Assoc. Prof. Xie Ming
Nanyang Technological University, Singapore
Speech Title: KnowNet: A Large
Knowledge Model
Abstract: With the rise of Artificial
Intelligence, we are fortunate to witness
the transition from achieving machine’s
automation to achieving machine’s autonomy.
On one hand, the success of Artificial
Intelligence is guaranteed by the
availability of big data which is the result
of the formation of large systems that are
interconnected by various networks. On the
other hand, the importance of Artificial
Intelligence is due to the urgent demand for
self-intelligence by robots and machines of
tomorrow. Interestingly, the critical step
toward achieving machine’s self-intelligence
is the ability of designing large knowledge
models instead of improving existing
databases. In this invited talk, I will
share with the audience our research works
which aim at providing a general guiding
principle for the design of a large
knowledge model under the new paradigm of AI
3.0. The published research findings could
be found inside 1) Xie M., *Jayakumar K. S.
and *Chia H. F., 2004, Meaning-centric
Framework for Natural Text/Scene
Understanding by Robots, International
Journal of Humanoid Robotics, Vol. 1, No. 2,
pp. 375-407, and 2) Xie M., 2024, Top-down
Design of Human-like Teachable Mind, Special
Issue in Celebrating IJHR’s 20th Year
Anniversary, International Journal of
Humanoid Robotics.
Biography:
Xie Ming received the
B.Eng degree in control and automation
engineering from East-China Institute of
Textile Technology (now, under the name of
Donghua University, Shanghai, China).
Subsequently, as a recipient of the nation's
prestigious overseas scholarship of Chinese
government, he has completed the
postgraduate studies and doctorate research
works, and has received the Master degree
from the University of Valenciennes (France)
in 1986 as well as the PhD degree from the
University of Rennes (France) in 1989. Since
1986, he has worked as Research Assistant at
IRISA-INRIA Rennes, Expert Engineer at INRIA
Sophia-Antipolis, Lecturer/Senior
Lecturer/Associate Professor of Nanyang
Technological University, Fellow of
Singapore-MIT Alliance (SMA) (Affiliated
with Innovation in Manufacturing Systems and
Technology Program), Guest Professor of
Huazhong University of Science and
Technology (2002, 2006), Professor awarded
by China's Jiangsu Provincial Government
(2014), and Dean of College of Electrical
Engineering and Control Science at Nanjing
Tech University (2014-2016). He was the
General Chair of 2007 International
Conference on Climbing and Walking Robots
(CLAWAR), the General Chair of 2009
International Conference on Intelligent
Robotics and Applications (ICIRA), the
Co-founder of the International Journal of
Humanoid Robotics (SCI/SCIE indexed),
Co-founder of Singapore-China Association
for Advancement of Science and Technology,
Co-founder of Robotics Society of Singapore.
He has taught the courses such as Robotics,
Artificial Intelligence, Applied Machine
Vision, Measurement and Sensing Systems,
Microprocessor Systems, and University
Physics. In terms of scientific research, he
has authored three books in English, two
books in Chinese, and two edited books in
English. He has published several book
chapters, over 10 patents of invention, over
40 research papers in scientific journals
and over 100 research papers in
international conferences. He was the
recipient of one best conference paper award
from World Automation Congress, the
recipient of one best conference paper award
from CLAWAR, the recipient of one
outstanding paper award from International
Journal of Industrial Robot, the recipient
of one Gold Prize (S$8K) from CrayQuest, the
recipient of one Grand Champion Prize
(S$15K) from CrayQuest, the recipient of one
A-Star's Best Research Idea Prize (S$5K),
the recipient of one Silver Medal from
Dragon Design Foundation.
Prof. William Yeoh
Hong Kong Metropolitan University, Hong Kong SAR
Speech Title: Human-Centric
Cyber Security for Contemporary
Organisations
Abstract: In this talk, I will present my
research in the field of human-centric
cybersecurity, highlighting key milestones
and lessons learned throughout the journey.
My work focuses on the human and
organisational dimensions of cybersecurity,
covering areas such as zero-trust
cybersecurity maturity, critical success
factors for organisational cybersecurity,
blockchain applications in cybersecurity,
and simulated phishing attacks with embedded
training interventions. These studies,
published in leading peer-reviewed journals,
offer actionable insights for both academics
and practitioners. They provide valuable
implications for enhancing cybersecurity
culture, readiness, and resilience across
organisations. Drawing on this experience, I
will also discuss common challenges
encountered during the research process,
including interdisciplinary collaboration,
industry engagement, and navigating
publication pathways.
Biography:
William Yeoh is a full professor at the Lee
Shau Kee School of Business and
Administration, Hong Kong Metropolitan
University. Previously, he served at Deakin
University’s Deakin Business School, where
he was also the Innovation Head at Deakin
Cyber Research and Innovation Centre. His
research is supported by various funding
bodies and has been published in top-tier
journals. His research, teaching, and
service have been recognised with several
national and international awards, including
the Researcher of the Year Award from the
Australian Information Security Association
(AISA), the ICT Educator of the Year Gold
Award from the Australian Computer Society
(ACS), Australia’s Top 25 Analytics Leaders
award from the Institute of Analytics
Professionals of Australia (IAPA),
internationally competitive IBM Faculty
Awards, Deakin Faculty Research Excellence
Award, and Deakin Vice-Chancellor’s Award
for Value Innovation for his leadership of
the IBM Centre of Excellence in Business
Analytics. He is also an elected Fellow of
the Australian Computer Society.
Assoc. Prof. NORMA BT ALIAS FS
Universiti Kebangsaan Malaysia
Speech Title: AI algorithms, theorem, theory and mathematical foundations on HPC platform
Biography:
Associate Professor Dr Norma Alias received
her Ph.D. in Industrial Computing
(Supercomputer) at Universiti Kebangsaan
Malaysia. She is the Committee of Synthetics
Biology RG and Future Ready Educator 4.0.
Handling 30 webinars per year at the local
and international levels. She is among 40
UTM research excellence in the year 2006,
Venus Distinguished Women Award and a mentor
for SUNSHINE++ program. She is chair for 4
international conferences, MSMK Chief Editor
and Associate Editorial Board for 38
international journals. Her research
encompasses big data analytics on
high-performance computing, validation of
complex mathematical model, solving
grandchallenge applications in
nanotechnology, loT, Al-smart digital
towards Industry 5.0