CFP: Second IEEE Workshop on Smart Service Systems (SmartSys), Hong Kong, May 29, 2017
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Sreenivasan Ramasamy Ramamurthy
Feb 19, 2017, 9:07:28 AM2/19/17
to Machine Learning News
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CALL FOR PAPERS - IEEE SmartSys 2017
Second IEEE Workshop on Smart Service Systems (SmartSys)
Co-located with the IEEE International Conference on Smart Computing (SMARTCOMP 2017)
Hong Kong, May 29th, 2017
http://mpsc.umbc.edu/smartsys17/
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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.
Research contributions are solicited in all areas pertinent to smart human services and systems, including:
• 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
• 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
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Important Dates
Paper submission: March 11th, 2017
Notification: April 8th, 2017
Camera Ready: May 6th, 2017
Workshop Date: May 29th, 2017
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Organizing Committees
Workshop Co-Organizers
Nirmalya Roy, University of Maryland, Baltimore County
Gurdip Singh, Syracuse University
Sajal Das, Missouri University of Science and Technology
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Publicity Co-chairs
Sreenivasan Ramasamy Ramamurthy, University of Maryland, Baltimore County
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Technical Program Committee
Sheikh Iqbal Ahamed, Marquette University, USA
Jiannong Cao, Hong Kong Polytechnic University, Hong Kong
Diane Cook, Washington State University, USA
Salvatore Distefano, University of Messina, Italy
Abhishek Dubey, Vanderbilt University, USA
Aryya Gangopadhyay, University of Maryland, Baltimore County, USA
Jason Halstorm, Florida Atlantic University, USA
David Irwin, University of Massachusetts, Amherst, USA
Paul P. Maglio, University of California, Merced, USA
Enzo Mingozzi, University of Pisa, Italy
Arpan Pal, TCS Innovation Lab, India
Simone Silvestri, Missouri University of Science and Technology, USA
Jinyuan Sun Stella, University of Tennessee Knoxville, USA
Desheng Zhang, Rutgers University, USA
Mi Zhang, Michigan State University, USA
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CALL FOR PAPERS - IEEE SmartSys 2017
Second IEEE Workshop on Smart Service Systems (SmartSys)
Co-located with the IEEE International Conference on Smart Computing (SMARTCOMP 2017)
Hong Kong, May 29th, 2017
http://mpsc.umbc.edu/smartsys17/
--------------------------------------------------------------------------------------
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.
Research contributions are solicited in all areas pertinent to smart human services and systems, including:
• 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
• 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
--------------------------------------------------------------------------------------
Important Dates
Paper submission: March 11th, 2017
Notification: April 8th, 2017
Camera Ready: May 6th, 2017
Workshop Date: May 29th, 2017
--------------------------------------------------------------------------------------
Organizing Committees
Workshop Co-Organizers
Nirmalya Roy, University of Maryland, Baltimore County
Gurdip Singh, Syracuse University
Sajal Das, Missouri University of Science and Technology
--------------------------------------------------------------------------------------
Publicity Co-chairs
Sreenivasan Ramasamy Ramamurthy, University of Maryland, Baltimore County
--------------------------------------------------------------------------------------
Technical Program Committee
Sheikh Iqbal Ahamed, Marquette University, USA
Jiannong Cao, Hong Kong Polytechnic University, Hong Kong
Diane Cook, Washington State University, USA
Salvatore Distefano, University of Messina, Italy
Abhishek Dubey, Vanderbilt University, USA
Aryya Gangopadhyay, University of Maryland, Baltimore County, USA
Jason Halstorm, Florida Atlantic University, USA
David Irwin, University of Massachusetts, Amherst, USA
Paul P. Maglio, University of California, Merced, USA
Enzo Mingozzi, University of Pisa, Italy
Arpan Pal, TCS Innovation Lab, India
Simone Silvestri, Missouri University of Science and Technology, USA
Jinyuan Sun Stella, University of Tennessee Knoxville, USA
Desheng Zhang, Rutgers University, USA
Mi Zhang, Michigan State University, USA
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