Rate My Professor Jingyi Wang

Jingyi Wang is an Associate Professor and Transfer Advisor in the Department of Computer Science at San Francisco State University, a position she has held since 2019. She earned her Ph.D. in Electrical and Computer Engineering from the University of Houston in 2019 under advisor Dr. Miao Pan, M.S. in Electrical and Computer Engineering from Auburn University in 2015 under Dr. Guofu Niu, and B.S. in Physics from Nankai University in China in 2012. Her academic career focuses on advancing privacy-preserving technologies in computer science applications.

Wang's research interests encompass big data analysis and cybersecurity for cyber-physical systems, including data-driven optimization with differential privacy, privacy preservation in smart grids, information-centric networks, cognitive radio networks, and security guarantees in cyber-physical systems. She also investigates distributed resource allocation in wireless networks, spectrum trading, and wireless big data privacy, as highlighted in the department's cybersecurity research page. Notable awards include the Best Dissertation Award from the ECE Department at the University of Houston in Spring 2019 and the Best Paper Award at IEEE GLOBECOM 2017 for her work on primary users' operational privacy preservation. Key publications feature "Data-driven spectrum trading with secondary users’ differential privacy preservation" (IEEE Transactions on Dependable and Secure Computing, 2021), "SAFE: Secure Appliance Scheduling for Flexible and Efficient Energy Consumption for Smart Home IoT" (IEEE Internet of Things Journal, 2018), "Data-driven transportation network company vehicle scheduling with users’ location differential privacy preservation" (IEEE Transactions on Mobile Computing, 2021), "Towards plausible differentially private ADMM based distributed machine learning" (ACM CIKM, 2020), and contributions to IEEE Transactions on Wireless Communications and IEEE Journal on Selected Areas in Communications. With over 220 citations, her work influences privacy-preserving mechanisms in networking and IoT. Additionally, she contributes to computer science education through roles in the Center for Science and Mathematics Education and CS4All initiatives.