Suresh Perinpanayagam
Papers
1
Total Citations
4
H-Index
1
About
Dr. Suresh Perinpanayagam is a leading researcher in intelligent systems for aerospace maintenance and autonomous inspection. His work primarily focuses on the intersection of computer vision, sensor fusion, and deep learning to advance non-destructive evaluation and automated aircraft MRO (Maintenance, Repair, and Overhaul) operations. A key contribution is his pioneering development of CNN-fusion architectures that integrate visual and thermographic images for robust object detection, enabling mobile robots to perceive their environment more reliably during aircraft inspections. This foundational work, published in 2023, has already garnered early citations, reflecting its growing influence. Dr. Perinpanayagam’s research is driving the future of autonomous navigation and visual inspection in aviation, aiming to enhance safety, efficiency, and automation. His notable achievements include advancing the practical deployment of neural networks for real-world industrial challenges, positioning him as a key innovator in the transition toward fully automated aircraft maintenance systems.
Research Focus
Key Achievements
Top Papers
- 1