Keynote Speakers

 

Prof. Eric Tsui
Hong Kong Polytechnic University, China

Biography: Eric Tsui is former Associate Director of the Behaviour and Knowledge Engineering (BAKE) Research Centre and currently a Senior Project Fellow at the Educational Research Centre at The Hong Kong Polytechnic University. Between 2015 and 2023, he served as the Managing Regional Editor (Asia) of the Journal of Knowledge Management and led a Master Knowledge Management program for over 15 years. Eric has also championed many technology-enhanced teaching and learning projects and is a crusader of technology-enhanced learning at the university. His research interests include Knowledge Management technologies, blended learning, cloud services, and collaborations. Eric is the leader of two Professional Certificate programs and two Massive Open Online Courses (MOOCs) on edX and has authored several articles in Times Higher Education Campus. He holds B.Sc. (Hons.), PhD, and MBA qualifications. A recipient of many Knowledge Management and E-Learning international awards including the Knowledge Management Award for Excellence in 2021 and the QS Wharton Reimagine Education Gold Award (Asia) in 2015, Professor Tsui was twice listed as an exemplary/outstanding academic in PolyU Annual Reports in the last 8 years.

Value creation in a digitalised world

This talk explores value creation in a digitalized world, contrasting traditional and modern approaches. Revisiting Michael Porter's value chain and three competing value disciplines, the speaker highlights how digitalisation accelerates the need for value creation and necessitates adaptation. The talk further analyses the impact of data, algorithms, and Moore's Law, emphasizing the importance of customer experience and business model innovation. Drawing on successful companies as examplars as well as illustrate the consequences of failing to adapt to a rapidly changing digital landscape.

 

Prof. Yen-Wei Chen
Ritsumeikan University, Japan

Biography: Yen-Wei Chen received the B.E. degree in 1985 from Kobe Univ., Kobe, Japan, the M.E. degree in 1987, and the D.E. degree in 1990, both from Osaka Univ., Osaka, Japan. He was a research fellow with the Institute for Laser Technology, Osaka, from 1991 to 1994. From Oct. 1994 to Mar. 2004, he was an associate Professor and a professor with the Department of Electrical and Electronic Engineering, Univ. of the Ryukyus, Okinawa, Japan. He is currently a professor with the college of Information Science and Engineering, Ritsumeikan University, Japan. He is the founder and the first director of Center of Advanced ICT for Medicine and Healthcare, Ritsumeikan University. He was a chair professor with the college of computer technology and science, Zhejiang University, China during 2014-2016. His research interests include medical image analysis, computer vision and computational intelligence. He has published more than 300 research papers in a number of leading journals and leading conferences including IEEE Trans. Image Processing, IEEE Trans. Medical Imaging, CVPR, ICCV, MICCAI. He has received many distinguished awards including ICPR2012 Best Scientific Paper Award, 2014 JAMIT Best Paper Award. He is/was a leader of numerous national and industrial research projects.

Knowledge-Guided Deep Learning for Enhanced Medical Image Segmentation

Deep Learning (DL) has played an important role in various academic and industrial domains, especially in computer vision and image recognition. Although deep learning (DL) has been successfully applied to medical image analysis, achieving state-of-the-art performance, few DL applications have been successfully implemented in real clinical settings. The primary reason for this is that the specific knowledge and prior information of human anatomy possessed by doctors is not utilized or incorporated into DL applications. In this keynote address, I will present our recent advancements in knowledge-guided deep learning for enhanced medical image analysis. This will include two research topics: (1) our proposed deep atlas prior, which incorporates medical knowledge into DL models; (2) language-guided medical image segmentation, which incorporates the specific knowledge of doctors as an additional language modality into DL models.

 

Prof. Vincent Ribiere
Bangkok University, Thailand

Dr. Vincent Ribiere is an eminent expert in Knowledge Management (KM), boasting over 24 years of experience. As the co-founder and Managing Director of the Institute for Knowledge and Innovation Southeast Asia (IKI-SEA) at Bangkok University, he has been pivotal in establishing and directing the innovative Ph.D. program in Knowledge Management and Innovation Management (Ph.D. KIM) for the past 13 years.
A leader in global KM endeavors, Dr. Vincent coordinates the Global Most Innovative and Knowledge Enterprise Award (MIKE Award) and founded the Southeast Asia MIKE Award. He annually organizes the Organizational Knowledge Sharing (OKS) Certificate program in collaboration with the World Bank.
Dr. Vincent has been recognized with the "Knowledge Management Award 2022" (Individual Award) by Knowledge Management Austria and KM4DP, among other accolades. A sought-after speaker and workshop leader, he frequently contributes at international professional and academic conferences and has authored numerous academic publications.