Ryan Enos

This research focuses on advanced composite materials used in engineering structures, particularly how they are manufactured and how defects or variability during manufacturing (such as fiber placement, molding, and curing) affect their final performance and strength. The work combines physics-based simulation with machine learning and statistical modeling to predict uncertainty and quality in composite structures. This area would suit students interested in materials engineering, manufacturing process simulation, and data-driven modeling of structural performance.

Publication output has been modest and relatively steady over the last decade, with occasional gaps and a consistent but low rate of about 1-2 papers per year in recent years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026