Roxanne E. and Michael J. Zak Professor at Cornell University (Ithaca, New York)
Chair of PhD Studies in Cornell Systems Engineering
Associate Director of Cornell Energy Systems Institute.
Fengqi You is the Roxanne E. and Michael J. Zak Professor at Cornell University. He also serves as Chair of PhD Studies in Cornell Systems Engineering and Associate Director of Cornell Energy Systems Institute. He was on the faculty of Northwestern University from 2011 to 2016, and worked at Argonne National Laboratory as an Argonne Scholar from 2009 to 2011. His research focuses on novel computational models, optimization algorithms, statistical machine learning methods, and multi-scale systems analytics tools for sustainability. His recent awards include American Institute of Chemical Engineers (AIChE) W. David Smith, Jr. Publication Award (2011), Northwestern-Argonne Early Career Investigator Award (2013), National Science Foundation CAREER Award (2016), AIChE Environmental Division Early Career Award (2017), AIChE Sustainable Engineering Research Excellence Award (2017), Computing and Systems Technology (CAST) Outstanding Young Researcher Award from AIChE (2018), Cornell Engineering Research Excellence Award (2018), ACS Sustainable Chemistry & Engineering Lectureship Award (2018), AIChE Excellence in Process Development Research Award (2019), AIChE Young Investigator Award for Innovations in Green Process Engineering (2020), Curtis W. McGraw Research Award from ASEE (2020), and American Automatic Control Council (AACC) O. Hugo Schuck Award (2020), as well as a number of best paper awards. He is currently an Editor of Computers & Chemical Engineering, a Consulting Editor of AIChE Journal, an associate editor of AAAS journal Science Advances and of IEEE Transactions on Control Systems Technology , and an editorial board member of several journals (e.g. ACS Sustainable Chemistry & Engineering and Industrial & Engineering Chemistry Research). For more information about his research group: www.peese.org
Industrial ecology and life cycle assessment/optimization