Machine Learning in Nonlinear and Ultrafast Photonics

Machine Learning in Nonlinear and Ultrafast Photonics Speaker: Professor John Dudley Affiliation: Université Marie et Louis Pasteur, Besançon, France; Fundamental Research Chair, Institute University de France, Paris. About the Talk Machine learning is becoming an important tool in ultrafast nonlinear photonics, particularly in the analysis and optimization of complex optical systems and the exploration of optical computing. This tutorial-level presentation will introduce the rapidly developing intersection of machine learning and nonlinear photonics. Topics will include neural networks for data analysis, evolutionary algorithms for broadband source optimization, data-driven discovery of physical models, and the use of supercontinuum nonlinearity in optical neural networks. The talk is designed to be accessible to non-specialists and will provide an introduction to key concepts, current research directions, and emerging opportunities in this field. Date: Thursday, 12 November 2026 Time: 8:00 PM East Africa Time (UTC+3) Organized by the IEEE student branch.