Sydney AI Meetup 2025
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Dr. Mingjie Li is a postdoctoral scholar at the Laboratory of Artificial Intelligence in Medicine and Biomedical Physics at Stanford University. His research focuses on medical generative modeling, with the goal of developing clinically meaningful and controllable image synthesis methods to support diagnosis and treatment planning. He received his Ph.D. from the University of Technology Sydney. His work has been published in top-tier venues including T-PAMI, CVPR, NeurIPS, and ECCV. He also serves as a regular reviewer for leading journals and conferences such as IEEE TNNLS, IEEE ToMM, CVPR, and NeurIPS.

Suneeta is passionate about solving real-world problems with engineering, data, science, and machine learning. She's a PhD in applied science with a computer science and engineering background. She has extensive distributed, scalable computing and machine learning experience from IBM Software Labs, Expedita, USyd, Nearmap and more recently harrison.ai. She currently leads the AI Engineering division of harrison.ai, a clinician-led artificial intelligence medical technology company tackling some of the biggest issues in healthcare causing inequitable diagnosis today. She believes in lifelong learning and is passionate about knowledge sharing. She is also an author for O'Reilly and writes technical blogs in her spare time.

Shirui Pan received his Ph.D. in Computer Science from the University of Technology Sydney (UTS) and is a Professor in the School of Information and Communication Technology at Griffith University, Australia. His research focuses on data mining and machine learning and has been published in top venues, including Nature Machine Intelligence, KDD, and ICLR, among others. He has received several prestigious awards, including the 2024 IEEE CIS TNNLS Outstanding Paper Award, the 2020 IEEE ICDM Best Student Paper Award, the 2024 AI’s 10 to Watch recognition, and the 2024 IEEE ICDM Tao Li Award. He is also an ARC Future Fellow.

Jianfei Cai is a Professor at Faculty of IT, Monash University, where he had served as the inaugural Head for the Data Science & AI Department. Before that, he was Head of Visual and Interactive Computing Division and Head of Computer Communications Division in Nanyang Technological University (NTU). His major research interests include computer vision, deep learning and multimedia. He has successfully trained 40+ PhD students with three getting NTU SCSE Outstanding PhD thesis award and one getting Monash FIT Graduate Research Student Excellence Award. Many of his PhD students joined leading IT companies such as Meta, Apple, Amazon, Adobe and TikTok or become faculty members in reputable universities. He is a co-recipient of paper awards in ACCV, ICCM, IEEE ICIP and MMSP, and a winner of Monash FIT’s Dean's Researcher of the Year Award. He serves or has served as an Associate Editor for TPAMI, IJCV, IEEE T-IP, T-MM, and T-CSVT as well as serving as Area Chair for CVPR, ICCV, ECCV, IJCAI, ACM Multimedia, ICME, ICIP and ISCAS. He was the Chair of IEEE CAS VSPC-TC during 2016-2018. He had served as the leading TPC Chair for IEEE ICME 2012 and the best paper award committee chair & co-chair for IEEE T-MM 2020 & 2019. He is the leading General Chair for ACM Multimedia 2024, and a Fellow of IEEE.