20142018
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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 → …

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 2014 2018

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

Large-scale metric learning: a voyage from shallow to deep

Faraki, M., Harandi, M. T. & Porikli, F., Sep 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 9, p. 4339-4346 8 p.

Research output: Contribution to journalArticleResearchpeer-review

Constrained Stochastic Gradient Descent: The Good Practice

Roy, S. K. & Harandi, M., 19 Dec 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017). Guo, Y., Li, H., Cai, T. & Murshed, M. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 8 p.

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

Efficient optimization for linear dynamical systems with applications to clustering and sparse coding

Huang, W., Harandi, M., Zhang, T., Fan, L., Sun, F. & Huang, J., 1 Jan 2017, NIPS Proceedings: Advances in Neural Information Processing Systems 30 (NIPS 2017). Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). La Jolla CA USA: Neural Information Processing Systems (NIPS), p. 3445-3455 11 p. (Advances in Neural Information Processing Systems).

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

Open Access
File

Generalized rank pooling for activity recognition

Cherian, A., Fernando, B., Harandi, M. & Gould, S., 6 Nov 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) . Rehg, J., Liu, Y., Wu, Y. & Taylor, C. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1581-1590 10 p.

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

Press / Media