معرفی
Jean Provost is a Full Professor in the Department of Engineering Physics at Polytechnique Montréal, with affiliations to the Montreal Heart Institute, IVADO, and the Institute of Biomedical Engineering. His research focuses on ultrasound imaging, cardiac and cerebral vascular imaging, and superresolution image reconstruction using machine learning and optimization. Based on 96 publications, his work emphasizes ultrasound localization microscopy, neural network applications, and microvascular hemodynamics.
- Education: Ph.D. (Columbia University), MPhil (Columbia University), M.Sc.A. (École Polytechnique Montréal), Engineering Degree (École Centrale Paris), License (Université Paris XI), B.Eng. (École Polytechnique Montréal)
Research trends from 15 recent articles include:
- 3D and dynamic ultrasound localization microscopy for microvascular mapping
- Deep learning for image reconstruction and neural network pruning
- Machine learning-driven aberration correction and superresolution imaging
- Acoustoelectric and cavitation-based imaging techniques
- Applications in cardiac diagnostics and dementia detection
Supervision includes 2 Ph.D. and 8 Master's theses completed at Polytechnique Montréal (2023), covering topics like optical ultrasound detection, microbubble modulation, and spatiotemporal sampling.
