John D. Hedengren
From Wikipedia, the free encyclopedia
BornJuly 3, 1977
CitizenshipUnited States
Knownforprocess control, machine learning, optimization
FieldsChemical engineering
John D. Hedengren | |
|---|---|
 | |
| Born | July 3, 1977 |
| Citizenship | United States |
| Known for | process control, machine learning, optimization |
| Scientific career | |
| Fields | Chemical engineering |
| Website | BYU Faculty Profile |
John D. Hedengren (born July 3, 1977) is an American chemical engineer, professor at Brigham Young University, and researcher known for his work in process control, dynamic optimization, and machine learning applications in engineering.
Hedengren has published on physics-informed machine learning for optimizing energy systems, unmanned aircraft, and drilling processes.[1] His work includes the development of APMonitor Optimization Suite, Gekko Optimization Suite, and the Temperature Control Lab.[2] Hedengren runs the APMonitor YouTube Channel with educational videos on control, optimization, and machine learning for engineers.[3]
Awards and honors
Hedengren has received several awards, including:
- 2014: AIChE David Himmelblau Award[4]
- 2018: AIChE Computing Practice Award[5]
- 2024: John R. Ragazzini Award, American Automatic Control Council[6]
- 2025: Process Automation Hall of Fame[7]
