IEEE Smart World Technical Committee Task Force on "User-Centred Smart Systems"
Task
Force Chair
Liming
Chen, De Montfort University, UK
Liming Chen is Professor of Computer Science, Head of the Context,
Intelligence and Interaction Research Group and its associated Smart
Lab. in the School of Computer Science and Informatics, De Montfort
University, UK. He obtained his B.Eng. and M.Eng. from Beijing
Institute of Technology, Beijing, China, and Ph.D in Artificial
Intelligence from De Montfort University. His current research
interests include activity modelling and recognition, computational
behaviour analysis, personalisation and adaptation of human-machine
systems, decision support, smart environments and their application in
smart homes and ambient assisted living. He is currently the
coordinator of the EU Horizon2020 ACROSSING project and was the
principal investigator for the EU FP7 MICHELANGELO project, EU AAL PIA
and MobileSage projects and many other projects funded by industry and
third countries. Liming has over 170 peer-reviewed publications in
high-profile journals and conferences. He is the general chair or
program chair for IEEE UIC2017, IEEE HealthCom2017, SAI Computing 2017,
IEEE UIC2016, IntelliSys2016, MoMM2015/2014/2013, SAI2015/2013,
IWAAL2014, UCAMI2013, and an organising chair for many workshops,
associate editor of IEEE THMS, assistant EIC for IJPCC and guest
editors for IEEE THMS, PMC and IJDSN. Liming is a member of IEEE, IEEE
SMC and the ETTC Task Force on Smart World, and an expert of the EU
H2020 evaluation panel and UK EPSRC Peer Review College, and also the
research councils of the Netherlands and Chile. He has delivered around
20 keynotes, public talks and seminars in various forums, conferences,
industry and academic events.
Task
Force Vice-Chair
Jan
Alexandersson, DFKI GmbH, Germany
Dr Jan Alexandersson is Research Fellow at the department of
Intelligent User Interfaces at the German Research Center for
Artificial Intelligence, DFKI GmbH, head of the DFKI Competence Center
for Ambient Assisted Living, President of the OpenURC Alliance, and CEO
of ki elements, a startup focusing on assessing neurocognitive
disorders by advanced analysis of spoken language. He has published
around 100 peer-reviewed articles, papers and edited volumes on a wide
range of topics including natural language processing, multimodal
interaction, personalization and accessibility, security issues in
smart homes & smart energy scenarios, early detection of diseases.
Dr Alexandersson has acted as principal investigator in a wide range of
domestic (German) and international (EU) R&D projects and is
frequently serving the research communities by his membership in
scientific and program committees.
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’s
research has been funded by the US NSF, US Department of
Transportation, Ohio Bureau of Workers’ 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,IEEE 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 (www.china-iot.net) and the 2015 SmartWorld Congress
(www.cybermatics.org); 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:
Diego López-de-Ipiña, University of Deusto,
Spain
Daniele Riboni, University of Cagliari,
Italy
Chris Nugent, Ulster University, UK
Bin Guo, Northwest Polytechnical University,
China
Amit Kumar Pandey, Softbank Robotics Europe,
France
Diane Cook, Washington State University, USA
Daniel Roggen, University of Sussex, UK
Sten Hanke, Austrian Institute of Technology
GmbH, Austria
Kevin I-Kai Wang, University of Auckland, New
Zealand
Ivar Solheim, Norsk Regnesentral Stiftelse,
Norway
Patrick Olivier, Newcastle University, UK
IEEE
Smart World Technical Committee Task Force on User-Centred Smart Systems
Introduction
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.
Aims
Stimulate scientific activities and disseminate research and
development results by organizing conferences, forums, workshops and
tutorials about user-centred smart systems and its underlying
technologies in computational intelligence.
Foster and nurture research and development communities on
user-centred smart systems by training and educating research students
and early stage researches in selected research topics, technologies
and systems through competitions, hackathons and/or contests.
Establish and strengthen the collaborations and interactions
among academia, Industry, application providers and end user
organisations in the core fields of user-centred smart system research
and also its main applications.
Promote the development and deployment of computational
intelligence techniques, technologies and its application in real-world
applications.
Scope
Computational intelligence, interactive
intelligence and cognitive intelligence
Methodologies and frameworks for intelligence
engineering
User engineering and modeling techniques
Data analytics, behavior analysis and
lifestyle recognition
Decision support, recommendation techniques
Co-design and development methodologies
Personalisation and adaptation methods and
mechanisms
Ethics, privacy and security
Standards and interoperability
Accessibility and acceptability
Design, engineering and prototyping
Development and real-world application
deployment
Activities within the above topical areas will focus on human-centred
systems in smart healthcare, intelligent transport, smart cities and
smart energy.
Planned
Activities
Organize a special session or tutorial or a workshop at Smart
World Congress in 2017-2018 about the TF topics.
Propose a special issue in an IEEE transaction on user-centred
smart systems or smart healthcare.
Organize a EU-China innovation forum on smart healthcare in 201
Establish a research network between the CIS IEEE SWTC,
researchers, developers, providers and users, including creating social
media account like Twitter to facilitate the communication and
dissemination of news, events, research results of the communities.