Nicolas P. Avdelidis
Cranfield University, Université Laval, Vaughn College of Aeronautics and Technology
Papers
9
Total Citations
82
H-Index
6
About
Nicolas P. Avdelidis is a distinguished researcher whose work spans non-destructive evaluation (NDE), autonomous robotics, and intelligent inspection systems, with a particular focus on aviation maintenance and structural diagnostics. His research has made significant contributions to automating aircraft inspection processes, bridging the gap between traditional NDE techniques and cutting-edge machine learning and robotics technologies. Avdelidis has been instrumental in advancing thermographic inspection methods, including automated transient thermography for carbon fibre reinforced polymer (CFRP) structures, and has championed the integration of deep learning architectures — such as CNN-fusion models and YOLO-based detection systems — into mobile robot navigation for Maintenance, Repair, and Overhaul (MRO) hangar environments. His vision of the "hangar of the future" underscores a commitment to sustainable, fully automated aviation infrastructure. His most-cited works, accumulating over 80 citations collectively, reflect growing recognition of his contributions across robotics navigation, obstacle detection, and comprehensive aircraft structural diagnostics. Notably, his 2024–2025 body of work demonstrates a prolific and forward-thinking research agenda. For students and researchers in aerospace engineering, robotics, or NDE, Avdelidis represents a vital voice shaping the intelligent, automated future of aircraft maintenance.
Research Focus
Key Achievements
Top Papers
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- 4Mobile Robot Obstacle Detection and Avoidance with NAV-YOLO9 citations · 2024
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- 7The ‘hangar of the future’ for sustainable aviation5 citations · 2024
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