معرفی
Angelos Plastropoulos is a Lecturer in Automated Inspection and Diagnostics at Cranfield University's Centre for Autonomous and Cyberphysical Systems, within the School of Aerospace, Transport and Manufacturing. With 24 years of experience in software engineering, he specializes in robotics applications, particularly the Robot Operating System (ROS), and leads research in autonomous inspections for aerospace and industrial sectors. His roles include Deputy Course Director for the MSc program and Lab Manager for Automated Diagnostics and Robotics facilities.
Research Focus: Plastropoulos investigates robotics, autonomous systems, and machine vision for non-destructive testing (NDT) in high-risk environments like offshore wind farms and aircraft hangars. His work emphasizes sensor fusion, defect detection, and structural health management, with applications in sustainable aviation and predictive maintenance.
Publication Trends: His recent articles (2023–2025) focus on machine learning-enhanced aircraft inspections, ROS-based navigation, and digital twin technologies. Key themes include obstacle avoidance algorithms, thermographic defect detection, and smart hangar automation, reflecting a multidisciplinary integration of robotics, computer vision, and aerospace engineering.
Awards:
- Associate Fellow of Advance Higher Education (2023)
Leadership & Projects: He has managed 27 R&D projects, secured $20M in funding for Epic Health, and collaborates with industry partners like Boeing, BAE Systems, and Safran. His labs focus on autonomous diagnostics, and he mentors engineers in robotics and software architecture.
