, A$3,260k, 2019-2023
Data61-CSIRO, Trustworthy Learning from Limited Data, A$555k, 2018-2022
NFRFE, AI architectures for reliable prediction and optimization of advanced manufacturing processes (with Prof. A. Milani (UBC)), A$275k, 2020-2021
ARC, Semantic Vectorisation: From Bitmaps to Intelligent Representations (with Prof. Porikli), A$385k, 2015-2019
News
Three papers accepted to CVPR; congratulations to Isaac, Chengyao, Henry, and the team.
Six papers accepted to ICLR; congratulations to Quoc, Wu, Zeeshan, Chaofan, Haocheng, Van-Anh, and the team.
Two papers accepted to AAAI (Oral presentations); congratulations to Nilakshan, Yihang, and the team.
Serving as an AC for ICLR'26, and NeurIPS'26, and AE for TMLR
Four papers accepted to NeurIPS'25; congratulations to Chaofan, Haocheng, Tue, Van-Anh, and the team.
Our work on hyperbolic neural networks has been accepted to IJCV; congratulations to Xiaomeng, and Prof. Zhi, Prof. Wu, and Prof. Jia.
Two papers have been accepted to ICCV'25; congratulations to Jing, Chengyao and Dr. Trung Le.
Our work on machine unlearning in diffusion models has been accepted to CVPR'25; congratulations to Jing and the team.
Our work on compressing 3D Gaussian splitting has been accepted to ICLR'25; congratulations to Yihang and the team.
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