Supervisors in Information Technology, Monash University
Marcel's research is focussed on automated vulnerability detection, analysis, testing, debugging, and repair of large software systems, where he investigates practical topics such as efficiency, scalability, and reliability of automated techniques via theoretical and empirical analysis. His highperformance fuzzers discovered 100+ bugs in widely-used software systems, more than 50 of which are security-critical vulnerabilities registered as CVEs at the US National Vulnerability Database.
I work on advancing tools for human-centred data analysis. In contrast to machine learning methods that aim for automation (e.g., self-driving cars), human-centred data analysis methods aim to empower human users. In order to be effective, such methods and their results must be simple and interpretable yet provide valid answers to critical analysis questions.
Prof Burstein is an ICT Lead researcher in digital health. Her expertise is in multidisciplinary, participatory research, knowledge management tools, including those for mobile and real time decision support. In the past ten years she led the design and implementation of on-line portals, mobile apps and ontologies for decision support in various health domains.
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.
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.
Cunjian Chen is currently an Adjunct Lecturer at Monash University, as well as a Research Fellow at Monash Suzhou Research Institute. Previously, he was a Senior Research Associate at Michigan State University. He obtained his Ph.D. in computer science from West Virginia University. His work on presentation attack detection has been recognized with Best Paper Awards from ISBA 2017, WACVW 2018, and WACVW 2021.
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.