IEEE CyberSciTech/ PICom/ DASC/ CDBCom 2024

November 5-8, 2024


Towards Active Inference for Distributed Intelligence in the Computing Continuum

Schahram Dustdar, Professor
Head of the Research Division of Distributed Systems at the TU Wien, Austria and part-time ICREA Research Professor UPF, Barcelona, Spain

Abstract: Modern distributed systems also deal with uncertain scenarios, where environments, infrastructures, and applications are widely diverse. In the scope of IoT-Edge-Fog-Cloud computing, leveraging these neuroscience-inspired principles and mechanisms could aid in building more flexible solutions able to generalize over different environments. A captivating set of hypotheses from the field of neuroscience suggests that human and animal brain mechanisms result from a few powerful principles. If proved to be accurate, these assumptions could open a deep understanding of the way humans and animals manage to cope with the unpredictability of events and imagination.

Biography: Schahram Dustdar is a Full Professor of Computer Science at the TU Wien, heading the Research Division of Distributed Systems, Austria. He holds several honorary positions: University of California (USC) Los Angeles; Monash University in Melbourne, Shanghai University, Macquarie University in Sydney, and University Pompeu Fabra, Barcelona, Spain. From Dec 2016 until Jan 2017 he was a Visiting Professor at the University of Sevilla, Spain and from January until June 2017 he was a Visiting Professor at UC Berkeley, USA. From 1999 – 2007, he worked as the co-founder and chief scientist of Caramba Labs Software AG in Vienna (acquired by ProjectNetWorld AG), a venture capital co-funded software company focused on software for collaborative processes in teams. He is the co-founder of (an EdTech company based in the US) and co-founder and chief scientist of, a Nanjing, China-based R&D organization focusing on IoT and Edge Intelligence. He serves as Editor-in-Chief of Computing (Springer). Dustdar is the recipient of multiple awards: IEEE TCSVC Outstanding Leadership Award (2018), IEEE TCSC Award for Excellence in Scalable Computing (2019), ACM Distinguished Scientist (2009), ACM Distinguished Speaker (2021), IBM Faculty Award (2012). He is an elected member of the Academia Europaea: The Academy of Europe, as well as an IEEE Fellow(2016) and an Asia-Pacific Artificial Intelligence Association (AAIA) Fellow (2021) and was AAIA president (from 2020-2021).

Processing and Application of Physiological and Motor Signals in Assistive Robotics

Jinhua She, Professor
The Graduate School of Bionics, Computer and Media Sciences/Control Theory and Applications, Tokyo University of Technology, Japan

Abstract: Japan entered a super-aged society [percentage of old people (≥ 65 yrs old) ≥ 21%] in 2005. Nowadays, the aging problem in Japan is very serious. As a measure to cope with aging, research related to assistive robots has been widely carried out. In this talk, I will explain how we process physiological and motor signals and make full use of them to build control systems for the assistive robots we have developed, using examples of an electric trolley, a left-right independent treadmill, and a sit-to-stand assistive machine.

Biography: Dr. She received his B.S. degree in engineering from Central South University, Changsha, China, in 1983; and his M.S. and Ph.D. degrees in engineering from Tokyo Institute of Technology, Tokyo, Japan, in 1990 and 1993, respectively. In 1993, he joined the School of Engineering, Tokyo University of Technology, where he is currently a professor. Dr. She's research interests include the applications of control theory, repetitive control, active disturbance rejection, and assistive robotics. He has published more than 400 journal papers and 6 monographs. He received the IFAC (International Federation of Automatic Control) Control Engineering Practice Paper Prize in 1999 (jointly with M. Wu and M. Nakano), and was included in the list of Thomson Reuters' Highly Cited Researchers from 2013 to 2015 and World’s Top 2% Scientists since 2019. Dr. She is an IEEE Fellow, serves as an IEEE HI-TC Advisory Board member (2021-present) and an AdCom member of IEEE IES (2022-2024), was the Delegate of Cluster 4 of IEEE IES Technical Committees (2019-2021), and the chair of the Technical Committee on Human Factors (2017-2018). He is an Associated Editor of IEEE Transactions on Industrial Electronics, IEEE Journal of Emerging and Selected Topics in Industrial Electronics, and IEEJ Journal of Industry Applications, Journal of Advanced Computational Intelligence and Intelligent Informatics, and Intelligence & Robotics; and a Technical Editor of IEEE/ASME Transactions on Mechatronics.