I am currently a postdoctoral researcher at the University of Orléans, working on computational imaging and machine learning methods for hyperspectral image super-resolution and Earth observation.
I completed my PhD on AI for computer-aided diagnosis of mycetoma, focusing on segmentation and classification of histopathological microscopic images and computational approaches for neglected tropical diseases. My research has since expanded toward remote sensing, computational imaging, and resource-efficient AI methods.
Alongside research, I have more than ten years of experience in higher education teaching, mentoring, and supervision in mathematics and quantitative disciplines, with interests spanning applied mathematics, AI, and scientific computing.
Feel free to contact me about collaborations, teaching opportunities, or interdisciplinary research.
Interests
- Computational imaging
- Medical image analysis
- Remote sensing & hyperspectral imaging
- Image super-resolution
- Resource-efficient & self-supervised learning
- Applied mathematics
News
2026
- Presented at EGU
- Submitted Self-Supervised Super-Resolution for Sentinel-5P Hyperspectral Images
- Submitted AI for Mycetoma Diagnosis in Histopathological Images: The MICCAI 2024 Challenge
2025
- Presented our accepted paper at IGARSS 2025
- Awarded First Prize, Australian Climate Challenge
2024
- Presented at MICCAI
- Organised a Challenge on AI for Mycetoma Diagnosis
- Started my Postdoc
2023
- PhD defence