I completed my Master’s degree at Université Paris-Est Créteil (UPEC) in France, where I trained as an Information Systems Engineer with a specialization in data engineering. Throughout my studies and professional experiences, I developed a strong interest in data processing, machine learning, and AI-driven analytical systems, which naturally led me toward research in intelligent monitoring and digital inspection.
Within the FOURIER MSCA Doctoral Network, my research focuses on developing AI-based super-resolution techniques to improve low-resolution metering and inspection data. Infrastructure monitoring often depends on UAV imagery, open-source spatial data, and low-cost sensors, which can suffer from limited quality and directly impact automated defect detection and asset health assessment. My goal is to reconstruct high-resolution images, videos, and multi-temporal signals from low-quality inputs, reducing uncertainty and enabling more reliable classification and degradation analysis.
I joined FOURIER because it offers a unique environment where advanced AI research is closely connected to real-world challenges. Its interdisciplinary nature, strong collaboration between academia and industry, and clear focus on practical impact strongly align with my ambition to contribute to smarter and more resilient systems.
