Keynote Speakers
Prof. Wei Xiang
Fellow of IET
Fellow of Engineers
Australia
Vice Chair of the IEEE Northern
Australia Section
La Trobe
University, Australia
Speech Title: When Artificial Intelligence
Meets the Internet of Things: Motivations,
Challenges, and Applications
Abstract: Artificial Intelligence of Things
(AIoT) is a newly emerging technology that
combines IoT and AI technologies to enable
decision making and analytics at IoT
devices. IoT enables networks of physical
objects that are equipped with sensors,
software, and other technologies to exchange
data with other devices and systems over the
internet, while AI enables data analytics
and automated decision making. This talk
will start with the motivations of combining
AI and IoT technologies as well as the
associated challenges. Then Prof. Wei Xiang
will talk about his experience in setting up
Australia’s first accredited IoT Engineering
program at James Cook University, as well as
establishing Australia’s only
industry-sponsored research centre that
specialises in synergizing between AI and
IoT technologies at La Trobe University.
Before concluding the talk, Prof. Wei Xiang
will talk about a wide range of applications
and use cases his AIoT Centre has been
working on in Australia.
Biography:
Wei Xiang (S’00–M’04–SM’10) Professor Wei
Xiang is Cisco Research Chair of AI and IoT
and Director of the Cisco-La Trobe Centre
for AI and IoT at La Trobe University.
Previously, he was Foundation Chair and Head
of Discipline of IoT Engineering at James
Cook University, Cairns, Australia. Due to
his instrumental leadership in establishing
Australia’s first accredited Internet of
Things Engineering degree program, he was
inducted into Pearcy Foundation’s Hall of
Fame in October 2018. He is an elected
Fellow of the IET in UK and Engineers
Australia. He received the TNQ Innovation
Award in 2016, and Pearcey Entrepreneurship
Award in 2017, and Engineers Australia
Cairns Engineer of the Year in 2017. He was
a co-recipient of four Best Paper Awards at
WiSATS’2019, WCSP’2015, IEEE WCNC’2011, and
ICWMC’2009. He has been awarded several
prestigious fellowship titles. He was named
a Queensland International Fellow
(2010-2011) by the Queensland Government of
Australia, an Endeavour Research Fellow
(2012-2013) by the Commonwealth Government
of Australia, a Smart Futures Fellow
(2012-2015) by the Queensland Government of
Australia, and a JSPS Invitational Fellow
jointly by the Australian Academy of Science
and Japanese Society for Promotion of
Science (2014-2015). He was the Vice Chair
of the IEEE Northern Australia Section from
2016-2020. He was an Editor for IEEE
Communications Letters (2015-2017), and is
currently an Associate Editor for IEEE
Communications Surveys & Tutorials, IEEE
Internet of Things Journal, IEEE Access, and
Nature journal of Scientific Reports. He has
published over 250 peer-reviewed papers
including 3 books and 200 journal articles.
He has severed in a large number of
international conferences in the capacity of
General Co-Chair, TPC Co-Chair, Symposium
Chair, etc. His research interest includes
the Internet of Things, wireless
communications, machine learning for IoT
data analytics, and computer vision.
Prof. Kanta Matsuura
Fellow of IPSJ
University of Tokyo,
Japan
Speech Title: Social Acceptability of
Blockchain and How to Reduce Its Electric
Power Consumption
Biography: Kanta
Matsuura received his Ph.D. degree in
electronics from the University of Tokyo in
1997. He is currently a Professor of
Institute of Industrial Science at the
University of Tokyo. From March 2000 to
March 2001, he was a visiting scholar at
University of Cambridge. His research
interests include cryptography,
computer/network security, and security
management such as security economics. He
was an Associated Editor of IPSJ Journal
(2001-2005) and IEICE Transactions on
Communications (2005-2008), and won
Distinguished-Service Award from the IEICE
Communications Society in 2008. He was
Editor-in-Chief of Security Management
(2008-2012), and is an Editorial-Board
member of Design, Codes, and Cryptography
(2010-present), and an Area Editor of
Journal of Cybersecurity (2022-present). He
is a fellow of IPSJ. He is a senior member
of IEEE, ACM, and IEICE. He is President of
JSSM (Japan Society of Security Management)
(2021-present).
