Keynote Speaker 1

Associate Professor Dr. Yuto Lim

  • School of Information Science, Security and Networks Area, Center for Trustworthy IoT Infrastructure
    Japan Advanced Institute of Science and Technology

Specialization: Smart Homes, Smart Cities, Cyber-Physical Systems, Internet of Things, Future Wireless Communication and Network, and Smart Energy Distribution.

Biography: Yuto Lim received the B.Eng. (Hons) and M.Inf. Tech. degrees from Universiti Malaysia Sarawak (UNIMAS), Malaysia in 1998 and 2000, respectively. He received the Ph.D. degree in communications and computer engineering from Kyoto University in 2005. In November 2005, he was an expert researcher at National Institute of Information and Communications Technology (NICT), Japan until September of 2009. In 2005, he is actively joining the standardization activities of IEEE 802.11s Mesh Networking. He and his team members have introduced two proposals, which currently adopted in the draft of IEEE 802.11s D1.04. He also led the RA-OLSR group in resolving a part of the comments. In 2006, he is also actively joining the standardization activities of next-generation home networks from Telecommunication Technology Committee (TTC), Japan. Since October 2009, he has been working at Japan Advanced Institute of Science and Technology (JAIST) as an associate professor. During the years 2017-2019, he is actively joining the standardization activities of smart cities from the Bridging the Standardization Gap (BSG) Working Group of the TTC, Japan. He is honorably appointed as TTC representative to report the "Smart City" activities in Asia Pacific Region in both APT Standardization Program Forum (ASTAP) and APT Telecommunication/ICT Development Forum (ADF). His research interests are Smart Homes, Smart Cities, Cyber-Physical Systems, Internet of Things, Future Wireless Communication and Network, and Smart Energy Distribution. He is a member of IEEE, IEICE, and IPSJ.

Title: Beyond 5G/6G and Cyber-Physical System for Society 5.0

Abstract: With the development of society and the progress of technology, people put forward higher requirements for beyond 5G/6G next-generation wireless communication infrastructure, which is essential to achieving the super-smart society, Society 5.0. A Cyber-Physical System (CPS) in which people interact with both cyber space and physical space has a core of beyond 5G/6G next-generation wireless communication networks will support the basic infrastructure of Society 5.0 in the future. Since the wireless spectrum resources are very limited and the coming beyond 5G/6G is known as a fully digital and connected world with massive scale communications, improving spectrum utilization can always be a hot topic in the wireless communication systems. This talk introduces the concept of energy-autonomous driving medium access control (MAC) framework to design novel MAC for B5G/6G open platform wireless communications. In this talk, the novel MAC framework presents the techniques of wireless network coding, cooperative transmission strategy, relaying strategy, and artificial intelligence (AI)-driven over various wireless communication systems, which are including wireless LAN, full-duplex wireless, and optical wireless communications. This talk also includes our past and current research activities.

Keynote Speaker 2

Professor Dr. Amir Akramin Shafie

  • Director, Research Management Centre, International Islamic University Malaysia

Specialization: Robotics, Autonomous System, Artificial Intelligence

Biography: Amir Akramin Shafie is a Professor in the Department of Mechatronics at International Islamic University Malaysia (IIUM) where he has been since 2005. He is also the Director of Research Management Centre (RMC) from 2021. Previous administrative post includes Deputy Dean Academic Affairs Kulliyyah of Engineering (2006-2010), Dean of Kulliyyah of Engineering (2010-2012), Director of Industrial Links (2013-2016) and Director of Office of International Affairs (2017 -2021). He is also appointed as visiting professor and external assessor for several public and private university in Malaysia. Previously Dr. Amir served in the industry as Industrial Researcher in SIRIM Berhad and Engineer in Proton Berhad.

Dr Amir Akramin Shafie, received his B.Eng. (Hons) in Mechanical Engineering from the University of Dundee and Master of Science in Mechatronics from University of Abertay Dundee, Scotland. He has been conferred a doctorate in the field of Engineering by University of Dundee, Scotland in 2000.

Dr Amir has been the recipients of numerous research grants which resulted in publication of patents and copyrights. Dr Amir also has published more than 500 articles in books, refereed journals and various international conferences as editors, authors and co-authors some of which have been highly cited. Recently Dr Amir has completed an internatioal consultancy project to upgrade a conventional factory to a smart factory with connectivity and autonomy for self-adapting manufacturing capability.

Current research interest span both autonomous mechatronic system and intelligent system. The work in autonomous mechatronic system mainly in the areas of robotic development including robot design and locomotion, robotic sensing and perception and autonomous navigation system. Whereas for intelligent system the work involved development of application of machine learning in various areas which includes advanced manufacturing and health.

