Rate My Professor Steven Low

Low's research specializations include control and optimization of communication networks, power systems, smart grids, and cyber-physical systems. His work has advanced network congestion control, including FAST TCP, convex relaxations of optimal power flow problems, and energy-efficient networking strategies. He published the book Analytical Methods for Network Congestion Control (Morgan & Claypool, 2017) and influential papers such as "Optimization Flow Control—I: Basic Algorithm and Convergence" (IEEE/ACM Transactions on Networking, 1999), "FAST TCP: Motivation, Architecture, Algorithms, Performance" (IEEE Communications Magazine, 2006), "Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures" (Proceedings of the IEEE, 2007), "Zero Duality Gap in Optimal Power Flow Problem" (IEEE Transactions on Power Systems, 2012), and "Branch Flow Model: Relaxations and Convexification" (IEEE Transactions on Power Systems, 2014). Low has earned major awards including the IEEE Koji Kobayashi Computers and Communications Award (2024), IEEE INFOCOM Achievement Award (2021), ACM SIGMETRICS Test of Time Award (2021), IEEE William R. Bennett Prize (1997 and 2017), ACM Fellow (2020), and IEEE Fellow (2008). He has contributed as Senior Editor for IEEE Transactions on Control of Network Systems and other journals, and served on advisory committees for NSF, PCAST, and industry boards.