Associate Professor Zongyuan Ge is a renowned expert in Medical Artificial Intelligence, specializing in integrating AI with medical imaging, diagnosis, and digital health across various fields such as ophthalmology, dermatology, cardiology, and neurology. Currently holding a tenure position at Monash University, he leads the Monash Medical AI group and serves as Chief Scientist at the Monash-Airdoc Research Centre. His groundbreaking research, supported by over $35 million in funding from major organizations, has led to the development of AI technologies used worldwide for healthcare monitoring. With 100+ publications and an h-index of 40, his work spans top-tier journals and conferences like The Lancet Digital Health, NeurIPS, and CVPR. Ge has received numerous prestigious awards and actively contributes to the scientific community through roles with NVIDIA, major conferences, and as an associate editor for leading journals. His industry collaborations include contributions to AI products generating millions in revenue and supporting healthcare services in multiple countries.

Caren Han is a Senior Lecturer (Associate Professor in the U.S. system) at the University of Melbourne and an honorary Senior Lecturer at both the University of Sydney and the University of Edinburgh. She is currently the co-leader of the Australia Deep Learning NLP Group (AD-NLP). After completing her Ph.D. in 2017, Caren began working at the University of Sydney, where she co-founded the USYDNLP group in 2019 alongside Dr. Josiah Poon. Her research focuses on Natural Language Processing with Deep Learning, covering diverse topics such as visual-linguistic multi-modal learning, abusive language detection, document layout analysis, explainable AI, and recommender systems.

Dr. Qi Zhang received his first Ph.D. from the Beijing Institute of Technology, Beijing, China in 2020, and his second Ph.D. from the University of Technology Sydney, Sydney, NSW, Australia, in 2023. He has authored more than 40 high-quality papers in premier conferences and journals, including ICML, NeurIPS, AAAI, IJCAI, WWW, SIGIR, ICDM, ECAI, DSAA, TKDE, TOIS, TNNLS, ESWA, and Pattern Recognition et al. His primary research interests include multimodal learning, time series analysis, frequency neural networks in various tasks such as recommender systems, fake news detection, mental health analysis, and neuroscience analysis.