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). I
am an associate editor of the IET-CV 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

Team

    Current Students







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

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

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

 Mr. Jieming Zhou PhD ANU 2019↝  Cosupervised with Dr. Lars Petersson

 Ms. Xiaofeng Li PhD ANU 2021↝  Cosupervised with Dr. Lars Petersson



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

 Ms. Xuelian Cheng PhD Monash University 2019↝  Cosupervised with Dr. Zongyuan Ge and Prof. Tom Drummond

 Mr. Kaushik Roy PhD Monash University 2020↝  Cosupervised with Dr. Peyman Moghadam

 Ms. Himashi Edirisinghe Peiris PhD Monash University 2020↝  Cosupervised with Dr. Zhaolin Chen and Prof. Gary Egan

 Mr. Walter Liao PhD Monash University 2021↝  Cosupervised with Dr. Zongyuan Ge

 Ms. Jing Wu PhD Monash 2021↝  Cosupervised with Dr. Munawar Hayat

    Former Students


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

 Dr. Samitha Herath PhD 2016↝2020 Now at Monash University, Melbourne

 Dr. Tong Zhang PhD 2016↝2020 Now at EPFL, Lausanne

 Dr. Soumava Roy Kumar PhD 2016↝2020 Now at EPFL, Lausanne

 Dr. Nicholas Kuo PhD 2017↝2021 Now at UNSW, Sydney


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. Advanced Engineering Data Analysis, Monash University, 2019
  3. Engineering Data Analytics, Australian National University, 2016-2018
  4. 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
  • NFRFE, AI architectures for reliable prediction and optimization of advanced manufacturing processes (with Prof. A. Milani (UBC)), A$275k, 2020-2021
  • ARC, Semantic Vectorisation: From Bitmaps to Intelligent Representations (with Prof. Fatih Porikli), A$385k, 2015-2019

News

  • Outstanding reviewer, CVPR'21
  • Our work on learning with noisy labels is accepted to Image and Vision Computing (IVC). Congratulations to Yan and Soumava
  • Our work on Log-Determinant divergences is accepted to TPAMI. Congratulations to Anoop.
  • Our work on attention mechanism is accepted to TPAMI. Congratulations to Pengfei.
  • Three papers accepted to CVPR'21, congratulations to Christian, Ali and Jie.
  • Our work on saliency detection is accepted to TPAMI. Congratulations to Jing and Tong.
  • Our work on neural architecture search for dense correspondence problems is accepted to NeurIPS. Congratulations to Xuelian and Yiran.
  • Our work on semi-supervised metric learning is accepted to AAAI'21, congratulations to Ujjal.
  • Our work on gradient-free Riemannian optimizer is accepted to AAAI'21, congratulations to Fan and Zhi.
  • Our new work on matching distributions for domain adaptation is accepted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Congratulations to Sentao.
  • Our work on domain adaptation is accepted to IEEE Transactions on Image Processing (TIP). Congratulations to Sentao.
  • Our work on few shot learning is accepted to ECCV. Congratulations to Christian.