معرفی
Benjamin Bevans is a Research Assistant Professor in the Department of Industrial & Systems Engineering at the University of Oklahoma. His work focuses on advanced manufacturing through data analytics, machine learning, and in-situ process monitoring in Additive Manufacturing (AM) systems.
- Ph.D., Industrial & Systems Engineering, Virginia Tech
- B.S., Mechanical & Materials Engineering, University of Nebraska-Lincoln
Research domains include Physics-Based Machine Learning for thermal history control in Laser Powder Bed Fusion (LPBF), Computer Vision for defect detection, and Quality Assurance through heterogeneous sensor integration. He specializes in Wire Arc Additive Manufacturing (WAAM) and Directed Energy Deposition (DED) processes.
Recent publications highlight trends in autonomous control systems for AM, Bayesian transfer learning for in-situ qualification, and multi-sensor fusion for flaw detection. His work bridges materials science and process optimization in metal AM.
He is based at the Sooner Advanced Manufacturing Laboratory in Norman, Oklahoma, and his research has been published in top journals such as Additive Manufacturing and Journal of Materials Processing Technology.
