This thrust adopts an interdisciplinary approach to equip students with comprehensive knowledge to pursue technological innovation, and to explore new research frontiers in forming the Internet of Things (IoT)-enabled digital societies. It encompasses both theoretical and empirical methodologies, making advancements in fields such as networking, machine learning, systems, security and privacy, and human-machine interactions within the broad sphere of IoT.
The PhD Program aims to train students in conducting original research in IoT, and to cultivate independent, interdisciplinary, and innovative thinking that is essential for a successful career in IoT-related industry and/or academia. A PhD graduate is expected to demonstrate mastery of knowledge in the chosen discipline and the ability to synthesize and create new knowledge, making an original and substantial scientific contribution to the discipline.
CROSS-DISCIPLINARY FOCUS AREAS
- Optimization, artificial intelligence and machine learning in IoT
- Networking, communications, and signal processing
- Security and privacy-enhancing technologies
- Sensing and embedded systems
- Distributed computing and caching
- Ubiquitous computing