Contact Angelos Plastropoulos
- Tel: +44 (0) 1234 758475
- Email: A.Plastropoulos@cranfield.ac.uk
Areas of expertise
- Autonomous Systems
- Mechatronics & Advanced Controls
- Vehicle Health Management
Background
Angelos Plastropoulos is a Software Engineer with over 20 years of experience across multiple industries with a solid and balanced combination of technical, research and managerial set of skills. Angelos has worked on a broad spectrum of topics, such as human-computer interaction and visualisation, IoT, cloud computing, and simulations. Nonetheless, his primary skill set lies in the development of robotics applications and, more specifically, in ROS (Robot Operating System). He has been involved in this area since 2015 and became a ROS Ambassador in 2017. He focuses on developing robust systems that operate on robots for harsh environments, usually performing automated NDT inspections in areas such as hangars, offshore wind, FPSOs, and construction sites. Angelos has excellent experience managing international collaborative research projects and working with work packages against strict deadlines. He has been involved in more than 20 R&D projects as an engineer or project leader. He enjoys attending, publishing and presenting at conferences, seminars and other networking events.
Angelos is also a part-time PhD candidate, started at the end of October 2023, focusing his research work on the development of sophisticated NDT approaches applied in aircraft inspection. His supervisors are Prof Nicolas Peter Avdelidis and Prof Xavier P. V. Maldague
Research opportunities
Robotics Applications
- Localisation in ambiguous environments
- Fleet management for robots
- Develop Interoperability interfaces with maintenance 3rd party software applications
Machine Vision
- Defect detection and localisation
- Image fusion using heterogeneous sources (Vison, Thermal, etc)
- Photogrammetry
Current activities
Angelos is the Deputy Course Director in IVHM's MSc in Aviation Digital Technology Management
Finally, Angelos is the Lab manager in the Automated Diagnostics and Machine Vision Lab hosted in the Digital Aviation Research and Technology Centre (DARTeC).
Teaching about:
- Digital twins in predictive maintenance
- Aerial contact and non-contact based inspection
- Localisation and mapping
- Introduction to robotics middleware (ROS)
- Defect localization, monitoring and image processing
- Use of AI and ML for damage assessment and decision
- Safe flight control and obstacle avoidance
- Sensing and Instrumentation
Clients
- Boeing Co
- BAE Systems PLC
- TUI Airways Ltd
