Professor Koichiro Ishibashi – The University of Electro-Communications, Tokyo, Japan
Title: RF Energy Harvesting Technology and IoT applications
Abstract: The use of IoT (Internet of Things), in which sensors are placed everywhere and measured data is connected to the Internet, is expanding. In the near future, as many as one trillion sensors will be produced, called TSU (Trillion Sensor Universe), and will be placed at agriculture and aquaculture farms, factories, offices, homes, infrastructure, etc. The collected data become Big Data and it is processed into useful information by AI. By effectively using this information, it is possible to improve the productivity of agriculture, fisheries, and factories, to save energy in offices and homes. Then IoT will be common technology for various applications soon.
Since IoT sensors are placed everywhere, the way to send data is digital signal with wireless RF transmission. DC power supply by batteries is usually used, nowadays, however, it is difficult to replace 1 trillion batteries. Instead, energy harvesting technology that collects environmental energy is used as a power source of IoT sensors. In modern society, all kinds of radio frequency waves (RF) are flying around everywhere where people live at any time. If the energy of these radio waves can be collected as the power source for IoT sensors, both wireless power supply and wireless data transmission will be possible to realize an IoT sensor that does not require cable or battery.
In this key note speech, I will introduce our approach to realize IoT systems utilizing RF energy harvesting and low power IoT sensors. Our developing IoT sensor called as Beat Sensor with LoRa consumes 50uW power and achieves long range communication of more than 500m. The power is generated by RF energy harvesting without battery. This Beat Sensor with LoRa powered by RF energy harvesting could realize real IoT era.
Biography: Dr. Koichiro Ishibashi has been a professor of The University of Electro-Communications (UEC), Tokyo, Japan since 2011. He has been the Director of UEC ASEAN Research and Education Center (UAREC) since 2017. He has been serving a guest professor at Ho Chi Minh City University of Technology and Ho Chi Minh City University of Science since 2012.
After receiving PH. D degree from Tokyo Institute of Technology in 1985, he worked at Central Research Laboratory, Hitachi Ltd., at Semiconductor Technology Academic Research Center (STARC) and at Renesas Electronics, where he had investigated low power technologies for high density SRAMs and MCUs. Since 2005, he has been a Fellow of IEEE for the technical contributions to developments of low-power SRAMs and MCUs.
He has presented more than 200 academic papers at international conferences and journals including more than 20 invited presentations. He was awarded R&D 100 for the development of SH4 Series Microprocessor in 1999.
His current interests are IoT technologies including Ultra low power LSI design technology, Technologies for energy harvesting sensor networks and applications, and Biomedical electronics using contactless sensors and data processing by AI.
Professor Duong Quang Trung – The Queen’s University of Belfast, Belfast, United Kingdom
Title: From Digital Twin to Metaverse: The Role of 6G Edge Intelligence-based Ultra-Reliable and Low Latency Communications
Abstract: Since the Apollo 13, a mission where NASA used digital twin (DT) technology to successfully rescue three astronauts, DT has been become a game-changing technology in many applications including smart city, manufacturing, automotive, gaming, entertaining, and climate resilience. With the advanced development of DT together with mobile AR/VR and tactile Internet, Metaverse has re-emerged as a new form of Internet since the first time the concept appeared in the science fiction by Stephenson in 1992. However, it is still a long way off from fully achieving the immersive and pervasive Metaverse. First and foremost, the wireless communications, networking, and computing for digital twin are still in their infancy, especially, to achieve the stringent QoS constraints in terms of very high data rates, ultra-high success reception rate, and minimal latency. Recently, mobile edge computing and caching empowered wireless ultra-reliable and low-latency communications (URLLC) in 6G have been considered as a key technique to realise the full potential of Metaverse. This talk will discuss an innovative paradigm of edge intelligent-empowered URLLC in 6G, not only its basic requirements, but also enabling technologies, visions, and challenges.
Biography: Dr. Trung Quang Duong (IEEE Fellow) is a Chair Professor of Telecommunications at Queen’s University Belfast, UK and a Research Chair of the Royal Academy of Engineering, UK. His current research interests include optimisation, signal processing, and machine learning in wireless communications.
He has published more than 400 books/book chapters/journal articles/conference papers with 14,000+ citations and h-index 64. He has served as an Editor for the IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transaction on Vehicular Technology, IEEE Communications Letters, and IEEE Wireless Communications Letters.
He has received the Best Paper Award at the IEEE VTC-Spring in 2013, IEEE ICC in 2014, IEEE GLOBECOM in2016, IEEE DSP in 2017, and IEEE GLOBECOM 2019. He is the recipient of the Royal Academy of Engineering Research Fellowship (2015-2020) and the prestigious Newton Prize 2017. He is a Fellow of IEEE.
Professor K. V. S. Hari – Indian Institute of Science, Bangalore, India
Title: Understanding Visual word Representations in the Human Brain
Abstract: Reading causes widespread changes in the human brain and it eventually leads to the formation of a specialized region to process text that is popularly known as Visual Word Form Area (VWFA). Writing script systems differ widely across diverse cultures but VWFA can always be mapped out to the same anatomical region in the human brain. However, VWFA response is not specific to a known script and also responds to an unknown script albeit weakly. In this talk, we address the objective of understanding how letters combine to form words. We present the methodology of designing behaviour and functional Magnetic Resonance Imaging (fMRI) brain imaging experiments comparing the visual representation of readers and non-readers of a given script and building the relevant computational models. The effectiveness of the proposed model is studying using statistical measures using the correlation between the signals recorded. Further, we will use the proposed model to explain other reading behaviours like the difficulty in reading jmubeld wrods and answer related questions in children with reading difficulty.
Biography: K V S Hari is a Professor in the Department of ECE, Indian Institute of Science, Bangalore. He holds a PhD (Systems science) from U C San Diego and has been a visiting faculty at Stanford University and Affiliate Professor at KTH- Royal Institute of Technology, Stockholm. His research interests are in Signal Processing and Deep Learning with applications to 5G wireless communications, indoor positioning, radar systems, autonomous navigation, neuroscience, and affordable MRI systems.
He is a co-author of the IEEE 802.16 standard on wireless channel models and has conducted drone-ground wireless channel modelling experiments with support from Qualcomm. He has been part of the Indo-UK Advanced Technology Centre (IU-ATC) which involved active collaboration with University of Southampton and other universities. He currently leads the BT India Research Centre (BTIRC) at Indian Institute of Science. He is a member of the Board of the UK-India Future Networks Initiative (UKI-FNI) which involves University of East Anglia, University of Surrey, University of Southampton, UCL, BT, IIT Delhi. He currently collaborates with TU Delft, University of Bordeaux, THALES, GE Healthcare, WIPRO, Christian Medical College and Sree Jayadeva Institute of Cardiovascular Sciences. He is currently the Chair, Standardisation Committee, Telecom Standards Development Society, India (TSDSI).
He was an Editor of EURASIP’s Signal Processing (2006-16) and is currently the Editor-in-Chief (Electrical Sciences) of Sadhana (2018–) , the journal of the Indian Academy of Sciences published by Springer. He is a Fellow of the Indian National Academy of Engineering, Indian National Science Academy and IEEE. He is on the Board of Governors, IEEE Signal Processing Society as VP-Membership. More details at http://ece.iisc.ac.in/~hari.