- Robotics and Autonomous Systems
- Non-Destructive Testing and Evaluation (NDT&E)
- Ultrasonics
- +۷ مورد دیگر
Professor Stephen Pierce is a faculty member in the Department of Electronic and Electrical Engineering at the University of Strathclyde, within the Faculty of Engineering. He serves as Co-Director of the Centre for Ultrasonic Engineering and holds the Spirit Aerosystems/Royal Academy of Engineering Research Chair in 'In-process inspection of Aerospace Structures'. He leads the SEARCH (Sensor Enabled Automation, Robotics & Control Hub), a £50M applied NDT technology transfer laboratory. Co-Director, Centre for Ultrasonic Engineering Academic Director, UK Research Centre in Non-Destructive Evaluation (RCNDE) Robotics & Autonomous Systems Lead Coordinator, University of Strathclyde Chair, SRPe Robotics and Autonomous Systems Thematic Leadership Group Visiting Professor, Högskolan Väst, Sweden His research integrates robotics, ultrasonics, AI, and instrumentation for Non-Destructive Testing & Evaluation (NDT&E) and Structural Health Monitoring (SHM). His work supports Industry 4.0 and sustainable manufacturing across aerospace, energy, nuclear, and healthcare sectors. His recent publications emphasize AI-driven ultrasonic data analysis, robotic inspection systems, and real-time monitoring in composite and additive manufacturing. Key trends include deep learning for defect detection, human-machine collaboration in inspection, and probabilistic sensor fusion for robotic positioning. Anne Birt Award 2023 BINDT Annual Conference Award 2019 Knowledge Exchange Award 2016 John Grimwade Medal 2015 He supervises major research projects funded by EPSRC, Innovate UK, and industry partners, with a focus on technology transfer and industrial collaboration. His leadership in RCNDE and SEARCH demonstrates strong grant acquisition and interdisciplinary team management. He teaches Instrumentation & Microcontrollers (EE312) and contributes to Advanced Systems Engineering (EM502). The SEARCH laboratory operates across two sites: Royal College R2.41 (manufacturing applications) and Technology Innovation Centre TIC 7.14 (asset management), focusing on physical sensors, robotic deployment, and AI-based data interpretation.







