Fengjun Li is an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. Professor Li is the director of the KU Privacy and Security Lab of the Information Technology and Telecommunication Center at the University of Kansas. Her research interests lie in a broad range of topics in computer and network security, including secure smart grid communication, anonymous routing, access control, misinformation detection, social network privacy, etc. Her recent research is focused on trustable and privacy-preserving federated learning, aversarial machine learning, and the security and privacy of IoT systems. She has published over 50 refereed papers in top computer security and networking conferences and journals and her research has been supported by NSF, NSA, Ripple, etc. She is the recipient of the 2014 Kansas NSF EPSCoR First Award, the 2016 Miller Scholar Award, the 2019 Bellows Scholar Award, and the 2020 Miller Award for Service of the School of Engineering at the University of Kansas.