Keynote Speakers

Prof. Jiangchuan (JC) Liu (Fellow, IEEE) (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.

Invited Speakers

Dr. Mohammad Alibakhshikenari
University of Rome “Tor Vergata”, Italy

Dr. Mohammad Alibakhshikenari received the Ph.D. degree in electronics engineering from the University of Rome ‘‘Tor Vergata’’ (UNITOV), Italy, in 2020. In November 2019 he was winner of a postdoctoral research fund for two years awarded by the UNITOV, Italy. Between July 2021 to August 2024, he was with the Department of Signal Theory and Communications, Universidad Carlos III de Madrid (uc3m), Spain, as a Principal Investigator of the CONEX (CONnecting EXcellence)-Plus Talent Training Program and Marie Skłodowska-Curie Actions. In September 2024, he joined UNITOV, Italy, as a senior researcher. His main research interests are “electromagnetic systems, antennas and wave-propagations, metamaterials and metasurfaces, beamforming networks, RF- and microwave technologies” leading him to publish above 260 research articles in scientific journals and international conferences. He was a recipient of the two Young Engineer Awards of the 47th and 48th European Microwave Conferences held in Nuremberg, Germany, in 2017, and in Madrid, Spain, in 2018, respectively. He serves the role of an Associate Editor for two scientific journals of (i) Radio Science, and (ii) IET Journal of Engineering. He is member of the reviewer panel of (i) The Dutch Research Council (NWO), and (ii) The UK Research and Innovation (UKRI) Funding Service.

Asst. Prof. Jun Zhao
Nanyang Technological University, Singapore

Jun Zhao is currently an Assistant Professor in the College of Computing and Data Science (CCDS) at Nanyang Technological University (NTU) in Singapore. He received a PhD degree in May 2015 in Electrical and Computer Engineering from Carnegie Mellon University (CMU), and a bachelor's degree in July 2010 from Shanghai Jiao Tong University in China.

Prof. Weizhi Meng
Lancaster University, United Kingdom

Weizhi Meng is a Full Professor in the School of Computing and Communications, Lancaster University, United Kingdom, and an adjunct faculty in the Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark. He obtained his Ph.D. degree in Computer Science from the City University of Hong Kong. He was a recipient of the Hong Kong Institution of Engineers (HKIE) Outstanding Paper Award for Young Engineers/Researchers in both 2014 and 2017. He also received the IEEE ComSoc Best Young Researcher Award for Europe, Middle East, & Africa Region (EMEA) in 2020 and the IEEE HITC Award for Excellence for Middle Career Researchers in 2023. His primary research interests are blockchain technology, cyber security and artificial intelligence in security including intrusion detection, blockchain applications, smartphone security, biometric authentication, and IoT security. He serves as associate editors / editorial board members for many reputed journals such as IEEE TDSC and IEEE TIFS. He is an ACM Distinguished Speaker.