- Toward Smart City Thailand
- Komsan Maleesee
- Acting President, KMITL
Designing future smart cities is an art of balancing between technologies and demographic culture for each region with citizens’ health, wellbeing, and security as main objectives. While most smart cities use technology to improve all aspects of it, from governance to management and design and planning, people-centered design is essential to make a city “smart”, sustainable, and provide the best quality of life to its citizens. In this talk, we will explore various aspect of designing a future smart city from Thailand’s seven criteria: smart mobility, smart people, smart economy, smart living, smart energy, smart environment, and smart governance. Successful case studies of Thailand smart city implementations are presented to highlight the use of technologies to its fullest potentials while keeping the wellbeing of its citizen at heart. Public-private partnership business model is used to ensure the sustainability of each solution implemented. Lessons learned from current smart cities case studies and recommendations for future implementations will also be presented.
Komsan Maleesee received the B.S. degree in construction engineering from King Mongkut's Institute of Technology, in 1993 and the M.S. and Sc.D. degrees in Civil Engineering from Tokai University, in 2001 and 2005, respectively. From 2005 to 2020, he was 39th president of The Council of Engineering Deans of Thailand and Dean of faculty of engineering in King Mongkut's Institute of Technology Ladkrabang. From 2020, he has been an acting president in KMITL, senior executive vice president for University Resources and Services (Acting) in KMITL, and KOSEN-KMITL Acting President.
- "VisionX: Semantic communication Meets System2 ML"
- Mehdi Bennis
- University of Oulu, Finland
This keynote talk will first provide a brief introduction of VisionX sitting at the intersection of machine learning and communication in terms of enablers and mathematical tools, while contrasting it with current efforts in the area. Then, recent results in semantics-native communication and learning communication protocols from data will be presented.
Dr Mehdi Bennis is a full (tenured) Professor at the Centre for Wireless Communications, University of Oulu, Finland and head of the intelligent connectivity and networks/systems group (ICON). His main research interests are in radio resource management, game theory and distributed AI in 5G/6G networks. He has published more than 200 research papers in international conferences, journals and book chapters. He has been the recipient of several prestigious awards including the 2015 Fred W. Ellersick Prize from the IEEE Communications Society, the 2016 Best Tutorial Prize from the IEEE Communications Society, the 2017 EURASIP Best paper Award for the Journal of Wireless Communications and Networks, the all-University of Oulu award for research, the 2019 IEEE ComSoc Radio Communications Committee Early Achievement Award, the 2020 Clarviate Highly Cited Researcher by the Web of Science and the 2022 Fred W. Ellersick Prize from the IEEE Communications Society. Dr Bennis is an editor of IEEE TCOM and Specialty Chief Editor for Data Science for Communications in the Frontiers in Communications and Networks journal. Dr Bennis is an IEEE Fellow.
- "Towards an Immersive Metaverse over Wireless 6G Networks"
- Walid Saad
- Virginia Tech, USA
By merging the virtual, digital, and physical worlds, the metaverse will transform the way in which people interact, communicate, conduct business, travel, and remotely control devices within immersive, connected, multi-sensory holographic societies. The metaverse will usher in a new society, dubbed Society 5.0, in which a high integration between cyber and physical spaces is necessary to balance economic advancement with the resolution of current and emerging social challenges. However, in order to deploy the metaverse at scale, a confluence of various technologies, ranging from wireless communication systems to digital twins, extended reality, and artificial intelligence (AI) is needed. In this talk, we explore the synergistic integration of these technologies, and its role in enabling a harmonious metaverse operation. We first focus on the at-scale deployment of the metaverse over wireless 6G systems, and we study whether 6G (with terahertz bands) can deliver the stringent rate, reliability, and latency needed to deliver the quality of physical experience needed to connect the virtual worlds of the metaverse. We then introduce a novel framework for modeling, analyzing, and optimizing the metaverse while taking into account all of its key components including digital twins. Then, we explore the new paradigm of semantic communications that creates AI native, reasoning wireless systems that can seamlessly and autonomously grow and evolve with their data so as to meet the stringent quality-of-experience (QoE) needs of metaverse applications and systems. We discuss specifically what fundamentals are needed to design realistic semantic communication systems, and how those can contribute to the metaverse. Subsequently, we discuss the role of continual AI in synchronizing the operation of digital twins within the metaverse. We conclude with an overview on future research in this exciting area.
