Senior Lecturer
Department of Electrical and Computer Systems Eng., Monash University 

232, Eng. Building 72, 14 Alliance lane, Clayton
Melbourne, VIC
Australia

e-mail
mehrtash (döt) harandi (ät) monash (döt) edu




About me


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 at the Machine Learning Research Group (MLRG) Data61-CSIRO and an associated investigator at Australian Center for Robotic Vision (ACRV).

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 am interested in various aspects of learning, especially with a flavor of visual data (see my google scholar page).


Team

    Current Students

 Mr. Soumava Kumar Roy PhD 2016↝  

 Mr. Yao Lu PhD 2017↝  

 Mr. Nicholas Kuo PhD 2017↝  Cosupervised with Hanna, Christian and Gabriela

 Mr. Chritian Simon PhD 2018↝  Cosupervised with Dr. Piotr Koniusz

 Ms. Jing Zhang PhD 2018↝  Cosupervised with Dr. Yuchao Dai and Prof. Richard Hartley

 Mr. Pengfei Fang PhD 2018↝  Cosupervised with Dr. Lars Petersson

 Ms. Yan Han PhD 2018↝  Cosupervised with Dr. Lars Petersson

 Mr. Rongkai Ma PhD 2019↝  Cosupervised with Prof. Tom Drummond

 Ms. Xuelian Cheng PhD 2019↝  Cosupervised with Dr. Zongyuan Ge

 Mr. Jie Hong PhD 2019↝  Cosupervised with Dr. Lars Petersson

    Former Students


 Dr. Masoud Faraki PhD 2014↝2017 Now at NEC labs, San Jose, California

 Dr. Samitha Herath PhD 2016↝2019  Now at Monash University, Melbourne


If you are interested in the
Monash doctoral program
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.

International students. There are two scholarship rounds each year,  the main round closes at the end of August. If you want to apply under my supervision, you need to contact me well in-advance (say 6weeks ahead).  

This year, I do not accept interns :-(

Teaching

  1. Neural Networks and Deep Learning, Monash University 2019
  2. Engineering Data Analytics, Australian National University (2016-2018)
  3. Signal and Image Processing II, The University of Queensland (2010-2012)
Grants and Awards

  • Data61-CSIRO, Trustworthy Learning from Limited Data, A$555k, 2018-2022 
  • ARC, Semantic Vectorisation: From Bitmaps to Intelligent Representations (with Prof. Fatih Porikli), A$385k, 2015-2019

News


  • Two papers accepted to AAAI'20, congratulations to Ujjal and Zhi.
  • Outstanding reviewer, ICCV'19
  • Our work on training Siamese networks is accepted as an oral paper to ICCV'19, congratulations to Soumava.
  • Our work on attention mechanism is accepted to ICCV, congratulations to Pengfei, Jim and Soumava.  
  • Our new work on matching SPD matrices is accepted to TNNLS, congratulations to Zhi.
  • Our work on recognizing actions from still images is accepted to PR, congratulations to Samitha.
  • Our work on deep subspace clustering is accepted to ICML'19, congratulations to Tong.
  • Our work on deep statistical alignment is accepted to CVPR'19, congratulations to Samitha