Dependable Cyber-Physical Systems Laboratory
In DeCPS, we will focus on increasing the resilience of cyber-physical systems (CPS) and Internet of Things (IoT) through advanced network and system technologies.
Our research interests span multiple disciplines in computer science/engineering and electrical engineering. These disciplines include cyber-security, Intrusion Detection Systems (IDS), Cyber-Physical Systems (CPS), Internet of Things (IoT), Software-Defined Networking (SDN), and applicable deep learning techniques. We are also interested in other advanced techniques that can help our projects, including deep learning, Blockchain-based fault-tolerance, etc.
To Prospective Students
- I am looking for highly self-motivated Ph.D. students who are strongly committed to research in the direction related to cybersecurity and artificial intelligence (AI). If you are interested, please send your CV, transcripts, TOEFL and GRE scores, and everything else that you believe will help your application to me.
- Strong programming experiences in Linux are required.
- Knowledge in software-defined networking (SDN) and edge computing is preferred, but not required.
- Experiences in deep learning and data analytics are preferred, but not required.
- Multiple PhD Positions Available at the University of Rhode Island (Spring/Fall 2024) - I have openings for multiple Ph.D. positions. Students with interests and experiences in areas related to system/network security and artificial intelligence (AI) are encouraged to apply. The positions will remain open until filled by qualified candidates. Qualification: B.S. or M.S. degree in computer engineering, electrical engineering, computer science, or closely related areas.Strong programming experience in […]
- [2023 May] Our paper “HELICSAuto: Automating the Development of Cyber-Physical Co-Simulation Framework for Smart Grids” is accepted by the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS ‘23) -
- [2023 April] Our paper “Learning from Future: Prediction-based Data Augmentation to Enhance Power Grids Fault Detection” is accepted by the 11th International Conference on Smart Energy Grid Engineering. -
- [2023 March] Our paper “A Real Time Physics-Based Industrial Control System Honeynet Architecture for the Smart Grid” is accepted by the 8th International Conference on Information and Network Technologies. -
- [2023 January ] Our proposal “Enabling Programmable In-Network Security for an Attack-Resilience Smart Grid” receives awards from NSF. Thank NSF for the support! -