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. Yen-Wei Chen
Ritsumeikan University, Japan
Speech Title: Artificial Intelligence and Virtual Reality in Medical Applications
Abstract: Artificial
Intelligence (AI) and Virtual Reality (VR)
have become key technologies and are playing
today important roles in many academic and
industrial areas. Applications of AI and VR
in medicine and healthcare have received
increasing attention in recent years. The AI
technique has been widely used in
computer-aided diagnosis (CAD) and the VR
technique has been used in computer-aided
surgery (CAS) such as surgery simulator. In
this talk, I will introduce fundamental
basis of AI for CAD and some applications of
AI for diagnosis of hepatic disease. I will
also introduce some applications of VR
technique for support and simulations of
hepatic surgery.
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, Japan.
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.
Prof. Ruidong Li
Kanazawa University, Japan
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.
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.
Prof. Tatsuya Yamazaki
Niigata University, Japan
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.
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.
Prof. Margarita Favorskaya
Reshetnev Siberian State University of Science and Technology, Russia
Speech Title: Challenges and Opportunities of AR/VR Technologies for Intelligent Manufacturing
Abstract: Advances in software
algorithms and the decreasing cost of AR/VR
devices have led to immersive technologies
being deployed in a wide range of
applications in recent years. AR technology
allows the user to experience human sensory
modalities such as vision, tactile
sensation, and hearing, among others. The
virtual scene information superimposed on
the real world is additive or masking,
depending on whether the virtual scene is
represented in the form of symbolic or
graphical data. VR is one of the immersive
technologies in the current era where the
user completely moves from the experience of
the real environment to a fully immersive
virtual environment. The implementation of
AR/VR technologies in industry has focused
on guiding and training semi-skilled workers
to perform complex tasks efficiently.
Besides VR/AR, the term Mixed Reality
represents the combination of both real and
virtual environment scenes. Augmented
Reality has covered more prominent scenes of
the real environment in the user's view
compared to the virtual 3D scene context.
Augmented Virtuality has covered a more
prominent scene of the virtual environment
compared to the real environment scene.
Extended Reality is another new emerging
technology in industry 5.0 and is being
employed in various fields of applications
such as assembly line monitoring, remote
assistance, maintenance, health
education/training and so on.
This talk will cover hardware and software
aspects of AR manufacturing systems,
applications, key challenges, and research
opportunities.
Biography:
Margarita Favorskaya received her
engineering diploma from Rybinsk State
Aviation Technological University, Russia,
in 1980 and was awarded a Ph. D. by
S.-Petersburg State University of Aerospace
Instrumentation, S.-Petersburg, in 1985.
Since 1986 she is working in the Siberian
State Aerospace University, Krasnoyarsk, in
which she is responsible for the Digital
Image and Videos Processing Laboratory.
Prof. Dr. Margarita Favorskaya is the Head of the Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology.
Her main research interests are in the areas
of digital image and videos processing,
pattern recognition, fractal image
processing, artificial intelligence,
information technologies, and remote
sensing. She is the authored/ co-authored
more than 130 publications.
Margarita Favorskaya is a member of KES
International organization and the IPC
member of a number of National and
International Conferences. She is on the
editorial board of Int. J. Computer and
Information Science and International
Journal of Intelligent Decision Technology.
She has a number of awards from the Ministry
of Education and Science of the Russian
Federation for significant contribution in
educating and training a number of highly
qualified specialists over a number of
years.
Prof. Srikanta Patnaik
I.I.M.T., India
Biography:
Srikanta Patnaik has received his Bachelor
in Engineering from University College of
Engineering, Burla (presently VSSUT, Burla)
in 1989, MBA from Sambalpur University in
1991 and Ph. D. (Engineering) from Jadavpur
University, India in 1999. He has served at
University College of Engineering, Burla and
Fakir Mohan University and SOA University
for more than 30 years. Presently, Prof.
Srikanta Patnaik is Director of I.I.M.T.,
Bhubaneswar, which is an AICTE approved
management institute. He has supervised more
than 30 Ph. D. Theses and 100 Master theses
in the area of Computational Intelligence,
Machine Learning, Soft Computing
Applications and Re-Engineering. Dr. Patnaik
has published more than 100 research papers
in international journals and conference
proceedings. He is author of 3 text books
and edited more than 100 books and few
invited book chapters, published by leading
international publisher like IEEE, Elsevier,
Springer-Verlag, Kluwer Academic, IOS Press
and SPIE. He is the Editors-in-Chief of
International Journal of Information and
Communication Technology and International
Journal of Computational Vision and Robotics
published from Inderscience Publishing
House, England and, Editor of Journal of
Information and Communication Convegence
Engineering and Associate Editor of Journal
of Intelligent and Fuzzy Systems (JIFS). He
is also Editors-in-Chief of Book Series on
“Modeling and Optimization in Science and
Technology” published from Springer, Germany
and Advances in Computer and Electrical
Engineering (ACEE) and Advances in Medical
Technologies and Clinical Practice (AMTCP),
published by IGI Global, USA. Prof. Patnaik
is a Guest Professor to Hunan University of
Finance and Economics, Changsha and Kunming
University of Science and Technology,
Kunming, China. He is a member of Institute
of Electrical and Electronics Engineering
(IEEE) and Association for Computing
Machinery (ACM). He is also Fellow of IETE,
Life Member of ISTE, and CSI. He has visited
various countries such as Japan, China, Hong
Kong, Singapore, Indonesia, Iran, Malaysia,
Philippines, South Korea, United Arab
Emirates, Morocco, Algeria, Thailand and
Vietnam for delivering Key note addresses at
various conferences and symposiums.