Dr Ehsan Mohseni

Personal statement

Dr. Mohseni received his B.Sc. in 2006 in materials science, metallurgical engineering and continued his studies on to an M.Sc. program in metal forming processes at the University of Tehran, Iran. Following his working experience in Oil & Gas industry, and because of his interest in the field of Non-Destructive Evaluation (NDE), he enrolled in a Ph.D. program at ETS, Montreal, Canada with a focus on automated defect detection and characterization using eddy currents electromagnetic NDE method. In the course of his research activities in Canada, he had collaborations with renowned aerospace industries and manufacturers. Dr. Mohseni has more than 30 conference and journal papers mostly communicated through prestigious international conferences and distinguished peer-reviewed NDE journals. He has been able to deploy his research experience to co-develop agile and flexible automated robotic NDE solutions for welded, additive manufactured, and carbon-reinforced composite components through his appointment as a Lecturer in the advanced Centre of Ultrasound Engineering (CUE) research group at the Department of Electronics and Electrical Engineering in 2020. He also supports the Royal Academy of Engineering and Spirit AeroSystems research chair, Professor Pierce, assisting with his endeavours of developing a state-of-art multi-million advanced Robotically Enabled Sensing hub. Dr. Mohseni’s current research is aligned with the NDE 4.0 vision and objectives to identify and tackle future NDE technology barriers. His research interests encompass a wide range of NDE techniques and various applications such as joining, additive, metal production line, and composite inspections. More specifically, multi-physics FEM for electromagnetic induction, ultrasound wave propagation and heat transfer, multi-sensor data fusion, machine learning for intelligent NDE data interpretation, and the NDE probability of detection studies forms most of his research undertakings.