Prof. Fengqi You

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Prof. Fengqi You

Cornell University, USA

Title: Multi-Scale Life Cycle Optimization and Sustainability Analytics for Biorefinery Systems

Abstract:


Biography:

Fengqi You is the Roxanne E. and Michael J. Zak Professor at Cornell University, and is affiliated with the Smith School of Chemical and Biomolecular Engineering, the Graduate Fields of Operations Research and Information Engineering, Electrical and Computer Engineering, Civil and Environmental Engineering, Mechanical Engineering, Systems Engineering, and Center of Applied Mathematics. He also serves as the Associate Director of Cornell Energy Systems Institute and Chair of Cornell Systems Engineering PhD Studies. 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. He has published more than 120 peer-reviewed articles in leading journals, and has an h-index of 50. Some of his research results have been editorially highlighted in Science and Nature, featured on journal covers (e.g. Energy & Environmental Science, ACS Sustainable Chemistry & Engineering, and Industrial & Engineering Chemistry Research), and covered by major media outlets (e.g. The New York Times, BBC, BusinessWeek, and National Geographic). 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), and ACS Sustainable Chemistry & Engineering Lectureship Award (2018), as well as a number of best paper awards. He is currently an Editor of Computers & Chemical Engineering, a Consulting Editor of AIChE Journal, and an editorial board member of several leading journals (e.g. ACS Sustainable Chemistry & Engineering and Industrial & Engineering Chemistry Research). His research focuses on novel computational models, optimization algorithms, statistical machine learning methods, and multi-scale systems analysis tools for smart manufacturing, digital agriculture, data analytics, energy systems, and sustainability. For more information about his research group: www.peese.org