Walid Saad received his Ph.D degree from the University of Oslo in 2010. He is currently a Professor at the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Network sciEnce, Wireless, and Security (NEWS) laboratory. His research interests include metaverse, Semantic networking, 6G networks, machine learning, game theory, unmanned aerial vehicles, cyber-physical systems, and network science. Dr. Saad is a Fellow of the IEEE and an IEEE Distinguished Lecturer. He is also the recipient of the NSF CAREER award in 2013, the AFOSR summer faculty fellowship in 2014, and the Young Investigator Award from the Office of Naval Research (ONR) in 2015. He was the author/co-author of nine conference best paper awards at WiOpt in 2009, ICIMP in 2010, IEEE WCNC in 2012, IEEE PIMRC in 2015, IEEE SmartGridComm in 2015, EuCNC in 2017, IEEE GLOBECOM in 2018, IFIP NTMS in 2019, and IEEE ICC in 2020. He is the recipient of the 2015 Fred W. Ellersick Prize from the IEEE Communications Society, of the 2017 IEEE ComSoc Best Young Professional in Academia award, of the 2018 IEEE ComSoc Radio Communications Committee Early Achievement Award, of the 2019 IEEE ComSoc Communication Theory Technical Committee, and of the 2022 IEEE Fred W. Ellersick Prize. He was also a co-author of the 2019 IEEE Communications Society Young Author Best Paper. From 2015-2017, Dr. Saad was named the Stephen O. Lane Junior Faculty Fellow at Virginia Tech and, in 2017, he was named College of Engineering Faculty Fellow. He received the Dean's award for Research Excellence from Virginia Tech in 2019. He currently serves as an editor for the IEEE Transactions on Mobile Computing and the IEEE Transactions on Cognitive Communications and Networking. He is an Editor-at-Large for the IEEE Transactions on Communications.
- "AI+Energy: AI Techniques towards the Carbon Neutral Era"
- Chong-Kwon Kim
- KENTECH, Korea
Environmental damages and climate abnormalities due to the CO2 emissions have been the center of concern for the last several years and many countries aim to achieve carbon neutrality by year 2050. Electrification has emerged as the sole solution that can accomplish the target. Electrification of energy requires an astronomical amount of investment on renewable energy sources such as photovoltaics, wind turbines, and etc. In addition, to provision the stable energy supply, various energy conversion and energy storage devices are required. The total energy system is too large and complex and it requires light speed monitoring and control mechanisms. Several prior studies have shown that various AI techniques enhance the efficiency of the energy systems. However, the optimal control problem for holistic energy systems is still remained as an untrodden research area. We will discuss the endeavors towards the carbon neutral era emphasizing the integration of AI and energy technologies.
Dr. Chong-Kwon Kim received his Ph.D degree from the University of Illinois at Urbana-Champaign at 1987. He is currently a Distinguished Professor at Korea Institute of Energy Technology (KENTECH). He is serving on a Director of Research Institute of Energy AI at KENTECH, focusing on the integration of AI technology into various problems in energy area. Before KENTECH, he has worked as an MTS at Bell Communications Research from 1987 to 1991 and as a professor at the Seoul National University from 1991 to 2021. During his 30 plus more career, he published more than 100 research papers in the field of computer network, performance analysis, machine learning and data mining. He has served on a president of Korea Institute of Information Scientists and Engineers during 2014 and 2015 and has been serving on steering committee of several international conferences. His research interests include machine learning and its applications to energy systems.
