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Shiwei Fang <[log in to unmask]>
Sun, 23 May 2021 17:08:04 -0400
text/plain (121 lines)
[Apologies if you receive multiple copies of this CfP.]

***********************************************************************************
The 6th IEEE Workshop on Smart Service Systems (SmartSys 2021), co-located
with the IEEE International Conference on Smart Computing (SMARTCOMP 2021)

Irvine (CA), USA, August 23, 2021

https://www.scm.keele.ac.uk/smartsys2021/
***********************************************************************************

Technology succeeds when it provides benefits to the society either
directly or indirectly. Understanding the societal and economic impact and
human-centered aspects of a smart system or technology in advance and
designing the system a-priori with potential value-added services help spur
the discoveries of new tools, methodologies and innovative services. Smart
service systems span across a variety of socio-technical facets comprising
of devices, people, organizations, environments and technologies to sense,
actuate, control and assess the physical, cyber and societal artifacts of
the human service systems. Besides the systems being self-adaptive and
fault-tolerant, need to be designed in such a way that it can continuously
increase the quality and productivity, the compliance and sustainability of
the smart services it offers. While human-centered perspective and
cognitive learning help create multi-facet, value added services and
catalyze the sustained economic growth of smart service systems,
understanding the multi-modal sensing, control, heterogeneity and
interdependency between different physical, virtual and logical components
of such a complex system will enable the realization of new transformative
smarter service systems. If successful, this can help improve the
quality-of-service of the customers, quality-of-life of the citizens and
quality-of returns of the stakeholders and investors.

Nurturing the development of smart service systems seeks for inter- and
trans-disciplinary crosscutting research threads from system and
operational engineering, computer science and information systems, social
and behavioral science, computational modeling and industrial engineering
etc. The goal of this workshop is to bring together practitioners and
researchers from both academia and industry in order to have a forum for
discussion and technical presentations on the fundamental knowledge and
principles of smart service systems that enable the value co-creation in
sensing, actuating, data analytics, learning, cognition, and control of
human centric cyber-physical-social systems.


Topics of interest include, but are not limited to:
- Innovative technologies, tools, methodologies and solutions for smart
service systems; example includes personalized healthcare, smart energy,
smart cities, smart manufacturing, intelligent transportation, education,
precision medicine and agriculture, national security etc.
-  Information extraction and interpretation from sensors, actuators, smart
phones, smart watch, and human
- Context and situational-awareness of smart service systems
- Design of people-centric services and technologies for providing better
services such as food, transportation and places to live
- Novel architectures and interoperable solutions for internet of things
- Models and methodologies for designing complex smart systems
- Big data analytics approaches for innovative smart services
- Modeling, analysis, co-production, and co-evolution of human activity,
behavior and interaction for the effective adaptation and percolation of
longitudinal smart service systems
- Role of machine learning, artificial intelligence, robotics, pervasive
computing, control theory, information and communications technologies
- Role of formal methods in computer networks, cyber-physical systems,
Internet-of-Things and machine learning
- Design and developments of intelligent systems, intelligent enterprises
and cyber-physical-social-systems
- Design of inter-dependent complex global systems such as healthcare,
smart grid, computer networks, logistics and supply-chains, financial
markets etc.
- Smart infrastructure and testbed to support the integration and test of
autonomous systems and innovative applications

Submissions must be made via EDAS (https://edas.info/N28335).


IMPORTANT DATES
- Manuscript submission:  *1 June, 2021*
- Paper acceptance notification:  *21 June, 2021*
- Camera-ready paper submission:  *30 June, 2021*
- Workshop date: *23 August, 2021*

ORGANIZING COMMITTEE

Workshop co-Organizers:
- Nirmalya Roy, University of Maryland, Baltimore County, USA
- Carlo Vallati, University of Pisa, Italy
- Gurdip Singh, Syracuse University, USA
- Sajal Das, Missouri University of Science and Technology, USA

Technical Program co-Chairs:
- Marco Ortolani, Keele University, UK
- Shahriar Nirjon, University of North Carolina at Chapel Hill, USA

Publicity co-chairs:
- Shiwei Fang, University of North Carolina at Chapel Hill, USA
- Pierluca Ferraro, University of Palermo, Italy

Technical Program Committee
- Jun Cao, Keele University
- Aryya Gangopadhyay, University of Maryland Baltimore County (UMBC)
- Alberto Gotta, ISTI-CNR
- Jason Hallstrom, Florida Atlantic University
- Francesco Longo, Universita di Messina
- Simon Mayer, University of St. Gallen
- Marco Morana, University of Palermo
- Carlo Puliafito, University of Pisa
- Francesca Righetti, University of Pisa
- Corinna Schmitt, Universitat der Bundeswehr Munchen, Research Center CODE
- Marco Tiloca, RISE Research Institutes of Sweden
- Antonio Virdis, University of Pisa

Kind regards,

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