Nonlinear Analysis and Prediction of Time Series in Multiphase Reactors

Mingyan Liu is the Peter and Evelyn Fuss Chair of Electrical and Computer Engineering at the University of Michigan. She received her B.Sc. in electrical engineering in 1995 from Nanjing University of Aeronautics and Astronautics, Nanjing, China, M.Sc. in systems engineering, and Ph.D. in electrical engineering from the University of Maryland, College Park, in 1997 and 2000, respectively. She joined the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, in September 2000, where she is currently a Professor. Her research interests are in optimal resource allocation, sequential decision theory, incentive design, and performance modeling and analysis, all within the context of large-scale networked systems. Her most recent research activities involve cyber risk quantification and designing cybersecurity incentive mechanisms using large-scale Internet measurement data and machine learning techniques. She is the recipient of the 2002 NSF CAREER Award, the University of Michigan Elizabeth C. Crosby Research Award in 2003 and 2014, the 2010 EECS Department Outstanding Achievement Award, the 2015 College of Engineering Excellence in Education Award, the 2017 College of Engineering Excellence in Service Award, and the 2018 Distinguished University Innovator Award. She is a Fellow of the IEEE and a member of the ACM.