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Personal profile

Biography

I am a senior lecturer in the department of Electrical and Computer Systems Eng. (ECSE) at Monash University. I am also a contributing research scientist in the Machine Learning Research Group (MLRG) at Data61-CSIRO.

Having broad interests in machine learning, computer vision and signal processing, I develop algorithms and mathematical models to equip our machines with intelligence. Visit my personal webpage to get a 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)

Neural Networks and Deep Learning (ECE4079)

External positions

Contributing Scientist, CSIRO Data61

1 Aug 2018 → …

Research area keywords

  • Machine Learning
  • Deep Learning
  • Computer vision, image and signal processing

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2003 2019

Devon: deformable volume network for learning optical flow

Lu, Y., Valmadre, J., Wang, H., Kannala, J., Harandi, M. & Torr, P. H. S., 2019, Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8–14, 2018 Proceedings, Part VI. Leal-Taixé, L. & Roth, S. (eds.). Cham Switzerland: Springer, p. 673-677 5 p. (Lecture Notes in Computer Science; vol. 11134).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Scalable deep k-subspace clustering

Zhang, T., Ji, P., Harandi, M., Hartley, R. & Reid, I., 2019, Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision Perth, Australia, December 2–6, 2018 Revised Selected Papers, Part V. Jawahar, C. V., Li, H., Mori, G. & Schindler, K. (eds.). Cham Switzerland: Springer, p. 466-481 16 p. (Lecture Notes in Computer Science; vol. 11365).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Toward efficient action recognition: principal backpropagation for training two-stream networks

Huang, W., Fan, L., Harandi, M., Ma, L., Liu, H., Liu, W. & Gan, C., 1 Apr 2019, In : IEEE Transactions on Image Processing. 28, 4, p. 1773-1782 10 p., 8506444.

Research output: Contribution to journalArticleResearchpeer-review

Using temporal information for recognizing actions from still images

Herath, S., Fernando, B. & Harandi, M., 1 Dec 2019, In : Pattern Recognition. 96, 11 p., 106989.

Research output: Contribution to journalArticleResearchpeer-review

A comprehensive look at coding techniques on Riemannian manifolds

Faraki, M., Harandi, M. T. & Porikli, F., Nov 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 11, p. 5701-5712 12 p.

Research output: Contribution to journalArticleResearchpeer-review

Press / Media

'Deep fakes': How to know what's true in the fake-Obama video era

Mehrtash Harandi

4/03/18

1 Media contribution

Press/Media: Expert Comment