Dr Yang Lu
Lecturer in Cyber SecurityProfile
Dr. Yang Lu is a Lecturer (Assistant Professor) of the Systems Security Group in the School of Computing and Communications at the Lancaster University. He received Ph.D. degree in Electrical Engineering from the Pennsylvania State University (PSU) in 2020, B.E. and M.E. degrees in Electrical Engineering from Shanghai Jiao Tong University in 2010 and 2013, respectively, and M.S. degree in Electrical Engineering from the Georgia Institute of Technology, in 2013. From September 2020 to August 2021, he worked as a postdoctoral scholar in the School of Electrical Engineering and Computer Science at PSU. From January 2019 to May 2019, he worked as a Ph.D. intern at the Pacific Northwest National Laboratory. From March 2013 to June 2014, he worked as a visiting scholar in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He is a recipient of the Dr. Nirmal K. Bose Dissertation Excellence Award at PSU in 2019.
Research Overview
My research goal is to develop theoretical foundations and advanced algorithms for secure, safe and intelligent cyber-physical systems. In working towards this goal, my research involves rigorous analysis of fundamental and emerging issues, the development of novel algorithms with provable behavior, and the demonstration of algorithm performance via applications in power systems and mobile robots. My research integrates technical tools from diverse areas, including control theory, optimization, game theory, cryptography, and machine learning.
Research Interests
- Cyber-physical privacy and security
- Distributed control and optimization of multi-agent networks
- Machine learning
- Applications: mobile robotic networks, power systems
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Prize (including medals and awards)
Security Lancaster, Security Lancaster (Systems Security)
- Lancaster Intelligent, Robotic and Autonomous Systems Centre
- LIRA - Fundamentals
- LIRA - Security and Defence
- LIRA - Smart Cities and Mobility
- Security Lancaster
- Security Lancaster (Distributed Systems)
- Security Lancaster (Secure Machine Learning and Intelligence)
- Security Lancaster (Systems Security)