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Yang Weng received a Ph.D. in August 2014 in electrical and computer engineering from Carnegie Mellon University, where he also earned an M.S. in machine learning. Prior to that, he received an M.S. in statistics from University of Illinois-Chicago, and a bachelor's degree in electrical engineering from Huazhong University of Science and Technology (HUST) in China. Weng's research focuses on the estimation and optimization of power systems, especially the link between physics and data. He won the Best Paper Award at the 2012 and 2013 International Conference on Smart Grid Communication. In 2014, his paper was named one of the best papers at the IEEE Power and Energy Society General Meeting. His work was also recognized by an ABB fellowship. Most recently, Weng has accepted a faculty offer from Arizona State University. He will likely start his faculty career in January 2017.
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IEEE Transactions on Smart Gridno. 1 (2023): 354-364
IEEE Transactions on Power Systemsno. 99 (2023): 1-15
2023 IEEE Power & Energy Society General Meeting (PESGM)pp.1-5, (2023)
IEEE Transactions on Power Systemsno. 99 (2023): 1-10
IJCNNpp.1-8, (2023)
2023 Panda Forum on Power and Energy (PandaFPE)pp.1743-1747, (2023)
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