IEEE Smart World Technical Committee
Task Force on "User-Centred Smart Systems"

Task Force Chair

Tao Zhu, University of South China, Hengyang, China
Tao Zhu received his B.E. degree from Central South University, Changsha, China, and Ph.D. degree from University of Science and Technology of China, Hefei, China, in 2009 and 2015 respectively. He is current an associate professor of University of South China, Hengyang, China. Before that, he was a lecturer and post-doctor of University of Science and Technology Beijing, China.  He is the principal investigator of several projects funded by National Natural Science Foundation of China and Science Foundation of Hunan Province etc., and has published one book and more than 30 papers. He served as the program committee member of some international conferences. His research interests including internet of things, pervasive computing, assisted living and evolutionary computation

Task Force Vice-Chair

Konstantinos Votis,Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Greece
Dr Votis is a Senior Researcher and Blockchain Team leader at CERTH/ITI, and also a Visiting professor at the University pf Ulster, UK and the University of Nicosia, Cyprus regarding Internet of the Future activities (e.g. Decentralized Ledger Technologies). He received an MSc and a Ph.D. degree in computer science and service oriented architectures from Computer Engineering and Informatics department, University of Patras, Greece. In addition, he holds an MBA from the Business School department in the University of Patras. Since 2001, Dr. Votis has participated in more than 40 Research and Development projects in the fields of HCI, IoT, information Visualisation and data analytics, personal health systems, cybersecurity, but also in the area of distributed ledger technologies. He is also involved to EU Blockchain observatory and forum while he has contributed to standardization activities like CEN/CENELEC Blockchain technologies, European Cybersecurity Organisation (ECSO), European Blockchain Partnership (EBP) for the European Blockchain Services Infrastructure implementation (EBSI). Actually, regarding EBSI, he is involved as National representative for Greece. Areas of expertise: HCI, AI/ML, Decentralised Technologies, experience on European Blockchain Services Infrastructure.

Liming (Luke) Chen, Ulster University, United Kingdom
Dr Chen is Professor of Data Analytics, Research Director for School of Computing at Ulster University, UK. His current research interests include data analytics, pervasive computing, artificial intelligence, user-centred intelligent systems and their applications in smart healthcare. Dr Chen is an IET Fellow, an IEEE Senior Member, a co-founder and co-director of the IEEE CIS " User-centred Smart Systems " Task Force. He is currently the co-investigator of the British Telecommunication Ireland Innovation Centre, and was the coordinator of the EU Horizon2020 MSCA ITN ACROSSING project and has serves as the principal investigator for the EU AAL PIA project, the MobileSage project and FP7 MICHELANGELO project, and a number of projects funded by industry and third countries. Dr Chen has over 230 publications in internationally recognised journals, book series and conferences. He is the general chair or program chair for IEEE Smart World Congress 2019, IEEE UIC2017, IEEE HealthCom2017, SAI Computing 2017, IEEE UIC2016, IntelliSys2016, MoMM2015/2014, SAI2015, IWAAL2014, UCAMI2013, and an organising chair of many workshops. He is an associate editor of IEEE THMS, and guest editors for IEEE Computer and THMS, Elsevier PMC and IJDSN and Springer PUC and AIHC. He has delivered nearly 30 talks, keynotes and seminars in various forums, conferences, industry and academic events. Luke has served as an expert for research funding assessment for UKRI, EU Horizon2020, Canada, Chile, Netherlands and Denmark.

Wenbing Zhao, Cleveland State University, USA
Dr. Zhao is a Professor at the Department of Electrical Engineering and Computer Science, Cleveland State University. He earned his Ph.D. at University of California, Santa Barbara in 2002. Dr. Zhao has been doing research on smart and connected health since 2010. He has over 160 peer-reviewed publications and a research monograph on building dependable distributed systems, and a US patent (pending) on privacy-aware human activity tracking. He has served on several US National Science Foundation (NSF) panels for the smart and connected health, and the smart and autonomous systems programs. Dr. Zhao#8364;™s research has been funded by the US NSF, US Department of Transportation, Ohio Bureau of Workers#8364;™ Compensation, Ohio Department of Higher Education, and Ohio Development Services Agency. He has delivered more than 10 keynotes, tutorials, public talks and demonstrations in various conferences, industry and academic venues. Dr. Zhao is a senior IEEE member, and is a member of the IEEE SMC TC on Cybermatics for Cyber-enabled Worlds.

