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Taieb Znati
- Professor Emeritus
Dr. Znati obtained the MS (Computer Science) from Purdue University, and the PhD (Computer Science, 1988) from Michigan State University.
He joined the faculty of the Department of Computer Science with a joint appointment in the Graduate Program in Telecommunications at the University of Pittsburgh in 1988. Prior to that he was a member of the Syrius research group headed by Dr. G. Lelan at INRIA (France), which investigated issues related to the design and analysis of distributed data base systems.
Dr. Znati's current research interests focus on the design of network level channel abstractions for real-time communication networks to support multimedia environments, the design and analysis of medium access control protocols to support distributed real-time systems, and the investigation of fundamental design issues related to distributed systems in the areas of machine learning, cognitive modeling, problem solving, and analogical reasoning.
Representative Publications
M. Abliz and T. Znati, "Defeating DDoS using Productive Puzzles," ICISSP 2015:, pp. 114-123, February 2015.
T Jing, W. Li, X. Chen, X. Cheng, X. Xing. Y. Huo, T. Chen. H-A. Choi, and T. Znati , "Achievable Transmission Capacity of Cognitive Radio Networks with Cooperative Relaying," EURASIP Journal Wireless Communication and Networking, pp. 2015:94, 2015.
X. Xerandy, T. Znati and L. Comfort, "Cost-effective, Cognitive, Undersea Network for Timely and Reliable Near-field Tsunami Warning," International Journal of Advanced Computer Science and Applications, pp. 224-233, 2015.
Y. Le, X. Cheng, D. Chen, N. Zhang, T. Znati, M. Al-Rodhaan, and A. Al-Dhelaan,, "Distributed Back-pressure Schedulng with Opportunistic Routing in Cognitive Radio Networks," EURASIP Journal Wireless Communication and Networking, 2015.
Q Yu, T. Znati, and W. Yang, "Energy-efficient, QoS-award Packet Schedule in High-speed Networks," IEEE Journal on Selected Areas of Communications, pp. 2789-2800, 2015.
Research Interests
Distributed multimedia systems
High-speed networks to support real-time applications
Performance evaluation
Local area networks