SmartSys 2020

Smart Service Systems

Fifth IEEE Workshop on Smart Service Systems (SmartSys 2020)

14 September, 2020 | Bologna, Italy

Co-located with the IEEE International Conference on Smart Computing (SMARTCOMP 2020)

After evaluating the current COVID-19 situation, the organizing committee, in accordance with SMARTCOMP organizers, has decided to postpone IEEE SmartSys 2020 and reschedule it for 14th September 2020. The workshop will still take place in Bologna, Italy. Proceedings will not be cancelled, and publications will continue as planned. We regret any inconvenience this may cause, and your understanding is appreciated.

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 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 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, 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 gird, computer networks, logistics and supply-chains, financial markets etc.
  • Smart infrastructure and testbed to support the integration of autonomous systems and innovative applications


Submission instructions

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 for conferences can be found at IEEE Manuscript Templates for Conference Proceedings. Further information for authors may be found at the IEEE Computer Society Information for Authors for Conference Publishing Services.

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.

Important dates

Manuscript submission: 5 April, 2020   Extended to 15 May, 2020

Paper acceptance notification: 16 June, 2020

Camera-ready paper submission: 30 June Extended to 15 July, 2020

Workshop date: 22 June, 2020 14 September, 2020

Organizing Committees

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

Workshop co-chairs:

  • Maryam Rahnemoonfar, University of Maryland, Baltimore County, USA
  • Antonio Virdis, University of Pisa, Italy

Publicity co-chairs:

  • Carlo Puliafito, University of Pisa, Italy
  • Junfei Xie, San Diego State University

Technical Program Committee:

  • Pietro Cassara', ISTI-CNR
  • Aryya Gangopadhyay, University of Maryland Baltimore County (UMBC)
  • Alberto Gotta, ISTI-CNR
  • Marco Gramaglia, Universidad Carlos III de Madrid
  • Jason Hallstrom, Florida Atlantic University
  • Francesco Longo, Universita di Messina
  • Benjamin Mandler, IBM Haifa Research Lab
  • Simon Mayer, University of St. Gallen
  • Dr. Francesco Restuccia, Northeastern University
  • Francesca Righetti, University of Pisa
  • Olga Saukh, TU Graz / CSH Vienna
  • Corinna Schmitt, Universitat der Bundeswehr Munchen, Research Center CODE
  • Marco Tiloca, RISE Research Institutes of Sweden