Research on Cyber-Physical Systems (CPS) and Internet of Things (IoT) recognizes that IoT technologies serve to integrate CPS and as an interface between CPS and their users. Representative application domains include smart cities, transportation infrastructure, energy systems, intelligent buildings and environments, and so on.
Crosscutting IoT technologies play important roles in enabling dependable IoT and in system engineering of dependable CPS. This research focuses on crosscutting, fundamental scientific and engineering principles, including machine learning, artificial intelligence, and blockchain technologies, which underpin the integration of cyber and physical system components in infrastructure and energy systems. Current areas of research include:
- Data-driven modeling and formal methods in contrast to machine learning for CPS and IoT design and analysis
- Intertwining of social and technical aspects of CPS and IoT leading to new applications
- Blockchain technologies for development of dependable IoT and CPS
- Human-in-the-loop and cybersecurity for safe and secure CPS and IoT