Keynote speaker 1: Professor Alison Noble
Oxford University, England

Title: Healthcare AI Imaging Algorithms and Systems in the new Era of Humans and AI working together
Abstract:
About the Speaker:
Professor Alison Noble FRS is currently the Oxford University Technikos Professor of Biomedical Engineering. Her academic research interests are at the inter-disciplinary interface of artificial intelligence (computer vision) and healthcare with her group internationally recognized for its work on ultrasound AI. She has worked with clinical partners in the UK, India, and Kenya on translational AI-based imaging science. Some of her academic work has been successfully commercialised via a spinout and is used in clinics worldwide. Alison currently leads a major programme on human-AI collaboration in healthcare imaging supported by a UKRI Turing AI World-Leading Researcher Fellowship which is, as well, looking at how federated imaging analysis can enable international science partnerships, and socio-technical challenges of integrating AI into healthcare settings. Alison is a former President of the MICCAI Society. She is a Fellow of the Royal Society and Royal Academy of Engineering and a current Vice President and a Foreign Secretary of the Royal Society. Alison received a CBE for services to engineering and biomedical imaging in the 2023 King’s Birthday Honours List.

Keynote speaker 2: Professor Shijian Lu
Nanyang Technological University, Singapore

Title: Sustainable AI via Image Generation and Cross-Domain Transfer
Abstract:
About the Speaker:
Prof Lu is an Associate Professor from the College of Computing and Data Science, Nanyang Technological University, Singapore. He received his PhD from the Electrical and Computer Engineering Department of the National University of Singapore. His research interests include computer vision and deep learning. He has published more than 200 internationally refereed journal and conference papers and co-authored over 10 patents. Before joining in NTU, he took several leadership roles in the Institute for Infocomm Research (I2R), Agency for Science, Technology, and Research (A*SATR), Singapore, including Head of Visual Attention Lab, Co-Chair of the Image and Pervasive Access Laboratory (IPAL), etc. Prof Lu is currently serving as an Associate Editor for the journals Pattern Recognition and Neurocomputing. He has also served in the program committee of several international conferences such as the Senior Program Committee of the IJCAI and AAAI, the Area Chair of CVPR, ACCV, etc.

Keynote speaker 3: Distinguished Professor Chin-Teng Lin
University of Technology Sydney, Australia

Title: Brain Computer Interface in Augmented Reality and Metaverse
Abstract: Brain-Computer Interface (BCI) enhances the capability of a human brain in communicating and interacting with the environment directly. BCI plays an important role in natural cognition, which is to study the brain and behavior at work. Human cognitive functions such as action planning, intention, preference, perception, attention, situational awareness, and decision-making are omnipresent in our daily life activities. BCI has been considered as the disruptive technology for the next-generation human computer interface in wearable computers and devices. In addition, there are many potential real-life impacts of BCI technology in both daily life applications for augmenting human performance, and daily care applications for elder/patients healthcare in real world and virtual world. Talk focus will be the applications of BCI technology on AR-based brain robot interface, BCI-based assistive glasses for the blind, Biofeedback for chronic pain mitigation, and BCI-based human-machine cooperation. The potential applications of BCI in the coming Metaverse will be also introduced in this talk.
About the Speaker:
Chin-Teng Lin received the B.S. degree from the National Chiao-Tung University (NCTU), Taiwan in 1986, and the Master and Ph.D. degree in electrical engineering from Purdue University, West Lafayette, Indiana, U.S.A. in 1989 and 1992, respectively. He is currently a Distinguished Professor, Director of UTS Human-centric AI Center, Co-Director of Australian AI Institute, and Director of CIBCI Lab, FEIT, UTS. He is also invited as the International Faculty of the University of California at San Diego (UCSD) from 2012 to 2020 and Honorary Professorship of University of Nottingham from 2014 to 2021. Prof. Lin’s research focuses on machine-intelligent systems and brain computer interface, including algorithm development and system design. He has published over 460 journal papers (H-Index 99 based on Google Scholar) and is the co-author of Neural Fuzzy Systems (Prentice-Hall) and author of Neural Fuzzy Control Systems with Structure and Parameter Learning (World Scientific). Dr. Lin served as Editor-in-Chief of IEEE Transactions on Fuzzy Systems from 2011 to 2016 and has served on the Board of Governors of IEEE Circuits and Systems Society, IEEE Systems, Man, and Cybernetics Society, and IEEE Computational Intelligence Society. He is the Chair of the 2022-2023 CIS Awards Committee. Dr. Lin is an IEEE Fellow and received the IEEE Fuzzy Pioneer Award in 2017. He received the UTS Chancellor’s Medal of Research Excellence in 2015.