Bio
Captain Owen Sedej is an Instructor in The Department of Civil and Environmental Engineering at The United States Air Force Academy. Prior to his assignment as an instructor, he was stationed at Luke AFB, AZ. There, he served in the 56th Mission Support Group as the Executive Officer as well as in the 56th Civil Engineer Squadron as the Officer-in-Charge of Portfolio Optimization.
Owen received his commission from the United States Air Force Academy in April 2020. Following his commission, he attended the Air Force Institute of Technology and received his Master of Science in Environmental Engineering and Science in March 2022 as a Distinguished Graduate. Owen is also a registered Professional Engineer in the state of Arizona.
Education
Distinguished Graduate, Master of Science, Environmental Engineering and Science, U.S. Air Force Institute of Technology, Dayton, Ohio (2022)
Bachelor of Science, Civil Engineering, U.S. Air Force Academy, Colorado Springs, Colorado (2020)
Professional Experience
Instructor, Department of Civil and Environmental Engineering, U.S. Air Force Academy, Colorado Springs, Colorado (June 2023 − Present)
Executive Officer, 56th Mission Support Group, Luke AFB, Arizona (July 2023 – June 2024)
Officer-in-Charge Portfolio Optimization, 56th Civil Engineer Squadron, Luke AFB, Arizona (March 2022- July 2023)
Masters Student, Air Force Institute of Technology, Dayton, Ohio (August 2020- March 2022)
Honors & Awards
56th Fighter Wing Lance P. Sijan Junior Officer USAF Leadership Award Nominee (2023)
33rd Fighter Wing Annual Team Award Winner (2023)
Air Force Institute of Technology Dean's Award for Best Master's Thesis (2022)
Research and Scholarly Interests
Sustainability, Waste-to-Energy, Machine Learning, CFD Modeling, Industrial Ecology
Publications
Peer Reviewed Journal Articles
Sedej, O., & Mbonimpa, E. (2021). CFD Modeling of a Lab-Scale Microwave Plasma Reactor for Waste-to-Energy Applications: A Review. Gases, 1(3), 133-147.
Sedej, O., Mbonimpa, E., Sleight, T., & Slagley, J. (2022a). Artificial Neural Networks and Gradient Boosted Machines Used for Regression to Evaluate Gasification Processes: A Review. Journal of Energy and Power Technology, 4(3), 1-19.
Sedej, O., Mbonimpa, E., Sleight, T., & Slagley, J. (2022b). Application of Machine Learning to Predict the Performance of an EMIPG Reactor Using Data from Numerical Simulations. Energies, 15(7), 2559.
Thesis
Sedej, Owen D., “Application of Machine Learning Models with Numerical Simulations of an Experimental Microwave Induced Plasma Gasification Reactor” (2022). Theses and Dissertations. 5424.