Zebadiah Miles
PhD Candidate, Michigan State University
Ultrasonic Non-Destructive Evaluation · EMAT · Digital Twins
About
I am a PhD candidate in the Department of Electrical and Computer Engineering at Michigan State University. My research focuses on the development and application of ultrasonic nondestructive evaluation techniques, including electromagnetic acoustic transducers (EMAT), eddy current (ECT), and multi-modal sensing systems for infrastructure inspection.
My work spans characterizing microstructural variability in structural alloys, developing hybrid sensing platforms for rail inspection, and evaluating additively manufactured materials using advanced ultrasonic methods.
Publications
Selected peer-reviewed publications. Full list on Google Scholar.
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2026
Analysis and Characterization of a Planar Fiber-Coil Sensor for High-Frequency Immersion Ultrasonic Sensing
IEEE Sensors Journal
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2025
Ultrasonic properties of multi-material SS420-IN718 structures fabricated using laser directed energy deposition
International Journal of Precision Engineering and Manufacturing, 26(3), 689–700
Cited by 4
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2025
A novel multi-fidelity Gaussian process regression approach for defect characterization in motion-induced eddy current testing
NDT & E International, 150, 103274
Cited by 4
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2025
Laser generated surface acoustic wave using diffractive optical elements
Optics and Lasers in Engineering, 195, 109325
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2025
Method and System for Non-Contact Rail Inspection Using a Hybrid EMAT, MFL and MIEC Transducer Excited Using Laser Generated Ultrasound
US Patent App. 19/092,496
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2024
Hybrid multi-modal NDE sensing system for in-motion detection and localization of rolling contact fatigue damage in rails
NDT & E International, 147, 103209
Cited by 10
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2024
Elastic, anelastic, and thermal properties of P91 steel with microstructural variability
Nuclear Technology, 210(8), 1279–1294
Cited by 5
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2024
Detecting microstructural variability in P91 steel using coda waves
Nondestructive Testing and Evaluation, 39(8), 2622–2645
Cited by 2
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2023
Characterizing microstructural variability in P91 steel using nonlinear ultrasonic Rayleigh waves
International Journal of Pressure Vessels and Piping, 204, 104978
Cited by 12
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2023
Characterizing the as-fabricated state of additively fabricated IN718 using ultrasonic nondestructive evaluation
Applied Sciences, 13(14), 8137
Cited by 6
Consultation
I offer paid consultation sessions on topics related to ultrasonic NDE, EMAT, sensor design, rail inspection, and related areas. To request a meeting, fill out the form below and I will follow up to schedule a time.