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Liu receives NSF grant to advance next-generation complex networks
With the rapid integration of massive amounts of data and new data devices, today's network infrastructures are being stretched to their limits.
Kevin Liu, research assistant professor of electrical and computer engineering, recently received a $317,893 Communications and Information Foundations (CIF) grant from the National Science Foundation to develop new distributed algorithmic techniques that will increase thoughput and reduce delay in next-generation complex networks.
“This research not only works for computer networks, but can also transition to other complex network systems, such as smart electric power grid, smart transportation networks, supply chain management,” he said.
Liu’s work and the CIF program address the challenge of distributed control and optimization for next generation complex network systems, where the rapidly changing network states necessitate fast-convergence and low-delay in distributed optimization algorithms.
Drawing techniques from areas of mathematical modeling, optimization theory, control theory, queueing theory and stochastic analysis, Liu’s project aims to not only advance the knowledge in the algorithmic design for next generation complex networks, but will also explore new frontiers in network control and optimization.
contributions from Ryan Horns, Dept. of Electrical and Computer Engineering