Mehrtash Tafazzoli Harandi

Senior Lecturer, Electrical and Computer Systems Engineering

https://orcid.org/0000-0002-6937-6300

EmailMehrtash.Harandi@monash.edu

Accepting PhD Students

Research output per year

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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

53 Conference Paper
18 Article
6 Chapter (Book)
2 Paper
1 More
- 1 Conference article

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 proceeding › Conference Paper › Research

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 proceeding › Conference Paper › Research › peer-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 journal › Article › Research › peer-review