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Kuldeep Kurte <[log in to unmask]>
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Kuldeep Kurte <[log in to unmask]>
Fri, 3 Feb 2023 20:04:03 -0500
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Call for Papers - Eighth IEEE Workshop on Smart Service Systems (SmartSys) 

Co-located with the IEEE International Conference on Smart Computing (SMARTCOMP 2023)     Nashville, Tennessee, USA, June 26th-30th, 2023

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-experience 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 and future of work.

Topics of interest include, but are not limited to: 

* Innovative 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, wearable devices (e.g., smart watches), and humans
* 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 systems of systems.
* Big data analytics approaches for providing better customer services, and innovating new types of sustainable 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, blockchain, 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 of autonomous systems and innovative applications.
* Design and implementation of analytical methods, simulation software and experimental testbeds to evaluate the key performance indicators of smart services.
* Design of approaches for trustworthiness of human-centered smart systems and algorithms.

SUBMISSION INSTRUCTIONS    Authors are invited to submit regular (full) papers for presentation at the workshop, describing original, previously unpublished work, which is not currently under review by another workshop, conference, or journal. Regular papers should present novel perspectives within the general scope of the workshop. 

Papers may be no more than 6 pages in length. Papers in excess of page limits shall not be considered for review or publication. All papers must be typeset in double-column IEEE format using 10pt fonts on US letter paper, with all fonts embedded. The IEEE LaTeX and Microsoft Word templates, as well as related information, can be found at the IEEE Computer Society website (

Papers must be submitted electronically as a single PDF file on US Letter size paper (not A4), with all fonts embedded (the PDF-A standard complies with that). Prior to submission, ensure that any running headers/footers, page numbering, as well as blue underlining for URLs and email addresses has been removed.

Submissions must be made via EDAS (

Please note that each accepted paper will require a full SMARTCOMP registration (no registration is available for workshops only).

* Manuscript submission: 20 March 2023 
* Paper acceptance notification: 20 April 2023
* Camera-ready paper submission: 10 May 2023
* Workshop: 26/30 June 2023


Workshop Co-Chairs: 

* Nirmalya Roy, University of Maryland, Baltimore County, USA
* Carlo Vallati, University of Pisa, Italy   
* Gurdip Singh, George Mason University, USA

Technical Program Co-Chairs: 
* Giovanni Nardini, University of Pisa, Italy   
* Sreenivasan Ramasamy Ramamurthy, Bowie State University, USA

Publicity Co-Chairs: 
* Kuldeep Kurte, Oak Ridge National Laboratory, USA
* Raffaele Zippo, University of Pisa, Italy

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