Thomas has over 19 years of work experience in both industrial and academic research domains, more specifically, in Autonomous Systems, Artificial Intelligence (AI), Embedded Systems, Software, Electronics, and Avionics Systems Design. In his professional industrial career has functioned as a Lead Design Engineer, Design Engineer, Software/Embedded Software Engineer, Electronics Design Engineer, Systems Engineer, Marine Electronics, and Software Engineer. He has collaborated with a number of Major Aerospace and Marine Companies in the UK, Europe, and the US. As a Lead Design Engineer has been in direct communication with EASA and he has certified a product to DAL level (Aerospace Safety-Critical Systems) while at the same time leading different teams of engineers. He is an expert on Aerospace Avionics standards (e.g. DO178B, DO254, and ARP4754), and on full design product lifecycle at systems, electronic hardware, and software/embedded software level.

Thomas is an Assistant Professor (Senior Lecturer) in Aerospace Engineering (Avionics), as well as a member of the Centre for Future Transport and Cities (CFTC) Research Centre at Coventry University. He is a Module leader of Avionics Systems I and II. He has designed research projects related to Autonomous Navigation, Autonomous Unmanned Aerial Vehicles (UAV), and Renewable Energy.

Thomas is the Coventry Principal Investigator of the EV-Lift (Electric Vehicle Light-weighting integrated Future-proof Traction), which is an APC12 project / Innovate UK project. The project is a collaboration with YASA Motors Ltd (Industrial partner Lead) and Lotus Cars Ltd. Coventry is responsible for the torque vectoring technology related to safety, control, autonomy, and economy.

He has worked as a Research Associate at the University of Kent on INTERREG funded research project on Autonomous Navigation. During this post, he designed novel real-time path planning and computer vision algorithms, designed autonomous navigation systems, and taught and supervised a number of undergraduate and postgraduate students in Autonomous Navigation, Computer Vision, Software, Embedded Software, Systems, Electronics, and Mathematics.

Autonomous Systems Design, Unmanned Aerial Systems (UAS) and Vehicles, Avionics Systems Design, Autopilot Design, Autonomous Navigation, Collision Avoidance, Real-time Path Planning, Swarms, Local Positioning, Control, Embedded Systems, Sensors, Data Fusion, Software and Hardware Design, Artificial Intelligence (AI), Image Processing, Pattern Recognition. Also, Avionics Safety-Critical Systems, as well as Renewable Energy Systems.