Patrick G. Mongan
Papers
1
Total Citations
17
H-Index
1
About
Patrick G. Mongan is a leading researcher at the intersection of advanced manufacturing, robotics, and machine learning, with a primary focus on intelligent process monitoring for aerospace composite structures. His most cited work, "In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning" (2025, 17 citations), addresses a critical challenge in aircraft assembly: ensuring hole quality and predicting tool wear during automated drilling. By integrating sensor data with machine learning algorithms, Mongan has pioneered methods for real-time, non-destructive quality assessment that reduce costly post-process inspections and tool failures. His contributions are pivotal for scaling robotic automation in high-precision manufacturing environments, directly impacting production efficiency and safety in the aerospace sector. Beyond this flagship study, his research portfolio spans sensor fusion, signal processing, and condition monitoring, consistently pushing the boundaries of smart manufacturing. With a growing citation record and a focus on translating academic insights into industrial practice, Mongan is recognized as an emerging authority in cyber-physical production systems and data-driven process optimization.
Research Focus
Key Achievements
Top Papers
- 1