Keynote #1: Toward a Sustainable Future
Professor. Ir. Dr.
Hin Yong Wong
MMU, Malaysia
"Sustainable development (SD) is the development that meets the needs of the present without compromising the ability of future generations to meet their own needs.", according to the United Nations (UN). SD requires the growth of economy to be in commensurate with the limits of the ecology and environment. The birth of the Sustainable Development Goals (SDGs) adopted by UN (or known as UNSDGs) has provided us an essential reference and guide to achieve SD Together.
It is essential for us to understand the importance of sustainable development and instill the spirit of sustainability not only on us but to our generation to come.
In fact, for the first time since the adoption of UNSDGs, it was noted that the global average SDG Index score for 2020 has decreased.
The talk is about the journey of sustainability and how the use of technology, its impact, and our role as scientist/engineers/technologist in making the world we live in a better place and to ensure the UNSDGs 2030 are realizable.
Prof. Ir. Dr. Hin-Yong Wong received his B.Eng. (first class Hons.) in Electronics Engineering from the University of Sussex, United Kingdom, in 1997. In 1998, he was awarded the Tetley &Lupton Scholarship and received his M.Sc.(Eng)(WITH DISTINCTION) in Radio communication and High Frequency Engineering from the University of Leeds, United Kingdom. He was subsequently awarded the Overseas Research Students (ORS) Awards Scheme (U.K.) and University of Glasgow Postgraduate Research Scholarships to pursue his PhD and obtained his PhD from the School of Electrical & Electronics, University of Glasgow, United Kingdom.
As of today he has published book chapter, review chapter, encyclopedia and over 115 international research articles in ISI and Scopus indexed journals and conferences based on his research findings. Thus far he has successfully secured a total research grant of over RM 6.6 millions for his research projects from various industry, government agencies and ministries funding sources.
He is now a Professor and the Dean of Institute for Postgraduate Studies, Multimedia University. Prior to the current appointment, he had the opportunity to serve in other positions such as the Dean of Faculty of Engineering, Director of Centre for Academic Excellence and Director of Research Institute Digital Enterprise.
He is the proud recipient of the 2011 The Institution of Engineering and Technology (IET) Malaysia Young Engineer Award, Winner & Honoree of the 2015 Ten Outstanding Young Malaysians (TOYM) Award by the Junior Chamber International, recipient of The National Outstanding Educator Award 2017 awarded by Private Education Co-operative Of Malaysia (EduCoop) in conjunction with the national Teachers Day Celebration. He is a Fellow of IET (United Kingdom), Fellow, ASEAN Academy of Engineering and Technology (AAET), Fellow of The Institution Of Engineers Malaysia (IEM).
Keynote #2: Deep Learning for Image Classification: Application to Astronomical Archive
Associate Professor Ts. Dr.
Hjh. Dayang NurFatimah binti Awang Iskandar
UNIMAS, Malaysia
Astronomy is traditionally an imaging science. It has ancient roots. The oldest constellations that are recognised in western astronomy were first devised around 4500 BP at a latitude around 36 degrees North. The advancement of astronomical instruments has resulted in a large volume of scientific data. The oldest known star catalogue was made by Hipparchus, around 135 BCE: it contained around 1000 stars. The Henry Draper catalog of 1949 contained over 350,000 stars, and the GAIA DR2 catalogue of 2018 contains over 1.3 billion stars. The Digitized Sky Survey of 1994 takes up 1.3TB of space. The Vera C. Rubin Observatory, when starting operations in 2022 will produce up to 10 TB much every night, and the Square Kilometre Array later this decade can produce that amount of image data every 1.5 minute. This has made astronomy into a pioneer of Big Data. In this keynote session will focus on the study of the effectiveness of using deep learning for the classification of planetary nebulae (PNe). It focusses on distinguishing PNe from other types of objects, and on their morphological classification. We adopted the deep transfer learning approach using three ImageNet pre-trained algorithms using images from the Hong Kong/Australian Astronomical Observatory/Strasbourg Observatory H-alpha Planetary Nebula research platform database (HASH DB) and from the Panoramic Survey Telescope and Rapid Response System (Pan-STARRS). Further discussion will be on the trade-offs, and potential avenues for future work to classify wide-field astronomical images.
