Projects per year
Personal profile
Biography
I joined Monash’s Department of Electrical and Computer Systems Engineering (ECSE) in August 2018. Before joining Monash University, I spent 5 wonderful years at Canberra Research Laboratory-NICTA, working with prof. Richard Hartley and prof. Fatih Porikli. Prior to that, I worked at Queensland Research Laboratory-NICTA with Prof. Brian Lovell. I was also a contributing research scientist at the Machine Learning Research Group (MLRG) Data61-CSIROand an associated investigator at Australian Center for Robotic Vision (ACRV).
I am interested in various aspects of learning, especially with a flavor of visual data. 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.
Visit my personal webpage to get a feel for the type of research I do.
My Erdos path reads as Mehrtash Harandi -> Richard Hartley -> Marc Kilgour -> Peter C. Fishburn -> Paul Erdos.
Supervision interests
I always look for motivated and hard-working students who are interested in doing research with me. You can read some of my papers (click here) to get a feel for the type of work that I do. I encourage students to contact me but
You must have good mathematical and computational skills, preferably with prior experience in machine learning and/or computer vision. Strong programming skills in Matlab and Python are also necessary. When contacting me, include a copy of your academic transcripts.
Monash teaching commitment
Advanced Engineering Data Analysis (ENG5001/6001)
Neural Networks and Deep Learning (ECE4179/ECE5179/ECE6179)
Computer Vision (ECE4076/5176)
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):
External positions
Contributing Scientist, CSIRO - Data61 (Victoria)
1 Aug 2018 → …
Research area keywords
- Machine Learning
- Deep Learning
- Computer vision, image and signal processing
Network
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Exploiting Geometries of Learning for Fast, Adaptive and Robust AI
Phung, D., Tafazzoli Harandi, M., Hartley, R., Le, T. & Koniusz, P.
Australian Research Council (ARC)
8/05/23 → 7/05/26
Project: Research
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Lifelong Learning for Composites Manufacturing
Milani, A., Tafazzoli Harandi, M., Narayan, A., Seethaler, R., Hendijani Fard, F., Kamgarpour, M. & Gopaluni, B.
31/03/20 → 30/03/22
Project: Research
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Trustworthy Learning from Limited Data in Machine Learning and Computer Vision (Data61 CRP #41)
Tafazzoli Harandi, M., Drummond, T. & Knight, K.
1/08/18 → 31/07/22
Project: Research
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Curvature-adaptive meta-learning for fast adaptation to manifold data
Gao, Z., Wu, Y., Harandi, M. T. & Jia, Y., 1 Feb 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 24, 2, p. 1545-1562 18 p.Research output: Contribution to journal › Article › Research › peer-review
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LAVA: Label-efficient Visual Learning and Adaptation
Nassar, I., Hayat, M., Abbasnejad, E., Rezatofighi, H., Harandi, M. & Haffari, G., 2023, Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 147-156 10 p. (Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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A robust volumetric Transformer for accurate 3D tumor segmentation
Peiris, H., Hayat, M., Chen, Z., Egan, G. & Harandi, M., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference Singapore, September 18–22, 2022 Proceedings, Part V. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Cham Switzerland: Springer, p. 162-172 11 p. (Lecture Notes in Computer Science; vol. 13435).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
3 Citations (Scopus) -
Attention in Attention Networks for person retrieval
Fang, P., Zhou, J., Roy, S. KUMAR., Ji, P., Petersson, L. & Harandi, M. T., 1 Sep 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 9, p. 4626-4641 16 p.Research output: Contribution to journal › Article › Research › peer-review
11 Citations (Scopus) -
Domain neural adaptation
Chen, S., Hong, Z., Harandi, M. & Yang, X., 8 Mar 2022, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems. 12 p.Research output: Contribution to journal › Article › Research › peer-review
5 Citations (Scopus)
Prizes
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Best Recognition Paper in IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2013.
Tafazzoli Harandi, Mehrtash (Recipient), 2013
Prize: Prize (including medals and awards)
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NICTA impact award, 2015
Tafazzoli Harandi, Mehrtash (Recipient), 2015
Prize: Prize (including medals and awards)
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Outstanding reviewer, Asian Conference on Computer Vision, 2014
Tafazzoli Harandi, Mehrtash (Recipient), 2014
Prize: National/international honour
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Outstanding reviewer, International Conference on Computer Vision
Tafazzoli Harandi, Mehrtash (Recipient), 1 Nov 2019
Prize: Prize (including medals and awards)
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Outstanding reviewer, International Conference on Computer Vision, 2015
Tafazzoli Harandi, Mehrtash (Recipient), 2015
Prize: National/international honour
Activities
- 3 Editorial responsibility
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IET Computer Vision (Journal)
Mehrtash Tafazzoli Harandi (Editor in chief)
30 Jan 2020 → 31 Dec 2022Activity: Publication peer-review and editorial work types › Editorial responsibility
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Journal of Imaging (Journal)
Mehrtash Tafazzoli Harandi (Editor in chief)
30 Jul 2020 → …Activity: Publication peer-review and editorial work types › Editorial responsibility
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IET Computer Vision (Journal)
Mehrtash Tafazzoli Harandi (Editor in chief)
30 Jan 2020 → 31 Dec 2022Activity: Publication peer-review and editorial work types › Editorial responsibility
Press/Media
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'Deep fakes': How to know what's true in the fake-Obama video era
4/03/18
1 Media contribution
Press/Media: Expert Comment