Rate My Professor Zhipeng Cai

Zhipeng Cai is a Professor in the Department of Computer Science at Georgia State University, where he also serves as Director of the INSPIRE Center and Leader of the Innovative Computing and Networking group. He holds an Affiliate Professor position in the Department of Computer Information Systems at the Robinson College of Business. Cai earned his Ph.D. and M.S. degrees in Computing Science from the University of Alberta in 2008 and 2004, respectively, and his B.S. degree in Computer Science from the Beijing Institute of Technology in 2001. His research interests encompass machine learning, privacy and security, large language models, big data, resource management and scheduling for high-performance computing, and data acquisition, collection, computation, and publication in wireless networks.

Cai has been elected an IEEE Fellow in 2024 for contributions to resource management and scheduling for high-performance computing and an ACM Distinguished Member in 2025 for data acquisition in wireless networks. Additional honors include the NSF CAREER Award in 2013, AAIA Fellow in 2023, and recognition as one of the World’s Top 2% Scientists by Stanford University from 2020 to 2024. He has authored over 100 publications in top IEEE and ACM journals and conferences, accumulating more than 18,000 citations. Key works include "Generative Adversarial Networks: A Survey Towards Private and Secure Applications" in ACM Computing Surveys (2022), "Collective Data-Sanitization for Preventing Sensitive Information Inference Attacks in Social Networks" in IEEE Transactions on Dependable and Secure Computing (2018), "A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems" in IEEE Transactions on Network Science and Engineering (2020), and "Privacy-Preserved Data Sharing Towards Multiple Parties in Industrial IoTs" in IEEE Journal on Selected Areas in Communications (2020). As Editor-in-Chief of Elsevier's High-Confidence Computing Journal, he also serves on the editorial boards of multiple IEEE Transactions, including Knowledge and Data Engineering, Vehicular Technology, Wireless Communications, and Computational Social Systems. Cai has chaired conferences such as ICDCS, ISBRA, and WASA, and supervised over 24 Ph.D. students, 15 of whom are tenure-track faculty at U.S. institutions. His research is funded by the National Science Foundation and the U.S. Department of State.