Institute colloquium

Prof. Goëry Genty

Ultrafast nonlinear dynamics in optical fibers: from emerging platforms to machine learning control and applications

February 27, 2025

Start: 11:00 am

Conference Room at Leibniz IPHT

Contact persons at Leibniz IPHT: Maria Chernysheva

Goëry Genty is a Full Professor at Tampere University, Finland, where he leads a research group on ultrafast photonics. He obtained his MSc from the Institute of Optics Graduate School (France) and PhD from Aalto University (Finland). Following postdoctoral research in ultrafast optics, he joined Tampere University, where he has since established himself as a leading researcher in the field of nonlinear photonics. His work focuses on supercontinuum generation, nonlinear pulse propagation in optical fibers, and the application of machine learning in photonics. He has authored or co-authored more than 140 papers with several high-impact publications and has been recognized for his contributions to advancing nonlinear fiber optics. He is the director of the Finnish Flags hip for Photonics Research and Innovation and national infrastructure network for light-based technologies, two of the most prestigious programs funded by the Research Council of Finland. He is also the director of the national doctoral education pilot program in Photonics and international MSc program at Tampere University.

Nonlinear optical fibers provide a powerful platform for exploring ultrafast dynamics, enabling the generation, manipulation, and control of complex wave phenomena across diverse regimes. In particular, multimode fibers have emerged as a versatile platform for studying multidimensional nonlinear dynamics, enabling new degrees of freedom for light propagation and spatiotemporal control. Moreover, the integration of machine learning techniques has revolutionized the ability to predict and control ultrafast nonlinear processes, offering new avenues for real-time optimization and adaptive feedback mechanisms. In this talk, I will review our recent work on multimode optical fibers with focus on noise control, self-cleaning dynamics, and optimization of instabilities. I will also summarize our studies of machine learning-driven optimization for spectral control in supercontinuum generation, and nonlinear fiber-based extreme learning machines for high-speed optical computing. Our findings advance the understanding and application of nonlinear fiber optics for enhanced light control, spectral shaping, and ultrafast photonic processing.

The lecture will be given in English.