Supervisors in Information Technology, Monash University

Muhammad Aamir Cheema is currently an ARC Future Fellow and Associate Professor at Monash University. He was a Lecturer at Monash from Nov-2013 to Dec-2015 and Senior Lecturer from 2016-2018. Prior to this, he was a Research Fellow (2011-2013) at School of Computer Science and Engineering at The University of New South Wales (UNSW), Australia. He obtained his Ph.D. degree (2008-2011) from UNSW, Australia. 

I am actively recruiting PhD candidates to undertake machine learning for biomedical imaging research.

The following funded research projects are open for applications - 

(i) Machine learning based MRI and PET image reconstruction for motion correction, fast imaging and quantitative imaging.

(ii) Deep learning development for mobile MRI scanners and their clinical utility validation.

I am a Lecturer in the Department of Software Systems and Cybersecurity at the Faculty of Information Technology. I obtained my Ph.D. degree from the University of Auckland in 2019. Before joining Monash University, I was a Post-Doc researcher in the Large-Scale Data & Systems (LSDS) group in the Department of Computing at Imperial College London, UK. 

My research sits at the intersection of Human Computer Interaction, Science and Technology Studies, and Participatory Design. I am particularly interested in how creative, critical and participatory design methods can inspire and enable social and environmental sustainability with marginalised groups (e.g. women and children). I am currently focusing on two research areas in my role as a research fellow within the Digital Equity and Digital Transformation Group. Firstly, I am part of the PROTIC project leading research exploring the role if ICT in empowering domestic workers in Bangladesh.

My research interests include mobile and ubiquitous applications, mobile decision support systems, context-aware computing and situation reasoning, mobile health monitoring and chronic pain management, Internet of Things (IoT), and social media content analysis.