Jan Treur has been a full professor of AI since 1990 and is a well-recognized expert in the area of multidisciplinary human-like AI modeling. He has published over 700 well-cited papers about cognitive, affective, and social modeling and AI systems making use of such models. He has also supervised more than 40 Ph.D. students in these areas and from 2016 on written and edited three books on (adaptive) network-oriented AI modeling and its application in various other disciplines. Current research addresses the modeling of higher-order adaptive processes by self-modeling network models with a specific focus on mental processes based on internal mental models and their use by internal simulation, their learning or formation (including organizational learning), and the control over them. An application focus is on the development and use of shared mental models supporting the road toward a just safety culture in organizations such as hospitals. A joint Springer Nature book about computational modeling of multilevel organizational learning is in preparation and will come out by the end of 2022 or the beginning of 2023.
Dr. G Venkatasubramanian is currently working as a Professor of Psychiatry, at the National Institute of Mental Health and Neurosciences (NIMHANS), India. He received his MBBS degree from Stanley Medical College, Chennai, India in 1998. He obtained his MD and Ph.D. in Psychiatry from the National Institute of Mental Health and Neurosciences, Bengaluru, India in 2001 and 2013 respectively. He received the prestigious Shanti Swarup Bhatnagar Prize in the field of Medical Sciences in 2018. His overarching research interest is to learn the science that will facilitate a personalized approach to understanding and treating severe mental illnesses like Schizophrenia, bipolar disorder, depression, and several others. In pursuit of this, he has been involved in translationally relevant research studies to understand the clinical neurobiology of these disorders.
Musaev Mukhamadjan Makhmudovich, was born in Uzbekistan. After graduating from the Tashkent State Technical University, he worked at the Academy of Sciences of the Republic of Uzbekistan. He has the degree of Doctor of Science (Doctor of Science), works as a professor at the Tashkent University of Information Technologies. He conducts courses in signal and image processing, is the author of several books and textbooks. The area of scientific interests of Professor Musaev M.M is the processing of speech and medical signals, the development of parallel algorithms for spectral analysis, recognition algorithms and intelligent analysis of speech signals using multi-core and graphics processors.
Dr. Ingmar Weber is an incoming Alexander von Humboldt Professor in AI at Saarland University. His interdisciplinary research looks at what online user-generated data can tell us about the offline world and society at large. Working closely with sociologists and demographers he has pioneered the use of online advertising data for complementing official statistics on international migration, digital gender gaps, and poverty. His work is regularly featured in UN reports, and analyses performed by his team have been used to improve operations by UN agencies and NGOs ranging from Colombia to the Philippines. Prior to joining Saarland University, Dr. Weber held positions at the Qatar Computing Research Institute, Yahoo Research Barcelona, and École Polytechnique Fédérale de Lausanne. As an undergraduate, he studied mathematics at the University of Cambridge before pursuing a Ph.D. at the Max-Planck Institute for Computer Science. He is an ACM Distinguished Member, and his work has been cited more than 10k times.
SHIHO KIM is a professor in the school of integrated technology at Yonsei University, Seoul, Korea. His main research interest includes developing software and hardware technologies for intelligent & autonomous vehicles and reinforcement learning for Cyber-physical systems. He has directed Seamless Trans-X Lab since 2011, and he founded I4FT(Interuniversity alliance for Future vehicular Technology) supported by the KIAT (Korea Institute for Advancement of Technology) grant funded by the Korean Government(MOTIE) in 2022. He is a member of the editorial board and reviewer for various Journals and International conferences. So far, he has organized two International conferences as Technical Chair/General Chair. He is a member of IEIE (Institute of Electronics and Information Engineers of Korea), KSAE (Korean Society of Automotive Engineers), vice president of KINGC (Korean Institute of Next Generation Computing), and a senior member of IEEE. He is the co-author of over 100 papers and more than 50 patents, writing five books in his research area.
Abstract: Revolutionary technological advances in artificial intelligence, ultra-low latency connectivity (beyond 5G & 6G), blockchain, Web 3.0, and decentralized autonomous systems enable a new era of cyber-physical systems and various applications for the Metaverse platform. In the Digital Era of the future, where a real physical object is synchronized with its virtual model in a cyber system, we can anticipate that traditional business practices, social structures, and lifestyles may be changed entirely. The revolutionary advancement in the technologies mentioned above a new definition of ownership of properties; hence, it opens immense possibilities for the direction of research and development in the Digital Era. In this talk, the speaker will discuss how blockchain and NFT can provide a decentralized autonomous exchange of digitalized or virtual digital assets as well as real or physical assets through smart contacts and a new concept of ownership in the Digital Era.