Jun Yan, PhD

Education

• Ph.D., Electrical Engineering, University of Rhode Island, USA (with Excellence in Doctoral Research)
• M.Sc., Electrical Engineering, University of Rhode Island, USA 
• B.Eng., Information and Communication Engineering, Zhejiang University, China 

Research interests

• Cyber-physical systems and security
• Applied and adversarial computational intelligence
• Smart grids, smart transportations, smart cities
• Attack-resilient systems and control

As of March 2023, I have authored or co-authored over 100 peer-reviewed papers in cyber-physical security and computational intelligence, with applications for smart grids, smart cities, and other smart critical infrastructures. According to Google Scholar Metrics, three of our papers are among the top-50 cited papers published on the corresponding IEEE Transactions in the last 5 years.

For a complete list of publications, see my homepage or my Google Scholar page.

• Most cited paper (as of Feb. 2022) of IET Cyber-Physical Systems: Theory & Applications.
  
• Top-50 cited papers published within the last 5 years on IEEE Transactions on Industrial Electronics, IEEE Transactions on Information Forensics and Security, and IEEE/ASME Transactions on Mechatronics.
• Best Paper Award, IEEE International Conference on Communications (ICC).
• Best Student Paper Award, IEEE World Congress on Computational Intelligence (WCCI).
• Best Readings on "Communications & Information Systems Security - Cyber Attacks" of IEEE Communication Society (2013). 
• Front-cover paper on IEEE Transactions on Information Forensics and Security (TIFS), vol. 8, no. 4, April 2013.
• Excellence in Doctoral Research Award, University of Rhode Island, Ph.D. Class of 2018 (sole recipient). 
• Best Reviewers, IEEE Transactions on Smart Grid (2016). 

• INSE 6640 - Smart Grids and Control System Security
• INSE 6630 - Recent Developments in Information Systems Security
• COEN 231 - Introduction to Discrete Mathematics

Multiple Ph.D. and M.Sc. positions are now opened for Fall and Winter admission.
Highly-motivated students, who are interested in cutting-edge research in applied machine learning, smart grids and smart cities, cyber-physical systems and security, and resilient infrastructures, are encouraged to check my homepage and contact me by email regarding the openings and potential scholarship opportunities.