Ubiquitous sensors and actuators, devices, networks and information are paving the way towards a smart world in which computational intelligence is distributed throughout the physical environment to provide reliable and relevant services to goods and people. The smart world, starting with smart things such as smart objects, smart cities, smart manufacture and smart systems, will eventually encompass all aspects of the physical world and the social world. This smart world is set to be the next important stage in human history. We have to be aware of the essential problems and crucial issues affecting this development in truly building the smart world that benefits humanity, and simultaneously safeguards the natural environment for sustainable development and evolution.


The Technical Committee on Smart World (SWTC) is intended to establish a collaborative and active platform to gather scientists, researchers and engineers who share common interests in smart related computing technologies and applications. The objectives are threefold: (1) to promote research, development, education and application on the wide scope of smart world; (2) to bridge the gap between researchers primarily focused on computational intelligence and researchers in smart things as well as between academic studies and industrial innovations; (3) to organize a series of smart world related activities including the IEEE Smart World Congress.


The Smart World TC primarily aims at porting computational intelligence techniques in resource-constrained systems embedded in physical objects interacting with the environment through sensors and actuators. The scope of the Smart World TC mainly covers four aspects:

  • Smart Objects and Interactions

    Smart chips, sensors, devices, wearables, appliances, plants, materials, etc.

    Smart software, OS, programming, tools, interfaces, control, reliability, etc.

  • Smart Systems and Services

    Smart sensor networks, personal/body networks, programming models, etc.

    Smart service, cloud, big data, IoT, cyber-physical systems, green systems, etc.

  • Smart Environments and Applications

    Smart home, office, building, campus, factory, farm, city, urban, country, etc.

    Smart healthcare, transportation, grid, energy, manufacture, agriculture, etc.

  • Smart Things related to Personalization and Social Aspects

    Mobile social computing, crowd sensing, human modeling and mining, etc.

    Smart machines, cars, robots, cyborgs, and their social intelligence

    Personalized services, security, privacy, safety, affect and legal issues


Jianhua Ma, Hosei University, Japan

Vice Chairs

Cesare Alippi, Politecnico di Milano, Italy; Università della Svizzera Italiana, Switzerland
Laurence T. Yang, St. Francis Xavier University, Canada


Bernady O. Apduhan, Kyushu Sangyo University, Japan
Julien Bourgeois, UFC/FEMTO-ST Institute, France
Jiannong Cao, Hong Kong Polytechnic University, Hong Kong
Guanling Chen, University of Massachusetts Lowell, USA
Jinjun Chen, University of Technology, Australia
Liming Chen, De Montfort University, U.K.
Flávia C. Delicato, Federal University of Rio de Janeiro, Brazil
Beniamino Di Martino, Second University of Naples, Italy
Didier EL Baz, LAAS-CNRS, France
Paul G. Flikkema, Northern Arizona University, USA
Jerry Gao, San Jose State University, USA
Haibo He, University of Rhode Island, USA
Sumi Helal, University of Florida, USA
Runhe Huang, Hosei University, Japan
Man Lin, St. Francis Xavier University, Canada
Alison B. Lownders, NVIDIA Ltd, UK
Nathalie Mitton, INRIA, France
Huangsheng Ning, Beijing University of Science and Technology, China
Ong Yew Soon, Nanyang Technological University, Singapore
Seiichi Ozawa, Kobe University, Japan
Vincenzo Piuri, University degli Studi di Milano, Italy
Seungmin Rho, Sungkyul University, Republic of Korea
Manuel Roveri, Politecnico di Milano, Italy
Frode Eika Sandnes, Oslo University College, Norway
Yuanchun Shi, Tsinghua University, China
Timothy K. Shih, National Central University, Taiwan
Marley Vellasco, Pontifical Catholic University of Rio de Janeiro, Brazil
Jhing-Fa Wang, National Cheng Kung University, Taiwan
Kevin Wang, The University of Auckland, New Zealand
Stephen S. Yau, Arizona State University, USA
Mazin Yousif, T-Systems, International, USA
Zhiwen Yu, Northwestern Polytechnical University, China
Daqing Zhang, Telecom SudParis, France
Albert Y. Zomaya, The University of Sydney, Australia


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