Cheng FENG

Cheng FENG is a Researcher at the Institute for Security Science and Technology, Imperial College London (June 2017 – July 2017). He holds a Master's and PhD in Computer Science from the School of Informatics, University of Edinburgh. His research focuses on applying quantitative modeling and machine learning to enhance the security and dependability of cyber-physical systems. At iTrust, he worked on data-driven anomaly detection in WADI and SWAT testbeds.

Education: PhD and Master of Computer Science from University of Edinburgh's School of Informatics.

Research Interests: Developing intelligent systems through machine learning techniques, with a focus on anomaly detection and security in cyber-physical environments. His work emphasizes practical applications in industrial testbeds like WADI and SWAT.