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Li Feng

Li Feng

Associate Professor

Department

  • Mathematics

Contact Information

Biography

Li Feng earned her Ph.D. in computer science in 2015 from Missouri University of Science and Technology. She joined the faculty of the Department of Mathematics, Computer Science and Physics at Capital University in 2016.

Previously, she worked as a Post-doctoral Fellow in Missouri University of Science and Technology and led a group of undergraduate students in research projects. Her research interests lie in security analysis in Cyber Physical System (CPSs), especially the information flow quantification in CPSs, security protocol development, statistical model for information leakage analysis in cross-disciplinary architecture.

She has passion for computer science and would like to inspire young people to interest in this area. She teaches a variety of computer science courses that will help students develop the skills of critical thinking, proficiency in programming, communication and problem solving.
Classes
Operating Systems
Software Engineering
Introduction to Unix
Artificial Intelligence
Foundations of Computer Architecture
Programming in Java
Introduction to Database systems
Introduction to Computer Science
Computer Networks
Degrees Earned
Ph.D. in Computer Science, Missouri University of Science and Technology
Master of Engineering in Computer Technology, Beijing University of Chemical Technology
Bachelor of Engineering in Information Engineering, Beijing University of Chemical Technology
Publications
Lei Wang, Li Feng and Maciej Zawodniok, "Ubiquitous Tracking Using Motion and Location Sensor With Application to Smartphone," International Conference on Smart Computing (SMARTCOMP), 2017 IEEE 3rd International, May 29-31, 2017 (Best Paper Award)

Li Feng and Bruce McMillin, “Information Flow Quantification Framework for Cyber Physical System with Constrained Resources,” Computer Software and Applications Conference (COMPSAC), 2015 IEEE 39th International, 1-5 July 2015, pp. 50-59

Li Feng, Bruce McMillin, Anthony Perez Santiago, and Ziang Zhang, “Incremental Cost Consensus (ICC) and Leaderless ICC Implementations in FREEDM,” Sixth Conference on Innovative Smart Grid Technologies (ISGT2015), February 17-20, 2015, pp. 1-5

Li Feng and Bruce McMillin, “A Survey on Zero-Knowledge Proofs,” Book Chapter, Advances in Computers, 2014, pp. 25-69

Li Feng and Bruce McMillin, “Quantification of Information Flow in a Smart Grid,” Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International, 21-25 July 2014, pp.140-145