Dongfeng Fang

Affiliation

Department of Computer Science and Software Engineering, College of Engineering, California Polytechnic State University, San Luis Obispo, CA, USA

Topic

Unmanned Aerial Vehicles,Time Slot,Base Station,Multiple Unmanned Aerial Vehicles,Path Loss,Quality Of Experience,Conventional Scheme,Deep Reinforcement Learning,Energy Consumption,Mobile Edge Computing,Mobile Users,Optimization Problem,Wireless Networks,Artificial Intelligence Models,Autonomous Vehicles,Bandwidth Allocation,Baseline Methods,Bid Price,Coalition Formation,Communication Links,Content Delivery,Data Security,Differential Privacy,Edge Computing,Edge Server,Federated Learning,Game Theory,Heuristic Algorithm,Internet Of Things,Internet Of Things Devices,Joint Optimization,Joint Optimization Problem,Key Distribution,Low Earth Orbit,Markov Decision Process,Maximum Utilization,Medical Devices,Mobile Edge Computing Server,Model Parameters,Optimal Allocation,Optimal Bandwidth,Optimal Policy,Optimal Price,Phase Shift,Privacy Preservation,Rational Choice Theory,Secret Key,Service Quality,Storage Resources,Task Offloading,

Biography

Dongfeng Fang received her B.S. degree in control theory and control engineering from Harbin Institute of Technology, China, in 2009, her M.S. degree in control theory and control engineering from Shanghai University, China, in 2013, and her Ph.D. degree in electrical and computer engineering from the University of Nebraska-Lincoln in 2019. She is an assistant professor in the Department of Computer Science and Software Engineering, California Polytechnic State Universitycs. Her current research interests include cybersecurity (wireless security, cyber-physical security, critical infrastructure security, 5G security, IoT security, and privacy), wireless communications and networks, and public safety communications.