Zhipeng Cai

Distinguished University Professor

Department of Computer Science, Georgia State University

300+Publications
23,000+Citations
100+IEEE/ACM Transactions
26+PhD students supervised

About

Dr. Zhipeng Cai received his PhD and M.S. degrees in the Department of Computing Science at the University of Alberta. He is currently a Distinguished University Professor in the Department of Computer Science at Georgia State University, an Affiliate Professor in the Department of Computer Information Systems at Robinson College of Business, and Director of the INSPIRE Center. He is also the Director of the Innovative Computing and Networking (ICN) Group.

His research expertise lies in resource management and scheduling, high performance computing, privacy, networking, and big data. His research has been funded by multiple academic and industrial sponsors, including the National Science Foundation and the U.S. Department of State, and has resulted in over 300 publications in top journals and conferences with more than 23,000 citations, including over 100 IEEE/ACM Transactions papers. He is listed among The World's Top 2% Scientists (Stanford University, 2020–2024), and ScholarGPS ranks him in the top 0.05% of all scholars globally.

Dr. Cai serves as Editor-in-Chief of the Elsevier High-Confidence Computing Journal and Springer SN Computer Science, Associate Editor-in-Chief of Big Data Mining and Analytics, and Area Editor for IEEE Transactions on Vehicular Technology and the IEEE Internet of Things Journal. He is also an editor for IEEE Transactions on Information Forensics and Security, IEEE Transactions on Wireless Communications, and IEEE Transactions on Computational Social Systems. He is Steering Committee Co-Chair of WASA and a Steering Committee member of COCOON, IPCCC, and ISBRA, and has chaired numerous international conferences, including ICDCS, SocialCom, and ISBRA. He has supervised over 26 PhD students, 16 of whom are now tenure-track faculty members at US institutions. He is deeply committed to cybersecurity education through Eureka Labs, a free platform of inquiry-based, hands-on labs; since 2020 its 32 labs have received over 75,200 views and downloads from 112 countries.

Privacy Networking Big Data High Performance Computing Resource Management & Scheduling

Honors & Awards

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