Internet of things (IoT) is defined as the objects which integrate a variety of devices into networks which transfers information through the internet to provide various solutions. The origination of IoT lead to the high-speed heterogeneous internetworks, and advanced sensors have resulted in a massive growth of data gathering by these devices and sensors put on the Internet. Computational Intelligence (CI) will felicitate to wield the myriad of connected things. IoT based sensors gather high volumes of data which has been used in almost all the applications like health system, business process, predicting share market, financial services, weather prediction, and environmental monitoring. CI plays a critical role to manage huge data flows and storage in the IoT network. As IoT gains its full potential CI will be at the forefront to facilitate the potential of IoT.

"Selected contributions of this symposium will be invited to submit expanded versions of their studies to IEEE IoTJ (IF=9.936) for review and potential publication."

Topics
This workshop aims to bring researchers from industry and academia working to the application of CI in the following areas (but are not limited to):

CI-based Fault Diagnosis for IoT
CI-based Scalability Solutions for IoT
New Architecture And Protocols Design Of AI Integrated With IoT
CI In Security, Privacy, Access Control, and Trust Frameworks Of IoT
Resource Management Techniques Using AI for IoT
CI Control Schemes in IoT
CI-based Smart Data Storage in IoT
CI-based Software-Defined Networking in IoT
CI Applications in Industrial IoT
CI Application in Smart Energy Efficiency
CI Application in Smart Grids
CI Application in Building Energy
CI Applications in Smart City
CI Applications in Smart Grid
CI Applications in Renewable Energy
CI Applications in Green Networks
CI-based Intelligent Transport System
CI Applications for Environment Systems
CI Applications for Water Management Systems
CI Application in Smart Farming and Supply Chain.
CI Applications in Health Monitoring
CI Application in Connected Health

Symposium Chairs:
Amir H. Gandomi, gandomi@uts.edu.au, University of Technology Sydney, Australia
Mahmoud Daneshmand, mdaneshm@stevens.edu, Stevens Institute of Technology, USA
Huansheng Ning, ninghuansheng@ustb.edu.cn, University of Science and Technology Beijing, China
Mohammad S Khan, khanms@etsu.edu, East Tennessee State University, USA
Chonggang Wang, cgwang@ieee.org, InterDigital, USA
Honggang Wang, hwang1@umassd.edu, University of Massachusetts Dartmouth, USA