IEEE SmartSys 2022

Smart Service Systems

Seventh IEEE Workshop on Smart Service Systems
SmartSys 2022

20 June, 2022 | Aalto University, Espoo, Finland

Co-located with the IEEE International Conference on Smart Computing (IEEE SMARTCOMP 2022)

IEEE SMARTCOMP 2022 will take place as an in person/remote hybrid event.

Technology succeeds when it provides benefits to society either directly or indirectly. Understanding the social and economic impact and human-centered aspects of a smart system or technology in advance and designing the system apriori with potential value-added services help spur the discoveries of new tools, methodologies, and innovative services. Smart service systems span across various socio-technical facets comprising devices, people, organizations, environments, and technologies to sense, actuate, control, and assess the physical, cyber, and societal artifacts of the human service systems. These self-adaptive and fault-tolerant systems require the design to continuously increase the quality and productivity, compliance, and sustainability of the smart services it offers. A human-centered perspective and cognitive learning help create multi-facet value-added services and catalyze the sustained economic growth of these smart service systems. Furthermore, 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 inter-and trans-disciplinary crosscutting research threads from the system and operational engineering, computer science and information systems, social and behavioral science, computational modeling and industrial engineering, etc. This workshop aims to bring together practitioners and researchers from academia and industry to disseminate and share knowledge via the discussion forum and technical presentations on smart service systems' fundamental knowledge and principles. We envision these smart systems enabling the value co-creation in sensing, actuating, data analytics, learning, cognition, and control of human-centric cyber-physical-social systems and future work.

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 providing better customer services, and innovating 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 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
  • AI/ML application in pervasive computing and integrated embedded devices and systems.
  • AI/ML on Edge and Cloud computing services, methods, and applications.
  • Design and development of research prototype of new concept and empirical validation of homogeneous and/or heterogeneous data-driven smart systems.


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.

Important dates

Manuscript submission: 25 March, 2022   Extended to 15 April, 2022 (FIRM)

Paper acceptance notification: 25 April, 2022   Extended to 6 May, 2022

Camera-ready paper submission: 16 May 2022

Workshop date: 20 June 2022

Organizing Committees

Workshop Co-Chairs:

  • Nirmalya Roy, University of Maryland, Baltimore County, USA
  • Carlo Vallati, University of Pisa, Italy
  • Gurdip Singh, Syracuse University, USA

Technical Program Co-Chairs:

  • Francesca Righetti, University of Pisa, Italy
  • Hafiz Khan, Kennesaw State University, GA, USA

Publicity co-chairs:

  • Marco Pettorali, University of Pisa, Italy
  • Hossain Shahriar, Kennesaw State University, GA, USA

Technical Program Committee:

  • Niloofar Bahadori, Northeastern University
  • Armir Bujari, University of Bologna
  • Enrico Casella, University of Kentucky
  • Federico Concone, University of Palermo
  • Fabrizio De Vita, University of Messina
  • Aryya Gangopadhyay, University of Maryland Baltimore County (UMBC)
  • Alberto Gotta, ISTI-CNR
  • Francesco Longo, University di Messina
  • Giulio Masetti, ISTI-CNR
  • Francesca Meneghello, University of Padova
  • Giovanni Merlino, University of Messina
  • Marco Morana, University of Palermo
  • Carlo Puliafito, University of Pisa
  • Mostafizur Rahman, University of Texas Rio Grande Valley
  • Marco Tiloca, RISE Research Institutes of Sweden
  • Nicola Tonellotto, University of Pisa
  • Maria Valero de Clemente, Kennesaw State University
  • Antonio Virdis, University of Pisa
  • Jianhui Yue, Michigan Technological University
  • Xinyue Zhang, Kennesaw State University