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.
• 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