Huansheng Ning, University of Science and Technology Beijing, China
Huansheng Ning is a Professor and Associate Dean of School of University of Science and Technology Beijing (USTB), Founder and Chair of Cybermatics and Cyberspace International Science and Technology Cooperation Base, Co-founder and Vice Chair of Beijing Engineering Research Center for Cyberspace Data Analysis and Applications. IEEE Computer Society Golden Core Member Award�ŒIEEE Senior Member. Co-Founder and Co-Chair of IEEE Systems, Man, and Cybernetics Society Technical Committee on Cybermatics , Vice Chair of IEEE Computational Intelligence Society Emergent Technologies Technical Committee Task Force on Smart Word. IEEE Internet of Things Journal Steering Committee Member, Associate Editor of IEEE Systems Journal and IEEE Internet of Things Journal. Host and Executive Chair of the 2013 World Cybermatics Congress ( and the 2015 SmartWorld Congress (; Steering Committee Member of IEEE international conference on Internet of Things (iThings), Co-Founder and Steering Co-Chair of IEEE International Conference on Cloud and Big Data Computing (CBDCom), and IEEE International Conference on Internet of People (IoP).

Committee Members:

IEEE Smart World Technical Committee Task Force on User-Centred Smart Systems


With the rapid development, maturity and prevalence of the latest emerging technologies such as advanced sensing, mobile computing, the Internet of Things, pervasive computing, computational intelligence, deep learning, big data analytics, smart objects/device and cloud computing, a new wave of applications which support context awareness, novel multimodal interactions, personalisation, adaptation, high-level automation, anywhere and anytime computing, have attracted increasing attention. Such applications, including these built upon the conception of smart homes, smart cities, intelligent transport, service robots, smart cyber-physical systems, to name but a few, will change the way we live, work, travel and do business, thus having the huge potential of impacting the society and economy. One of the central research areas among these underpinning research topics and enabling technologies is the science and engineering of user-centred smart systems which are concerned with, and support context awareness, personalisation, and adaptation. User-centred smart systems place special emphases on intelligence, including computational intelligence, interactive intelligence and cognitive intelligence, and co-design, co-development, user experience, accessibility and acceptability of technologies, systems and services, in particular in the envisioned future smart world environments. As a typical example, user-centred smart systems have been widely studied and used to support personalized care and medicine, just-in-time independent living, self-care and self-management, early risk detection and intervention.

Though research and technology development on user-centred smart systems, supported by the wide availability of affordable sensing and effective processing technologies, has been intensified over the last decade, it remains a challenge to develop and deploy user-centred smart systems that can handle daily life situations and support a wide range of use scenarios. User-centred smart systems need to be adaptive to the needs and wants of different cohorts of users, to the diverse natures and characteristics of operation environments, and interoperable for heterogeneous applications, thus enabling seamless technology integration and rapid application development. In addition, further research and development is needed for a service-oriented cloud-based system architecture that can support reconfiguration and modular design which is essential for reusability and scalability of such systems.

To establish the TF on User-Centred Smart Systems is a timely effort to help address the challenges faced by this core research area. The TF will provide a venue, opportunities and platform for academic researchers, industrial technology and solution developers, application service providers and users, to 1) disseminate and exchange the latest research outcomes, technologies and products; 2) share views, perspectives and visions; 3) establish consensus, alliances and joint efforts; 4) promote best practice, research translation and user experiences; and 5) further identify future trends and directions, with the ultimate purpose of promoting research, innovation and sustainable development to impact society and economy.



Activities within the above topical areas will focus on human-centred systems in smart healthcare, intelligent transport, smart cities and smart energy.

Planned Activities