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Ziang Wei– PhD candidate –Project: Thermographic dataset for training deep learning models Supervisor: Prof. Ahmad Osman and Prof. Xavier Maldague |
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Adrien Soetemon– MSc candidate –Project: Implementation of non destructive ultrasonic testing of mechanical parts using a robotic arm Supervisor: Prof. Pierre Bélanger |
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Andrew Ouellette
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James Liu
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Sara Shahsavarani– PhD candidate –Project: Multi-modal image processing pipeline for NDE of structures and industrial assets Supervisor: Prof. Xavier Maldague
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Hena Bata Nkirda– PhD candidate –Project: Analyzing the Impact of Digital X-ray Radiography Image Quality Parameters on Deep Learning Model Performance Supervisor: Prof. Xavier Maldague |
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Keith Sebastian– MSc candidate –Project: Optimization of Electromagnetic Acoustic Transducers (EMATs) for Ultrasonic Defect Detection Supervisor: Prof. Tobin Filleter |
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Pengfei Zhu– PhD candidate –Project: Characterization of water content and delamination in thermal modified woods using terahertz time-domain spectroscopy technique Supervisor: Prof. Xavier Maldague |
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Elnaz B.Shokouhi-PhD candidate –Project: Fourier spectral theory of pulsed photothermal radiometry, signal analysis and parametric measurements in two-layered media Supervisor: Prof. Andreas Mandelis |
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Zahra Omidi-PhD candidate –Project: Integration of active thermography and ground penetrating radar for the detection and evaluation of delamination in concrete slabs Supervisor: Prof. Xavier Maldague
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Danilo Stocco-PhD candidateProject: Development of adaptive resistance spot welding methodology based on non-destructive ultrasonic weld growth monitoring Supervisor: Prof. Roman Maev |
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Sandra Pozzer-PhD candidate –Project: Smart use of infrared thermography for civil infrastructure inspection Supervisor: Prof. Xavier Maldague
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Benjamin Méthot-MSc candidate –Project: Inspection of Antique Egyptian Pyramids with Infrared Thermography Supervisor: Prof. Xavier Maldague
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Anita Gregorian-PhD candidateProject: Ultrasonic Monitoring of Fatigue of Additively Manufactured Alloys Supervisor: Prof. Roman Maev |
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Hugo Hervé-Côte– MSc candidate –Project: PAUT Image Analysis by Machine Learning Supervisor: Prof. Pierre Bélanger |
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Mohammadebrahim Bajgholi– PhD candidate –Project: Total focusing method applied to probability of detection Supervisor: Prof. Martin Viens |
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Vlad Tusinean-MSc candidateProject: Real-time interface characterization in ultrasonic images of resistance spot welds using deep learning Supervisor: Prof. Roman Maev |
|| AGM2023 || Invited Speakers || Student Presentations || Awards – PhD || Awards – MSc ||