Dr. Mehrtash Harandi

Associate Professor

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Biography

Mehrtash Harandi joined Monash University’s Department of Electrical and Computer Systems Engineering in August 2018. Previously, he spent five years at the Canberra Research Laboratory-NICTA, where he worked with Professor Richard Hartley and Professor Fatih Porikli. Before that, he was associated with the Queensland Research Laboratory-NICTA under Professor Brian Lovell. His research focuses on aspects of learning, particularly visual data. He is actively involved as a research scientist in the Machine Learning Research Group (MLRG) at Data61-CSIRO and collaborates with the Australian Center for Robotic Vision (ACRV). Harandi has served as an associate editor for several journals and regularly reviews papers for top-tier conferences in machine learning, computer vision, and related fields. His teaching responsibilities at Monash include courses on Advanced Engineering Data Analysis, Neural Networks and Deep Learning, and Computer Vision. Furthermore, he is interested in supervising motivated students with strong mathematical and programming skills, preferably with experience in machine learning and computer vision.

Research Interests

Experience

Associate Professor

2018-08-01 — Present

Monash University • Melbourne, Australia

Conducting research and teaching in electrical and computer systems engineering.

Awards

#

Outstanding Reviewer

2019-11-01
#2015

NICTA Impact Award

2015-01-01
#

Prize

2013-01-01

Courses

Advanced Engineering Data Analysis Neural Networks and Deep Learning Computer Vision

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.