Keynote Speakers

 

Prof. Jiangchuan (JC) Liu
IEEE Fellow, Fellow of The Canadian Academy of Engineering

Simon Fraser University, Canada
 

Jiangchuan Liu is a Full Professor in the School of Computing Science, Simon Fraser University, British Columbia, Canada. He is a Fellow of The Canadian Academy of Engineering, an IEEE Fellow, and an NSERC E.W.R. Steacie Memorial Fellow. He is also a Distinguished Guest Professor of Tsinghua Shenzhen International Graduate School. He received the BEng degree (cum laude) from Tsinghua University, Beijing, China, in 1999, and the PhD degree from The Hong Kong University of Science and Technology in 2003, both in computer science. He is a co-recipient of the inaugural Test of Time Paper Award of IEEE INFOCOM (2015), ACM SIGMM TOMCCAP Nicolas D. Georganas Best Paper Award (2013), ACM Multimedia Best Paper Award (2012), and IEEE MASS Best Paper Award (2021).
His research interests include multimedia systems and networks, cloud and edge computing, social networking, online gaming, and Internet of things/RFID/backscatter. He has served on the editorial boards of IEEE/ACM Transactions on Networking, IEEE Transactions on Network Sciences and Engineering, IEEE Transactions on Big Data, IEEE Transactions on Multimedia, IEEE Communications Surveys and Tutorials, and IEEE Internet of Things Journal. He is a Steering Committee member of IEEE Transactions on Mobile Computing and Steering Committee Chair of IEEE/ACM IWQoS (2015-2017). He was TPC Co-Chair of IEEE INFOCOM'2021 and IEEE Satellite’2022.

Speech Title: Networked Live Video Analytics: From Design to Deployment

Live video analytics over wide-area networks have seen a wide range of applications, e,g., environment monitoring, industry automation, and self-driving, to name but a few. In this talk, based on our recent research and development experiences, I will discuss our works on the algorithm and system design in this field, from severless-based pipeline optimization, 360-degree video analytics, to streaming analytics over space networking. We will then discuss the challenges and solutions toward realworld deployment in remote ecosystems.

 

Prof. Eric Tsui

The Hong Kong Polytechnic University, Hong Kong, China
 

Eric Tsui is the Associate Director of the Behaviour and Knowledge Engineering (BAKE) Research Centre as well as a Senior Project Officer at the Educational Research Centre at The Hong Kong Polytechnic University. Since 2015, he served as the Managing Regional Editor (Asia) of the Journal of Knowledge Management and had led and delivered 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 a Professional Certificate program that consists of two Massive Open Online Courses (MOOCs) on edX that cover the topics of Knowledge Management, Big Data, and Industry 4.0. 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 among the top 50 most influential people in tacit knowledge management by GO-TKM in 2023, Professor Tsui was twice listed as an exemplary/outstanding academic in PolyU Annual Reports in the last 7 years.

Speech Title: Current Trends, Opportunities and Challenges in Educational Technologies

This talk will summarise recent trends and driving forces behind the advancement and adoption of educational technologies and new pedagogies in higher education. Such technologies include, but not limited to, Artificial Intelligence, Extended Reality (e.g. Augmented/Virtual Reality and the metaverse), and gamification. The non-technical issues that need to be addressed as a result of adopting and leveraging these technologies are even more worthy of discussion e.g. re-design of assessments, AI competencies for teachers and students, and the ethical issues in the use of AI software. Variations in the emphasis and applications of educational technologies between Western and Asian institutions will also be outlined.