Background

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.

Objective

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.

Scope

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

Chair

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

Members

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
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

Activities

• The 3rd IEEE Smart World Congress (SmartWorld 2017)

  August 4-8, 2017, San Francisco, USA

• The 14th IEEE International Conf. on Ubiquitous Intelligence and Computing (UIC 2017)

  August 4-8, 2017, San Francisco, USA

• The 15th IEEE Int'l Conference on Pervasive Intelligence and Computing (PICom 2017)

  November 6-10, 2017, Orlando, USA

• The 10th IEEE International Conference on Internet of Things (iThings 2017)

  21-23 June, 2017, Exeter, England, UK

Related Info

• J. Ma, L. T. Yang, B. O. Apduhan, R. Huang, L. Barolli, M. Takizawa, “Towards a Smart World and Ubiquitous Intelligence: A Walkthrough from Smart Things to Smart Hyperspaces and UbicKids,” International Journal of Pervasive Comp. and Comm., 1(1), pp.53-68, March 2005.
• H. Ning, H. Liu, J. Ma, L.T. Yang, Y. Wan, X. Ye, R. Huang, "From Internet to Smart World," in Access, IEEE, vol.3, no., pp.1994-1999, 2015.
• J. Ma, Y. Zheng, H. Ning, L.T. Yang, R. Huang, H. Liu, Q. Mu, S.S. Yau, "Top Challenges for Smart Worlds: A Report on the Top10Cs Forum," in Access, IEEE , vol.3, no., pp.2475-2480, 2015.
• L. T. Yang, S. S. Yau, J. Ma, Z. Zhou, H. Ning, "IEEE Access Special Section Editorial: Challenges for Smart Worlds," 2016.
• Cesare Alippi, "Intelligence for Embedded Systems," Springer, 2014.
• The 2015 Smart World Summit
• The Open Forum on Top10Cs: Top 10 Challenges for Smart World
• More Information about Smart World