Supervisors in Information Technology, Monash University

I am a Lecturer in the Department of Software Systems and Cybersecurity of the Faculty of Information Technology. My research focuses on cryptography and its abundant intersections with fields such as machine learning, privacy and information theory. I have a keen interest in the design of cryptographic protocols to enhance privacy and some of my current investigations are into privacy-preserving machine learning and blockchain technologies.

I am the inaugural Professor of Digital Health at Monash University. I'm based in the Faculty of IT but work with partners right across the University - both in Australia and internationally -  and in the health industry at a local, state and federal level. 
 

I am seeking PhD - and other HDR - students interested in a range of key areas associated with Digital Health (see Project list) 

Adamu has acquired extensive research experience across diverse domains, including emotion analysis, identity detection, information hiding, scalable video coding, GPU-based software optimization, multi-process and multi-thread parallel computing, energy harvesting and renewable energy systems, the Internet of Everything (IoE), robotics, and AI-based systems. His academic training and research activities have strengthened his analytical, theoretical, and problem-solving capabilities, which he continues to advance through research-driven innovation.

Zhixi Cai is a research fellow at Monash University, Australia. He received his Master of Data Science and PhD degree from Monash and has been actively working in the area of visual reasoning, agentic AI, neuro-symbolic system and vision-language applications.

Jianfei is a Professor at Faculty of IT, Monash University, where he currently serves as the Head for the Data Science & AI Department. His major research interests include computer vision, multimedia and visual computing. He has published more than 200 technical papers in international conferences and journals. He is a co-recipient of paper awards in ACCV, ICCM, IEEE ICIP and MMSP.

Andrew has over 20 years’ leadership experience in roles such as Associate Head of School (Learning), Associate Head of School (Curriculum) and Associate Head of School (Cloud Learning) at Deakin University. He also served as Deputy Academic Director (Learning Transformations) and Deputy Director (STEMed) at Swinburne University. Among his many contributions to education, Andrew invented the Task-Oriented Portfolio Assessment (TOPA) approach and the OnTrack system that applies TOPA used by over 230K people.

I am the Director of the Environmental Informatics Hub within the Faculty of Information Technology at Monash University, and a Professor of Artificial Intelligence in the Department of Data Science and AI. My expertise lies in decision AI, particularly in Markov Decision Processes (MDPs), Reinforcement Learning (RL), and Partially Observable Markov Decision Processes (POMDPs). I am interested in developing and applying new algorithms that support environmental protection and sustainability.

Bio: I am currently a Professor and Head of Department for Software Systems and Cybersecurity at Monash University. I am also the founder of Urban Computing Lab. I am an ACM Distinguished Speaker and the recipient of 2012 Malcolm Chaikin Prize for Research Excellence in Engineering, 2013 Discovery Early Career Researcher Award, 2014 Dean's Award for Excellence in Research by an Early Career Researcher, 2018 ARC Future Fellowship, 2018 Monash Student Association Teaching Award, and 2019 Victorian Young Tall Poppy Science Award.

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.