ISIoT 2024

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 IoT (IIoT, IoV, etc.)

• Performance evaluation for the IoT

• Machine Learning in IoT and Smart Systems 

• Reinforcement Learning in IoT (IIoT, IoV, etc.)

• Federated Learning in IoT (IIoT, IoV, etc.)

• IoT data analytics for Intelligent decisions

• IoV for Intelligent Transportation Systems

• Energy Minimization in IoT

• Healthcare IS using IoT

• Machine Learning in IoT Networks and Protocols 

• AI Ethics in IoT (IIoT, IoV, etc.)

• Real time IoT data analytics for intelligent decision-making

• Intelligent orchestration for IoT task offloading, resource management, and load balancing

• Edge Intelligence support for IoT

• Cloud Computing for the IoT

• Data Fusion in IoT

• 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

• 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