Dr Imran Razzak | UNSW Research

Imran Razzak a Senior Lecturer in Human-Centered Machine Learning, Postgraduate Coordinator Research (Admission and Scholarship) and Co-Coordinator (SE) at the School of Computer Science and Engineering at University of New South Wales, Sydney, Australia. Previously, he was a Senior Lecturer in Computer Science at Deakin University, Geelong (2019-2022) and assistant professor at King Saud bin Abdulaziz University for Health Sciences (2013-2017). Besides, he is Associate Editor of IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Computational Social System. He has served Chair/co-chair/SPC of dozens of Conferences. His research focus on connecting language and vision for better interpretation and spans over three broad areas: Machine Learning, Computer Vision and Natural Language Processing with special emphasis on healthcare.

You can find more about me at my personal webpage.

My Qualifications

PhD Analytics, University of Technology, Sydney, Australia

Graduate Certificate of Higher Education (Learning and Teaching), Deakin University, Geelong, Australia

My Awards

2022 Andrew P. Sage Transactions paper award (IEEE TCSS)
IEEE MDM 2022 best demo award

My Research Activities

Imran is currently involved in multiple research projects with internal and external collaborators on Machine Learning, Computer Vision and Natural Language Processing.

My Research Supervision

Supervision keywords

machine learning

deep learning

natural language processing

computer vision

biomedical research

big data for health

Areas of supervision

Research Interests

I'm mainly interested in the following topics: Machine Learning, Computer Vision, Biomedical Image and Text Analysis, Natural Language Processing, Data Analysis and Health Informatics.

Prospective PhD student please drop me an email with your Resume, Research Proposal.

Seeking highly self-motivated PhD/Master by Research students. Dual-doctorate degree candidates/visiting students/visiting scholars in the areas of ML/Human-Centered AI are also welcomed