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个人简介
Dr. John Hedengren is a Professor at Brigham Young University in the Chemical Engineering Department. He leads the BYU Process Research and Intelligent Systems Modeling (PRISM) group with a current focus on structured machine learning for optimization of energy systems, unmanned aircraft, and drilling. Prior to BYU he worked in industry for 7 years on nonlinear estimation and predictive control for polymers. His work includes the APMonitor Optimization Suite with a recent extension to the Python GEKKO language. He led the development of the Arduino-based Temperature Control Lab.
His professional service includes IEEE CSS Chair of Control Education, adjunct professor at the University of Utah, member of the AIChE CAST Committee, and Communications Chair for the American Automatic Control Council (A2C2). In 2005, he received a Ph.D. (Ch.E.) from the University of Texas at Austin for contributions to control and estimation of large-scale dynamic systems. He served as a Society of Petroleum Engineers (SPE) Distinguished Lecturer for 2018-2019, visiting 22 local sections to deliver a presentation on "Drilling Automation and Downhole Monitoring with Physics-based Models". He completed a sabbatical in 2020 to collaboratively develop combined physics-based and machine learned methods for optimization and automation.
研究兴趣
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e-Prime: Advances in Electrical Engineering, Electronics and Energy (2024): 100564
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e-Prime - Advances in Electrical Engineering, Electronics and Energypp.100564, (2024)
crossref(2024)
NUCLEAR ENGINEERING AND DESIGN (2024): 112906
COMPUTERS & CHEMICAL ENGINEERING (2024): 108521
PROCESSESno. 1 (2023): 197-197
DIGITAL CHEMICAL ENGINEERING (2023): 100091
Journal of chemical theory and computation (2023)
e-Prime - Advances in Electrical Engineering, Electronics and Energy (2023): 100201-100201
Journal of Chemical Theory and Computationno. 13 (2023): 4163-4171
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