Ph.D. in Computer Science, University of Massachusetts Amherst (1997) M.S. in Computer science, University of Massachusetts Amherst (1992) B.S. in Computer Science, Nanjing University (1986)
Zhi-Li Zhang joined the faculty of the Department of Computer Science and Engineering at the University of Minnesota as an Assistant Professor in 1997. He is currently the Qwest Chair Professor in Telecommunications. He was named a Distinguished McKnight University Professor in 2013. Zhang received his M.S. degree (1993) and Ph.D. degree (1997) in computer science from the University of Massachusetts. He served as the Associate Director for Research at the Digital Technology Center, University of Minnesota from 2015 to 2021.
Zhang's research interests lie broadly in networking, edge and cloud computing, cyber-physical systems, artificial intelligence/machine learning (AI/ML) support for networked systems and networked systems support for AI/ML. His past research was centered on the analysis, design and development of scalable Internet quality-of-service (QoS), content distribution networks, Internet measurement, resilient routing systems and network security among others. His current research thrusts focus primarily on i) building service-oriented, application-aware, highly scalable, resilient, and secure 5G/next-generation (NextG) networked systems; and ii) developing and incorporating novel AI/ML algorithms to enable intelligent software-defined networking infrastructures, edge/cloud systems and emerging applications such as collaborative autonomous driving, Digital Twins, metaverse and Internet-of-Things (IoT).
Selected Grants NSF CISE CCF Core Medium Award: MoDL: Analytical Foundations for Deep Learning and Inference over Graphs Calder, Giannakis, Zhang; National Science Foundation; 7/1/22 - 6/30-25
CNS Core: Medium: NFLambda -- A Granular, Scalable and Secure NFV Framework for High Performance Packet Processing at 100 Gbps and Beyond Zhang, Z., Lu, K. & Zhai, A. B.; National Science Foundation; 10/1/21 - 9/30/24
NSF Convergence Accelerator Track G: SONIC: Securely Operate through 5G Networks with Informed Control Zhang, Z.; University of Utah; 8/1/22 - 7/31/23