speaker-info

Dr. Fengjun Li

Assistant Professor, EE & CS - University of Kansas

Bio

Fengjun Li is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. She earned her Ph.D. degree in Information Sciences and Technology from the Pennsylvania State University in 2010. Her research interests focus on security and privacy issues in distributed information systems, database systems, and communication networks. Her recent projects include smart grid security, social media and social networks analysis, and Internet anonymity. Dr. Li has published over 30 refereed papers in top computer security and networking journals and conferences. Her work on traffic analysis resilience in Tor won the best paper award in the 2015 EAI SecureComm conference. Dr. Li has also served on the editorial boards of International Journal on Security and JSM Computer Science & Engineering, and the Technical Program Committee of several conferences and workshops including IEEE SmartGridComm, ACM CIKM, etc.

Presentation

Academic Panel – Preparation for Cybersecurity Jobs

005 Express Scripts Hall

A panel discussion on the baseline skills (both technical and non-technical) for people aspiring to enter into cybersecurity fields. The panel will focus on skill-sets for both students as well as non-security professionals hoping to transition into cybersecurity. Panel Moderator: Kerrine Nelson. Panelists: Dr. Vijay Anand, Tony Bryan, Dr. Vijay Kumar, Dr. Calvin Nobles, Dr. Fengjun Li, Dr. Bo Luo […]

Track 2
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Secure and Privacy-Preserving Data Collection and Data Publishing Schemes for the Internet-of-Things

005 Express Scripts Hall

Today’s computing technologies and ubiquitous connectivity have led to a pervasive deployment of intelligence into our daily life in areas as diverse as healthcare (e.g., wearable fitness tracking, remote patient monitoring), home automation (e.g., smart thermostat, security monitoring), smart grid (e.g., load balancing, smart pricing), smart cities (e.g., smart traffic control, distributed pollution monitoring), etc. […]

Track 2
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