[robotics-worldwide] [meetings] COVID-19 UPDATES AND DEADLINE EXTENSION

Junfei Xie jxie4 at sdsu.edu
Sat Mar 21 18:07:27 PDT 2020


We are aware of the rapidly evolving COVID-19 situation around the world,
and jointly with the other conference organizers we are considering all the
possible options including remote presentation, changing the conference
dates or relocating the conference to another location.

For this reason, we decided to postpone the submission deadline to April 5,
while we kindly ask authors to register their Abstract by March 22.

Please see the following announcement that was recently made at the main
conference website as well:

"The committee is aware of the COVID-19 situation and considering all the
alternative options. We are considering to permit remote
participation/presentation to the conference, postponing the conference to
the autumn or moving the conference to another location, in case unsafe
travel conditions to Italy still persist."



CALL FOR PAPERS - IEEE SmartSys 2020

5th IEEE Workshop on Smart Service Systems (SmartSys)

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

Bologna, Italy, June 22, 2020

https://urldefense.com/v3/__http://www.iet.unipi.it/smartsys2020/__;!!LIr3w8kk_Xxm!_Nz-swJTiTgq-JOIBKSqxwSPiwzhwj6qIwheteQLpkBhlp6btxKEN-8pFdQnv-mMCFr9Baqc$ 



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
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, it needs 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 and future of work.

Research contributions are solicited in all areas pertinent to smart human
services and systems, including:

• 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 gird, 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



Important Dates

Abstract registration: March 22, 2020

Paper submission (extended): April 5, 2020

Notification:           April 20, 2020

Camera Ready:       April 30, 2020

Workshop Date:     June 22, 2020



Organizing Committees

*Workshop Co-Organizers*

Nirmalya Roy, University of Maryland, Baltimore County

Carlo Vallati, University of Pisa

Gurdip Singh, Syracuse University

Sajal Das, Missouri University of Science and Technology



*Technical Program Co-Chairs:*

Antonio Virdis, University of Pisa, Italy

Maryam Rahnemoonfar, University of Maryland, Baltimore County



*Publicity Co-chairs*

Carlo Puliafito, University of Pisa, Italy

Junfei Xie, San Diego State University



*Technical Program Committee*

Pietro Cassarà, 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, Universität der Bundeswehr München, Research Center CODE

Marco Tiloca, RISE Research Institutes of Sweden



Junfei Xie, San Diego State University

Publicity Co-Chair


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