معرفی
Mathilde Hary is a Doctoral Researcher in the Doctoral Programme in Engineering and Natural Sciences, focusing on advanced optical systems and machine learning integration. Her research explores the intersection of nonlinear optics, fiber technologies, and algorithmic optimization, particularly in supercontinuum generation, genetic algorithms, and neural network applications.
Her key research interests include developing novel methodologies for optimizing optical fiber systems using metaheuristic algorithms and machine learning techniques. These efforts aim to enhance broadband operation, improve signal processing capabilities, and control nonlinear dynamics within fiber-based systems. Hary's work bridges fundamental optics research with applied machine learning, addressing challenges in optical communication and spectroscopy.
In recent years, her publications highlight advancements in spectral shaping of supercontinuum through comparative studies of optimization algorithms, machine learning-driven OAM mode excitation in ring-core fibers, and compressive sampling in ultra-fast optical systems. These studies underscore her contributions to both theoretical and experimental aspects of nonlinear photonics.
- Key Collaborators: J.M. Dudley, G. Genty, S. Ramachandran, and others.
- Themes: Nonlinear fiber dynamics, AI-driven optical systems, and high-dimensional data analysis.
