Prof. Kung Wong, LAU (Nick)
Head & Professor, Department of Applied Data Science
Director of Virtual Reality Laboratory
Director of Game Development Laboratory
Hong Kong Shue Yan University
 

 

Biography: Prof. Lau is an active researcher specializing in XR technology and related studies. He obtained his PhD in studying human/user experiences and virtual reality from the IoE, University College London (UCL), and finished his MSc and BA from the University of Kong (HKU) and The Hong Kong Polytechnic University (HKPolyU) respectively. Prof. Lau’s interdisciplinary background encompasses virtual technologies, human-interaction research, design thinking, education and creative industries, making him a recognized expert in these fields. Prof. Lau has been working in various universities and tertiary institutes for over 27 years, where he has simultaneously engaged in the publication of high-end papers internationally. His publications contribute to the consolidation of related theories and explorations in the aforementioned areas. Until 2024, he had hitherto published around 100 research papers in diverse internationally referred journals (including SCI, SSCI and ESCI journals), books, and invited book chapters and conferences (with the best presenter award). Likewise, Prof. Lau has been undertaking 22 research projects studying human-computer interaction, the use of virtual reality, augmented reality, serious games, and other interactive platforms for various purposes.

Prof. Lau's contributions extend beyond academia. He is an advisor to UNESCO and has served as a chief examiner at the Hong Kong Examinations and Assessment Authority (HKEAA). He has been a subject specialist in the creative industry for the Hong Kong Council for Academic Accreditation (HKCAA) and a member of the British Education Research Association (BERA) and the Hong Kong Designers' Association (HKDA). Additionally, Prof. Lau has actively participated in government-related committees and NGOs, providing continuous consultancy in both formal and informal capacities.

 

 

 

Prof. Ruidong Li
Kanazawa University, Japan
 

 

Biography: Dr. Ruidong Li was with National Institute of Information and Communications Technology (NICT), Japan from 2008 to 2021 as an expert researcher, researcher, and senior researcher. Then he joined Kanazawa University, Japan as an associate professor since 2021. His research interests include big data, metaverse, digital twin, big data, machine learning, and future networks. He has published technical research papers in leading journals and conferences, such as IEEE JSAC, ACM/IEEE TON, IEEE TWC, IEEE TCCN, IEEE TNSE, IEEE Network, and IEEE INFOCOM. He is the recipient of the best paper awards for IEEE ICC 2022 and IWCMC 2022, IEEE Network 2022 Editor Appreciation Award, and IEEE MMTC Outstanding Leadership Award 2023. He serves as the chair of IEEE ComSoc Internet Technical Committee (ITC) and serves as the associate editor of IEEE TCOM, TCCN, IEEE Network and IEEE OJCS. He also served as chairs for conferences, such as general chair for AIoT 2025, ICNC 2025, IEEE HealthCom 2024, MOBILWare 2022, MSN 2021, CPSCom 2021, Area TPC chair for INFOCOM 2023, TPC chair for ICCCN 2025, IEEE AIoT 2024, QCNC 2024, ICNC 2024, MetaCom 2023, HotICN 2022, IEEE/ACM IWQoS 2021, MSN 2020, BRAINS 2020, and ICCSSE 2019.

 

Speech title: Towards Decentralized Intelligent Metaverse

Abstract: The Metaverse aims to provide users with immersive experiences as the next generation of services. Targeting at realizing the decentralized intelligent metaverse, we firstly investigate an Large Language Model (LLM)-based vehicle AI assistant using a Large Language and Vision Assistant (LLaVA) and propose a task-oriented semantic communication framework to facilitate efficient interaction between users and cloud servers. Then, we construct a comprehensive mathematical model for Metaverse user utility, and design a deep reinforcement learning method that dynamically optimizes the allocation of Metaverse computational tasks according to the available resource status of local devices and edge servers. Furthermore, we propose a novel decentralized digital twin network (DeDTN) paradigm based on blockchain and edge computing technologies.

 

 

Prof. Tatsuya Yamazaki
Niigata University, Japan
 

 

Biography: Tatsuya Yamazaki received the B.E., M.E. and Ph.D. degrees in information engineering from Niigata University, Niigata, Japan, in 1987, 1989 and 2002, respectively.He joined Communications Research Laboratory (at present, National Institute of Information and Communications Technology) as a researcher in 1989.
Since August 2013, he has been with the Faculty of Engineering, Niigata University, Niigata, where he is currently a Professor. Currently, he is alsothe director at the Big Data Activation Research Center of Niigata University.
From 1992 to 1993 and 1995 to 1996 he was a visiting researcher at the National Optics Institute, Canada.From 1997 to 2001 he was a senior researcher at ATR Adaptive Communications Research Laboratories.

His research interests include pattern recognition, statistical image processing, sensing data analysis, and communication service quality management.

He served as general co-chair of IEEE Workshop on Knowledge Media Networking (KMN'02) and general chair of the 5th International Conference On SmartHomes and Health Telematics (ICOST 2007).

He is a member of the IEEE, the Institute of Electronics, Information and Communication Engineers, the Information Processing Society of Japan, the Institute of Image Information and Television Engineers, and the Japanese Society for Artificial Intelligence.  
 

 

Speech title: Research and Development of Wave-Dissipating Block Installation Simulator

Abstract: In recent years, some developed countries are facing labor shortages in various work environments due to the aging of society. The civil engineering and construction sector is also facing similar issues, and as part of the solution, the introduction of ICT (Information and Communications Technologies), including computer technology and network technology, is being promoted. In this study, we are researching and developing a block installation simulator for the installation of wave-dissipating blocks on coasts, etc., which allows inexperienced workers to practice block installation without being restricted by time and place, instead of time-consuming and expensive on-site training. The block installation simulator has been developed based on the Unity 3D game development engine, and wave-dissipating blocks, which usually weigh more than 1 ton, are hung one by one by a rope on a computer screen and can be placed in any position. In addition, we propose a method to efficiently calculate the merits and demerits of block installation using porosity, and incorporated it into the simulator. Porosity is defined as the ratio between the total volume of the wave-dissipating blocks inside the structure and the ideal final shape of the structure. Voxelization technology and octree-based methods are used to calculate the porosity. We will introduce the simulator we actually built and show a specific method for calculating the porosity.

 

 

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