CFP: IEEE SmartSys 2026 @ SMARTCOMP - June 2026, Italy

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Eleventh IEEE Workshop on Smart Service Systems (SmartSys)

•                    Co-located with the IEEE International Conference on
Smart Computing (SMARTCOMP 2026)

•                    22nd June 2026

•                    Messina, Italy



Name of the Organizers:



 Workshop Co-Chairs

•                    Nirmalya Roy, University of Maryland, Baltimore County

•                    Carlo Vallati, University of Pisa

•           Gurdip Singh, George Mason University



TPC Co-Chairs

•                    Mohamed Nafea, Missouri University of Science &
Technology, US

•                    Marco Pettorali, University of Pisa, Italy



Publicity chair

•                    Jacopo Sabatino, University of Florence, Italy

•                    Avijoy Chakma, Bowie State University, US



Bio of the Organizers:

•                    Nirmalya Roy: Dr. Nirmalya Roy is currently an
Associate Professor in the Information Systems department at the University
of Maryland, Baltimore County (UMBC). He has been awarded NSF, office of
Naval Research, Constellation E2: Energy to Educate and UMB-UMBC Research
and Innovation Partnership grants. His current research interests include
pervasive healthcare, sensor-driven smarth ealth technologies, design and
modeling of smart environments, and green building energy analytics. He is
a recipient of Mark Weiser Best paper award in IEEE PerCom 2006 conference,
Best paper award in QShine 2009 conference, Best paper award nomination in
IEEE PerCom 2011 conference and  Institute for Infocomm 2011 Best Research
paper award. He is currently leading the UMB-UMBC Research and Innovation
project on Smart Health, NSF Cyber-Physical System Green Building Energy
Analytics project and Constellation Energy Education project at UMBC. Prior
to joining UMBC, he was a Clinical Assistant Professor in the School of
Electrical Engineering and Computer Science department at Washington State
University. He worked as a Research Staff Member in the Institute for
Infocomm Research (I2R) in Singapore from 2010 to 2011 and as a
postdoctoral fellow in the Electrical and Computer Engineering department
at the University of Texas at Austin from 2008 to 2009. He received his MS
and PhD degrees in Computer Science and Engineering from the University of
Texas at Arlington in 2004 and 2008, respectively. He received his B.E.
degree in Computer Science and Engineering in 2001 from Jadavpur
University, India. More information about him can be found at
http://mpsc.umbc.edu/nroy.



•                    Carlo Vallati: Carlo Vallati is Associate Professor at
the Department of Information Engineering of the University of Pisa. He
received a Master's Degree (magna cum laude) and a PhD in Computer Systems
Engineering in 2008 and 2012, respectively, from the University of Pisa. In
2010, he visited the Computer Science department of the University of
California at Davis. He is co-author of +60 peer-reviewed papers in
international journals and conference proceedings. He has been involved in
the project BETaaS, Building the Environment for the Things as a Service,
funded by the European Union under the 7th Framework Program and in several
research, projects supported by private industries. He has served as a
program committee member for more than 30 international conferences and
workshops and as Workshop Chair for the IEEE IoT-SoS and IEEE SmartSys
workshops. He is currently serving as TPC Co-Chair for IEEE SMARTCOMP 2020
and on the editorial board of two international journals, the “Journal of
Reliable Intelligent Environments”, Springer and “Applied Sciences”, MDPI.
He is the coordinator of the Cloud Computing, Big Data and Cybersecurity
Crosslab founded in the framework of the Departments of Excellence
(“Dipartimenti di Eccellenza”) funded by the Italian Ministry of Education,
University and Research (“Ministero dell’Istruzione dell’Università e della
Ricerca”).



•                    Gurdip Singh: Dr. Gurdip Singh is the Professor and
Divisional Dean in the School of Computing at George Mason University. He
was the Director, Division of Computer and Network Systems (CNS) in the
Computer and Information Science Engineering (CISE). He was the Associate
Dean in the College of Engineering and Computer Science at Syracuse
University. He was a Program Director at National Science Foundation in the
Computer and Network Systems Division of the CISE Directorate. He has
worked with the Computer Systems Research (CSR) program and the
Cyber-Physical Systems program. He has also worked in the Engineering and
Social and Behavioral Sciences Directorate on the Partnership for
Innovations (PFI) program, Critical Resilient Interdependent Systems and
Processes (CRIPSP) and the Research Coordination Networks (RCN) program. He
was the Head of the Computing and Information Sciences Department at Kansas
State University from July, 2009 to July, 2014. At Kansas-State, he led the
Pervasive Sensor Network Laboratory (PerSNL) which has focused on
developing tools and methodologies for designing applications and
middleware for real-time embedded systems and sensor networks. His research
has been funded by NSF, DARPA, AFOSR, and several industrial partners. He
was the Director of a multidisciplinary Center for Sensors and Sensor
Systems which was funded under the K-State Targeted Excellence Program. He
was the recipient of the Frankenhoff Outstanding Research Award in 2007,
NSF CAREER Award in 1995 and NSF Research Initiation Award in 1992. He
received the B.Tech degree in Computer Science from Indian Institute of
Technology, New Delhi in 1986 and the M.S. and Ph.D. degrees in Computer
Science from State University of New York at Stony Brook in 1989 and 1991
respectively.



•                    Mohamed Nafea: Dr. Nafea is an assistant professor in
computer engineering at Missouri S&T. Before joining S&T, he was an
assistant professor at University of Detroit and before that he spent a
year as a postdoc at Georgia Tech. He received his Ph.D.in electrical
engineering and master’s in mathematics from Penn State, University Park in
2018 and 2017, respectively. His research lies at the intersection of
statistical learning, information and data sciences, and causal reasoning,
and aims to solve problems in responsible artificial intelligence including
issues of fairness, explainability, privacy, and safety of learning
systems. He is a recipient of the 2023 NSF CRII award in support of his
research in fair ML.



•                    Marco Pettorali: Marco Pettorali is an Assistant
Professor at the Department of Information Engineering, University of Pisa.
He received his Ph.D. in Information Engineering in 2025 from the
University of Pisa. His research interests include the Cloud-to-Things
Continuum (C2TC), Industrial Internet of Things (IIoT), and wireless sensor
networks (WSNs) for industrial applications.



Scope (Call for Papers)

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 spanning systems and
operations engineering spanning systems and operations engineering 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
provide have a forum for discussion and technical presentations on the
foundational theories, models, and design 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 for
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

•                    Edge AI and federated learning approaches enabling
real-time, privacy-preserving intelligence in distributed smart service
systems.

•                    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

•                    Digital twins for modeling, monitoring, and optimizing
human-centric cyber-physical-social smart services.

•                    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

•                    Design and implementation of persuasive smart systems
and smart systems for behavior change support

•                    Fairness and Bias Mitigation in AI algorithms for
pervasive systems

•                    Fair, explainable, interpretable, trustworthy, and
private, AI systems with social/societal impact in areas of interest.

•                    Leveraging Human-in-the-Loop Feedback for Enhanced
Context-Awareness in pervasive 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. Submissions must be made via EDAS.

Each accepted paper will require a full SMARTCOM registration (no
registration is available for workshops only).

Submission link: https://edas.info/newPaper.php?c=34470



Important dates

Manuscript submission: March 9, 2026

Paper acceptance notification: April 29, 2026

Camera-ready paper submission: TBA

Workshop date: June 22, 2026

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