Prof. Hamid Mcheick,
University of Québec at Chicoutimi,
Canada
Speech Title: Design Architectural
Healthcare Framework
Abstract:
Nowaday, ubiquitous/IoT healthcare model is
reshaping the research in the medical domain
due to its potential to concurrently
overcome the challenges encountered in the
traditional healthcare systems. Prediction
of exacerbation of Chronic Obstructive
Pulmonary Disease (COPD) is considered
incurable disease and the fourth difficult
problem in the medical field. Many issues
face researchers in the medical domain, such
as modelling and representation of patient’
context (risk factors), uncertainty,
accuracy of decision, and preventing
exacerbations. These issues have been
handled in may research projects. However,
healthcare systems for COPD need to
represent the complexity of medical factors
and to design rules to increase their
accuracy. Traditional treatment plan and
non-fully automatic applications are still
used and have many issues, such as modelling
context, accuracy and performance. The goal
of this research is to build non-intrusive
and reliable mechanisms to improve life
quality of COPD patients and to protect them
against risk factors, as well as help the
physiciens by providing recommendations. In
this talk, I will present COPD healthcare
architectural model including context
modelling, context representation and
rule-based recommendations.
Biography: Professor Hamid Mcheick is a full
professor in Computer Science department at
the University of Québec at Chicoutimi,
Canada. He has more than 25 years of
experience in both academic and industrial
area. He has done his PhD in Software
Engineering and Distributed System in the
University of Montreal, Canada. He is
working on : designing and adaptation of
smart software applications; designing
healthcare frameworks for medical domain;
and designing smart Internet of Things and
edge frameworks for smart city. He has
supervised many post-doctorate, PhD, master
and bachelor students. He has nine book
chapters, more than 60 research papers in
international journals and more than 150
research papers in international/national
conference and workshop proceedings in his
credit. Dr. Mcheick has given many keynote
speeches and tutorials in his research area.
Dr. Mcheick has gotten many grants from
governments, industrials and academics. He
is a chief in editor, chair, co-chair,
reviewer, member in many organizations (such
as IEEE, ACM, Springer, Elsevier,
Inderscience) around the world.
Invited Speaker
Prof. Yudong Zhang
Fellow of IET, Fellow of EAI
Fellow of BCS
University of Leicester, UK
King
Abdulaziz University, SA
Speech Title: Information Processing
Techniques for Medical Image Analysis
Abstract: The field of medical image
analysis has witnessed remarkable
advancements in recent years, largely
attributed to the incredible potential of
information processing theories and
techniques. This talk aims to provide an
overview of our group’s advancements of
information processing in medical image
analysis. The talk will begin with an
introduction to deep learning and its vital
networks, such as convolutional neural
network, advanced pooling networks, graph
convolutional networks, attention neural
networks, weakly supervised networks, vision
transformers, etc. We will explore how these
neural networks can be tailored and applied
to various medical imaging modalities,
including magnetic resonance imaging,
computed tomography, and histopathology
slides. Furthermore, we will discuss the
challenges faced in information processing
for medical image analysis, such as limited
labelled data, class imbalance, and
interpretability, and delve into the
theories and techniques employed to mitigate
these issues.
Biography: Prof. Yudong
Zhang work at University of Leicester and
King Abdulaziz University. His research
interests include deep learning and medical
image analysis. He is the Fellow of IET,
Fellow of EAI, and Fellow of BCS. He is the
Senior Member of IEEE and ACM. He is the
Distinguished Speaker of ACM. He was 2019,
2021 & 2022 recipient of Clarivate Highly
Cited Researcher. He has (co)authored over
400 peer-reviewed articles. There are more
than 60 ESI Highly Cited Papers and 6 ESI
Hot Papers in his (co)authored publications.
His citation reached 28680 in Google Scholar
(h-index 95). He is the editor of Neural
Networks, IEEE TITS, IEEE TCSVT, IEEE JBHI,
etc. He has conducted many successful
industrial projects and academic grants from
NIH, Royal Society, British Council, GCRF,
EPSRC, MRC, BBSRC, Hope, and NSFC. He has
served as (Co-)Chair for more than 60
international conferences (including more
than 20 IEEE or ACM conferences). More than
70 news presses have reported his research
outputs, such as Reuters, BBC, Telegraph,
Mirror, Physics World, UK Today News, etc.