Professor Mingyi Hong receives IEEE SPS Pierre-Simon Laplace Award
Professor Mingyi Hong was recently honored by the IEEE Signal Processing Society (SPS) with the Pierre-Simon Laplace Early Career Technical Achievement Award which honors individuals who have made significant technical contributions within the field early in their career. The award in particular recognizes Hong’s “contributions to non-convex, distributed and learning-based optimization for signal processing.”
Hong’s research focuses on contemporary issues in optimization, information processing and wireless networking. Here at the University, he leads a research team that is working on addressing the gap between algorithms and architectures in the context of internet of things technologies, optimization problems in the context of vast amounts of available data, challenges related to the management of dense cloud-based networks that will support the explosive growth in communications, development of innovative distributed photovoltaic-inverter control architecture to address challenges in current systems, and complex problems surrounding resource allocation. His paper titled “Learning to optimize: Training deep neural networks for interference management,” a joint work with Haoran Sun, Xiangyi Chen (University alumni), Qingjiang Shi, Xiao Fu, and Nicholas Sidiropoulos published in 2018 was also the recipient of the 2022 SPS Best Paper Award.
Hong will be formally recognized with the achievement award at the ICASSP 2023 scheduled to be held in Greece in August.
The Pierre-Simon Laplace Early Career Technical Achievement Award honors an individual who, over a period of years in his/her early career, has made significant technical contributions to theory and/or practice in technical areas within the scope of the Society, as demonstrated by publications, patents, or recognized impact on the field, including but not limited to, a standard, a product, or a technology trend.
Professor Mingyi Hong earned his master's degree in electrical and computer engineering from Stony Brook University in 2007 and Ph.D. in systems and information engineering from University of Virginia in 2011. He was a postdoctoral fellow in ECE with Professor Zhi-Quan (Tom) Luo from 2014 to 2017. From 2014 to 2017, he was an Assistant Professor at Iowa State University. Currently, he is an Associate Professor in ECE at the University of Minnesota Twin Cities.