ISIoT 2022
4th International Workshop on
Intelligent Systems for the Internet of Things
Marina Del Rey, LA, California
May 30 to June 1, 2022
colocated with DCOSS 2022
COVID-19 Pandemic Planning. We are optimistic the event will be held physically in LA but we are monitoring the COVID-19 pandemic evolution and a hybrid attendance format may be considered, if needed; in case of a hybrid format, every paper accepted for DCOSS 2022 (presented in person or virtually) will be published in the IEEE proceedings.
Important Dates
Paper Submission: 18 March 2022, 23:55 GMT
Acceptance Notification: April 10, 2022
Camera Ready: April 20, 2022
Workshop Chairs
Dr. Vasos Vassiliou, University of Cyprus and CYENS Research Center
Dr. Kyriakos G. Vamvoudakis, Georgia Institute of Technology
Dr. Zinon Zinonos, Smart City Manager, Municipality of Pafos
Organized and Supported By
Scope
The Internet of Things is a paradigm that assumes a pervasive presence in the environment of many smart things, including sensors, actuators, embedded systems and other similar devices. The development of IoT, however, has reached a crossroads, which means that without intelligence, an IoT system will act as an ordinary information transfer system. Emerging IoT applications in various fields, including smart city, smart home, smart grid, e-health, intelligent transportation systems, etc., require trustworthy networking solutions that are resilient against high mobility, high density, disasters, infrastructure failures, cyberattacks, and other disruptions. This interdisciplinary landscape of IoT applications demands researchers from different areas such as machine learning, computational intelligence, optimization, distributed computing, embedded systems, and big data to synergize their efforts in better understanding the untapped opportunities to produce highly efficient, deployable, intelligent IoT systems.
Topics of Interest
The ISIoT workshop aims at bringing together researchers and practitioners designing and deploying systems that apply intelligent technologies in IoT. Topics of interest include, but are not limited to:
Computational Intelligence for the IoT
Performance evaluation for the IoT
Machine Learning in IoT and Smart Systems
Fuzzy Logic in IoT and Smart Systems
Dependability and Fault Tolerance in Smart Systems
Big Data and Data Mining for the IoT
Intelligent Network Technologies for the IoT
Swarm and Multi-Agent Models for IoT
Embedded Multiagent Systems
Automatic Control for IoT
Collective and Collaborative Robotics
Robotics for the IoT
Educational Robotics and IoT
Computer Vision and IoT
Applications of the IoT
Smart Systems in Different industry verticals
IoT platforms
Blockchain for the IoT
IoT Intrusion Detection
Trust and Privacy in IoT
Cloud Computing for the IoT
Data Fusion from the IoT