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.