Keynote Speakers

 

 

Prof. Koichi Asatani
IEEE Life Fellow, IEICE Life Fellow
Professor Emeritus, Kogakuin University
Kogakuin University, Japan

 

Speech Title: Trends and Challenges for 5G/6G Networks

Abstract: 5G is currently being installed in many countries. The new connected endpoints in communication networks will play key roles in the 5G era, including autonomous vehicles, various smart sensors, IoT devices, as well as the enhanced internet and other existing communication devices.
6G is currently being developed and is expected to be faster, with much less latency, and more intelligent than 5G. Various research initiatives have already started in academia, industry, and standard bodies towards 6G mobile wireless networks.
This talk will review trends in global ICT, describe the 5G architecture and use cases, and provide an update on implementation status. It will then address the technical and regulatory challenges of 6G. Finally, it will discuss the issues and challenges in realizing and deploying 6G as an infrastructure.

Biography: Koichi Asatani received his B.E.E.E., M.E.E.E., and Ph.D. degrees from Kyoto University in 1969, 1971, and 1974, respectively. From 1974 to 1997, he was with NTT and was involved in R&D on optical fiber communication systems, hi-definition video transmission systems, FTTH, ISDN, B-ISDN, ATM networks, IP networks, and their strategic planning. From 1997 to 2014, he served as a professor at Kogakuin University, and from 1999 to 2012, he was a visiting professor at the Graduate School of Global Information and Telecommunication, Waseda University. He was also the Chair Professor at Nankai University in Tianjin, China from 2014 to 2018. From 2019 to 2022, he was a guest professor at Shanghai University in China and is currently a professor emeritus at Kogakuin University. He is a Life Fellow of both IEEE and IEICE. He is a Life Fellow of both IEEE and IEICE. He was appointed as a Distinguished Lecturer of IEEE ComSoc for 2006-2008, 2011-2014.

He is an Ex-Chair and Advisory Board Member of IEEE ComSoc TC on Communication Quality and Reliability (CQR-TC), and has been a Feature Editor on Standards (1993-1999), and a Senior Technical Editor (1999-2005) of IEEE Communications Magazine. From 1988 through 2000, he served as the Vice-Chair of ITU-T SG 13 and Chair of a Working Party of SG13, which was responsible for digital networks including GII, IP networks, NGN, and Future Networks. He also served as the Chair for the National Committee on Next Generation Networks in Japan, as well as Chair of the R&D and Standardizations Working Group for the Next Generation IP Network Promotion Forum. He served as IEEE ComSoc Director of Membership Programs Development for 2014-2015. He also served as the Chair of the IEEE ComSoc GIMS Committee for 2018-2019, and was a member of the IEEE ComSoc Fellow Evaluation Committee for 2019-2021. He served as a Member at Large of the Board of Governors for IEEE ComSoc for 2020-2022. He is also serving as a board member for IEICE, as well as the Director of IEICE Standards Activities, since 2014.

 

 

 

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
The University of Tokyo, Japan

 

Speech Title: Social Acceptability of Blockchain and How to Reduce Its Electric Power Consumption

Abstract: When considering social acceptability of emerging use if IT applications in the age of digital transformation, an annoyance is their energy consumption. Blockchain is not an exception; many efforts have been made to reduce energy consumption in mining, and adoption of less energy-intensive consensus algorithms is often discussed. By contrast, this talk shows that redundancy of signature verification is another important origin of energy consumption. We will then introduce a Proof-of-Verification (PoV) technique which can minimize the redundancy. For security reasons, signature algorithms have randomness in the sense that the signature generated on the same document differs every time even when the same signing key is used. Consequently, the corresponding signature verification algorithm includes a reconstruction process of the random value. This reconstructed value is used as a PoV, and appended to a new block when reported by a miner. Ledger nodes verify nothing but a selected number of the signatures, and check if the reconstructed values are identical to the corresponding PoVs. If identical, the ledger nodes skip the verification of the other signatures in order to reduce energy consumption without doing harm to security. We also review popular subsystems of blockchain for the purpose of comprehensive evaluation regarding the reduction of energy consumption from the viewpoint of social acceptability.

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).

 

 

 

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.