John Hedengren | AIChE

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John Hedengren

Citation name

Hedengren, J.

Affiliation

Brigham Young University

State

UT

Country

USA

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 that is currently used by 70 universities for process control education. His 85 publications span topics of data science, machine learning, smart grid optimization, unmanned aerial systems, and predictive control.

Sessions chaired or co-chaired

Advances in Process Control
2014 AIChE Annual Meeting (ISBN: 978-0-8169-1086-1)
Computers in Operations: Process Safety and Control
2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)
Economics and Process Control
2015 AIChE Annual Meeting Proceedings (ISBN: 978-0-8169-1094-6)
Economics and Process Control
2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)
Process Control Applications I
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
Process Control and Optimization Developments
2020 Virtual Spring Meeting and 16th GCPS (ISBN: 978-0-8169-1113-4)
Process Control and Optimization Developments I
2020 Virtual Spring Meeting and 16th GCPS (ISBN: 978-0-8169-1113-4)
Process Control and Optimization Developments I
2020 Virtual Spring Meeting and 16th GCPS (ISBN: 978-0-8169-1113-4)
Process Control and Optimization Developments I
2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety (ISBN: 978-0-8169-1115-8)
Process Control and Optimization Developments II
2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety (ISBN: 978-0-8169-1115-8)
Process Control and Optimization Developments II
2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety (ISBN: 978-0-8169-1115-8)
Process Control and Optimization Developments II2023 Spring Meeting and 19th Global Congress on Process Safety
Process Control and Optimization Developments II2023 Spring Meeting and 19th Global Congress on Process Safety
Process Control and Optimization Developments III2023 Spring Meeting and 19th Global Congress on Process Safety
Process Control and Optimization Developments III
2024 Spring Meeting and 20th Global Congress on Process Safety (ISBN: 978-0-8169-1121-9)
Process Control and Optimization Developments III
2024 Spring Meeting and 20th Global Congress on Process Safety (ISBN: 978-0-8169-1121-9)

Authored

(133a) Learn Data-Driven Engineering with Interactive Modules
2023 Spring Meeting and 19th Global Congress on Process Safety
(178b) Generative AI for Process Systems Engineering: Potential Applications and Pitfalls
2024 Spring Meeting and 20th Global Congress on Process Safety (ISBN: 978-0-8169-1121-9)

Associated proceedings 

2014 AIChE Annual Meeting
2016 AIChE Annual Meeting
2012 Spring Meeting & 8th Global Congress on Process Safety
2015 AIChE Annual Meeting Proceedings
2017 Annual Meeting
2013 AIChE Annual Meeting
2019 Spring Meeting and 15th Global Congress on Process Safety
2019 AIChE Annual Meeting
2020 Virtual Spring Meeting and 16th GCPS
2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety
2022 Spring Meeting and 18th Global Congress on Process Safety Proceedings
2022 Annual Meeting
2023 Spring Meeting and 19th Global Congress on Process Safety
2023 AIChE Annual Meeting
2024 Spring Meeting and 20th Global Congress on Process Safety