Title: Mechatronics Evolution for Industry 4.0 

Abstract: Mechatronics when initially conceived by Tetsuro Mori in 1971 is a Mechanical leaning design-based engineering concept to computing and electronics in the design and operation of a mechanical system. The current development in computing and information technology has resulted in the increase of capability and complexity of mechatronic systems. In industry 4.0 systems concepts such as that of cyber-physical systems and the development of Internet of Things (IoT) and the Cloud have also impacted the role of mechatronics. The provision of smart components which also includes their sub-system and their configuration have created opportunities and challenges in step-change improvement. The challenges in the areas of system identification and modelling all of which relate to the need for reinventing mechatronics contextually and conceptually while retaining its core concepts of system integration. Whereas the concepts of user privacy and machine ethics are new areas to be explored for mechatronics. The evolution introduced have made significant changes to the labour market where it has created new jobs in lace of the unemployment caused due to automation. The new jobs require new competencies and prospective skills which requires changes in educational profile for mechatronic engineering. Emerging technologies make it possible to divide the classic work tasks in support of global and digital production allowing new generations of new employment models namely part-time, temporary, on-demand etc. Studies have supported the importance of these factors where relationship between skills, value chain and skills for mechatronic systems. Moving forward the mechatronic systems should also include elements of design for circular strategies since the world is moving from linear economy model (extract-manufacture-consume-throw away) which due to its intensive use of natural resources creates unsustainable pressure on the environment. Therefore, design of mechatronic system design should also emphasize on facilitating repairs and maintenance on top of simplification of manufacturing process. This report attempts to bring together these and other issues to provide the framework for reinvention of mechatronics in preparation for the future of manufacturing where humans working seamlessly with various artificial intelligence level of robots and automated machines.

Keynote Speaker 3

Prof. Dr. Chan Chee Seng

  • Department of Artificial Intelligence, Faculty of Computer Science & Information Technology, Universiti Malaya

Specialization: Computer Vision and Machine Learning

Biography: Chan Chee Seng currently is a full Professor at Universiti Malaya (UM) where he leads a research team that specializes in computer vision and machine learning. Together with his team, Dr. Chan has published more than 100 papers in top peer-review computer vision and machine learning conferences and journals (e.g. CVPR, NeurIPS, TPAMI, TIP etc). Dr. Chan serves as an Associate Editor of Pattern Recognition (Elsevier), and has co-organized several workshops/tutorials and challenges at major computer vision/machine learning conferences. He is a senior member of IEEE, Chartered Engineer (IET) and Professional Engineer (PE) from the Board of Engineer Malaysia (BEM). During 2020-2022, Dr. Chan was seconded to the Ministry of Science, Technology and Innovation (MOSTI) as the Lead of PICC Unit under COVID19 Immunisation Task Force (CITF), as well as the Undersecretary for Division of Data Strategic and Foresight.

Title: DeepIP: Intellectual Property Protection for Deep Learning Model

Abstract: With substantial amount of time, resources and human (team) efforts invested to explore and develop successful deep neural networks (DNN), there emerges an urgent need to protect these inventions from being illegally copied, redistributed, or abused without respecting the intellectual properties of legitimate owners. Following recent progresses along this line, we investigate a number of watermark-based DNN ownership verification methods in the face of ambiguity attacks, which aim to cast doubts on the ownership verification by forging counterfeit watermarks. It is shown that ambiguity attacks pose serious threats to existing DNN watermarking methods. As remedies to the above-mentioned loophole, this paper proposes novel passport-based DNN ownership verification schemes which are both robust to network modifications and resilient to ambiguity attacks. The gist of embedding digital passports is to design and train DNN models in a way such that, the DNN inference performance of an original task will be significantly deteriorated due to forged passports. In other words, genuine passports are not only verified by looking for the predefined signatures, but also reasserted by the unyielding DNN model inference performances. Extensive experimental results justify the effectiveness of the proposed passport-based DNN ownership verification schemes.

Keynote Speaker 4

Mohd Helmy Abdul Wahab

  • Department of Computer Engineering
    Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia

SpecializationArtificial Intelligence Data Mining Mobile and Wireless Computing


Mohd Helmy Abd Wahab is a Senior lecturer and a former Head of Multimedia Engineering Lab and Intelligent System Lab at the Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM) in 2014 and 2009. He is currently a Principal Research Fellow at Advanced Telecommunication Research Center, Faculty of Electrical and Electronic Engineering, UTHM (2021 – 2025) and Visiting Research Fellow for Center of Excellence on Advanced in Computing, Universiti Malaysia Perlis (UNIMaP) (2021 – 2022). In addition, he was a visiting research fellow at Center of Excellence on Geopolymer and Green Technology under cluster Green ICT, Unimap from 2018 – 2020. He received a Bachelor of Information Technology with Honours from Universiti Utara Malaysia and Master of Science (Intelligent System) from the same university in 2002 and 2004 respectively. He has completed several research grants; won more than 80 medals in research and innovation showcases and awarded several publication and teaching awards.
He has authored and co-authored 2 academic books in database and WAP application, published several both local and international book chapters as well as published more than 200 technical papers in conferences and peer-reviewed journals. He also served as Editor-in-chief in Advances in Computing and Intelligent System Journal and guest editor for Several Special Issue in peer reviewed Journals. He also served as a reviewer for many well-established journals such as IEEE Transaction Data and Knowledge Engineering, IEEE Transaction of Computers and scholarly contributed as committee for conferences, editorial team and manuscript reviewers. His research interests are in data mining, artificial intelligence and computer vision, mobile and wireless computing, web-based applications. He is currently a senior member of IEEE, IEEE Computer Society, IAEng, and Senior member of IACSIT. Contact him at

Title: Towards Cyber-physical Concept in Designing Smart Applications

Abstract: Cyber-physical systems (CPS) combine elements from different scientific theories and engineering disciplines, including cybernetics, embedded systems, distributed control, sensor networks, control theory and systems engineering. These theories and disciplines support the optimal integration of digital and physical components, which maximises the synergies between the two and allows achieving significant benefits both in terms of cost, performance, and overall life-cycle sustainability. Thus, it can enhanced the use of technology extensively to various level of people beyond the location boundaries. Several real applications demonstrated the cyber-physical concept in smart waste management, monitoring and assisting disabled and elderly people, smart driver drowsiness detection system will be presented to show that the use of cyber-physical system nowadays support the most elements in industrial revolution 4.0.