on 28 October 2021

International Symposium on Community-centric Systems

at Tokyo Metropolitan University (Zoom)

A one-day summit of seminars, invited talks and research presentations

Recently, the importance of community-centric systems (CcS) is increasing as a new paradigm in a highly aging society. The emerging synthesis of ICT, and robot technology (RT) is one of the most promising approaches towards information support for the next generation in both personal and public areas. Human-centric systems (HcS) can enhance the accessibility and usability of complicated systems and devices supporting human activities, communication, and interactions. Furthermore, the HcS can improve quality of life (QOL), in particular, information support, physical care, and mental care to maintain autonomy and independence in activities of daily living. If the improvement of QOL is done by the bottom-up construction, QOC can be considered as a top-down constraint to human daily life.

The International Symposium on Community-centric Systems (CcS 2021) is organized by the Research Center for Community-centric Systems, Tokyo Metropolitan University. The symposium offers a unique and interesting platform for scientists, engineers, and practitioners throughout the world to present and share their recent research and innovative ideas on community-centric systems (CcS) that can improve quality of life (QOL) and quality of community (QOC).

Speakers

Professor Chang-Shing Lee

Chang-Shing Lee is currently a Professor with the Department of Computer Science and Information Engineering, National University of Tainan (NUTN), Taiwan. His current research interests include artificial intelligence, adaptive assessment and self-learning, intelligent agent, ontology applications, Capability Maturity Model Integration (CMMI), fuzzy theory and applications, and machine learning. He also holds several patents on Fuzzy Markup Language (FML), ontology engineering, document classification, image filtering, and healthcare.

Professor Zhaojie Ju

Zhaojie Ju is a Professor in Machine Learning and Robotics, in the School of Computing, University of Portsmouth. He previously held research appointments in the Department of Computer Science in University College London, and Portsmouth, UK. His research interests are in machine intelligence, robot learning, pattern recognition and their applications in robotic/prosthetic hand control and human-robot interaction.


Dr. Chee Seng Chan

Chee Seng Chan is an Associate Professor in University of Malaya. His research interests include computer vision and machine learning with focus on scene understanding. He is also interested in the interplay between language and vision: generating sentential descriptions about complex scenes. He was the founding Chair for the IEEE Computational Intelligence Society (CIS) Malaysia chapter, the organising chair for ACPR in 2015, and general chair for MMSP in 2019 & VCIP in 2013. He is a Senior Member of IEEE, a Chartered Engineer and a Member of IET.

Venue

Zoom


The symposium will be held as an entirely digital event

Let us know if you'll be attending!