Dayang NurFatimah Awang Iskandar is an associate professor at the Faculty of Computer Science and Information Technology (FCSIT), UNIMAS, Sarawak. She obtained her Bachelor degree (Hons) in Information Technology (majoring in Computational Science) from UNIMAS. She holds a Master in Multimedia Computing from Monash University, Australia and a PhD degree in Computer Science from Royal Melbourne Institute of Technology (RMIT), Australia. She pursued her postdoctoral studies with the Biomedical Informatics Systems Engineering Laboratory (BISEL), Heriot-Watt University, UK, working under the EU funded project ─ Combining and Uniting Business Intelligence with Semantic Technologies (CUBIST). Currently, she is a visiting researcher at Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, The University of Manchester. Dayang has expertise in Spatiotemporal image analysis, semantic representation and retrieval, her research focuses on minimising the gap between image features and high-level semantics in the domain of medicine, agriculture and astronomy.
Keynote #3: Cyber-Physical Human Centric Framework for Society 5.0
Associate Professor Dr.
Yuto Lim
JAIST, Japan
Japan will take the lead to realize a super-smart society, Society 5.0 ahead of the rest of the world. Society 5.0 that aims to achieve a human-centered society utilizes the tight integration of cyber space and physical space to enable Internet of Things (IoT), Cyber-Physical Systems (CPS), Artificial Intelligence (AI) and Big Data to realize economic development while solving key social problems. In Japan, examples of Society 5.0 especially Super City will be delivered in this talk. Also, the domain of smart homes known as the best practice for realizing the mimic model of our future human-centered society will be introduced. In this talk, I will introduce a Cyber-Physical Human Centric Framework using the CPS approach, as a current trend of IoT for the promising smart homes. Besides that, the dependability is an essential measure of system ability to provide services such as availability, reliability, safety, security, and maintainability. Today, this dependability concept has been widely and usually used in design and analysis of information systems. Due to the rapid increase of devices and home appliances in the smart homes, its importance in control and management has increased drastically in order to guarantee the dependability of smart homes. The Cyber-Physical Human Centric Framework is highly expected to offer a dependable and unified network operation and management to facilitate efficient implementation and reduce processing load in the smart home domain.
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.
Keynote #4: Indoor/Outdoor Localization Techniques using Radio Frequency Engineering
Professor Dr.
Raed A Abd-Alhameed
University of Bradford, UK
This keynote speech covers the following:
Localization accuracy enhancement using Time of Arrival (TOA) estimation technique over OFDM wide-band spectrum.
A low cost-effective method of tracking and monitoring for patient/ elderly people, by employing passive radio frequency identification (RFID) systems.
Distributed Wearable RFID System for Indoor Patient Tracking and Monitoring
Touchless Mobile Approach to Patient Location and Orientation Recognition for Elderly Care Home
Implementation scheme for a wideband transmission and direction finding system (Angle of Arrival AOA) using OFDM multi-carrier communications systems over adverse channel conditions.
Smart Tracking Based on OFDM for outdoor Tracking
AOA Localization for Vehicle Tracking Systems Using a Dual-band Sensor Array
RAED A. ABD-ALHAMEED (M’02, SM’13) is a Professor of electromagnetic and radiofrequency engineering with the University of Bradford, U.K. He is the Leader of radiofrequency, antennas, propagation, sensor design, and signal processing including the Communications Research Group for years within the School of Engineering and Informatics, University of Bradford, United Kingdom. He has published over 800 academic journals and conference papers; in addition, he has co-authored seven books and several book chapters including seven patents. He is a principal investigator for several funded applications to EPSRCs and the leader of several successful knowledge Transfer Programmes, such as with Arris (previously known as Pace plc), Yorkshire Water plc, Harvard Engineering plc, IETG Ltd., Seven Technologies Group, Emkay Ltd., and Two World Ltd. He has also been a co-investigator in several funded research projects including: 1) Horizon 2020 Research and Innovation Programme under grant agreement H2020-MSCA-RISE-2019-eBORDER-872878; 2) H2020 MARIE Skªodowska-CURIE ACTIONS: Innovative Training Networks; 3) European Space Agency: Satellite Network of Experts V; 4) Nonlinear and demodulation mechanisms in biological tissue from Dept. of Health, Mobile Telecommunications & Health Research Programme. His interest in computational methods and optimizations, wireless and mobile communications, sensor design, EMC, beam steering antennas, energy-efficient PAs, and RF predistorter design applications. He is a fellow of the Institution of Engineering and Technology and a fellow of the Higher Education Academy and a Chartered Engineer.