Personal profile
Personal Statement
Mehrab is a researcher with experience in Non-Destructive Evaluation (NDE) and structural analysis. He is currently pursuing a PhD at the University of Strathclyde, focusing on improving signal processing and defect identification in pipeline inspection gauges (PIGs) using AI models. His PhD is conducted in collaboration with Cokebusters Ltd. as the industrial partner.
Education/Academic qualification
Master of Science, Structural Engineering, University of Tehran
1 Oct 2020 → 1 Jun 2024
Doctor of Philosophy, Electronic And Electrical Engineering, University Of Strathclyde
1 Dec 2024 → …
Keywords
- Non-Destructive Evaluation
- Structural Health Monitoring
- Signal processing
- AI
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Collaborations and top research areas from the last five years
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A convex phased-array ultrasonic inspection gauge for small-diameter pipelines with enhanced resolution and sensitivity
Peyton, C., Zhang, D., Zamanian, M., Bettley, N., Lewis, H., Mohseni, E., Lines, D. & Dobie, G., 5 Mar 2026, In: IEEE Transactions on Instrumentation and Measurement . 75, 12 p., 9510612.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Physics-informed machine learning for ultrasonic inspection of small-diameter pipelines
Zamanian, M., Peyton, C., You, H., Mohseni, E., Bettley, N. & Dobie, G., 9 Sept 2025.Research output: Contribution to conference › Presentation/Speech › peer-review