Supervisors in Information Technology, Monash University
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.
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.
Xiao is currently a Research Fellow in the Faculty of Information Technology at Monash University. He obtained his Ph.D. from Swinburne University of Technology. His research lies in the security analysis of the Android operating system and its apps, including analyzing the security mechanisms of the Android framework, potentially harmful behaviours of Android apps, and privacy leaks of Android apps. His recent research has a special interest in evaluating mobile health (mHealth) apps regarding their security and privacy.
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.