77 citations · 82 across the 8 of their papers we have counts for
10 papers
Low-cost passive single-shot ultrafast imaging at 685 Gfps
Dilem Eşlik, Bahadır Utku Kesgin, Uğur Teğin
Capturing ultrafast transient phenomena conventionally requires streak cameras or computational imaging based on compressed sensing, which lead to complex and costly systems. In th…
Scalable Photonic Neural Networks via Surrogate Scattering-Matrix Inverse Design
Azka Maula Iskandar Muda, Uğur Teğin
Inverse-designed nanophotonic media are a promising platform for compact optical neural networks, but training them end to end is expensive because each adjoint iteration couples t…
Recurrent neural networks implemented through spatiotemporal light propagation in optical fibers
Dilem Eşlik, Bahadır Utku Kesgin, Uğur Teğin
Recurrent neural networks excel at temporal tasks and video processing but require energy-intensive sequential memory operations. We demonstrate that multimode optical fibers natur…
Multimode fiber laser cavities as nonlinear optical processors
Dilem Eşlik, Bahadır Utku Kesgin, Fatma Nur Kılınç +1
Optical computing provides a promising path toward energy-efficient machine learning, yet implementing nonlinear transformations without complex electronics or high-power sources r…
Engineering Rogue Waves via Multimode Interactions in Integrated Waveguides
Gülsüm Yaren Durdu, Azka Maula Iskandar Muda, Uğur Teğin
We explore rogue wave formation in multimode silicon nitride (SiN) waveguides with multimode nonlinear Schrödinger equation-based simulations. Pure fundamental-mode excitat…
Spatiotemporal Nonlinear Pulse Dynamics in Multimode Silicon Nitride Waveguides
Azka Maula Iskandar Muda, Uğur Teğin
We present an open-source multimode nonlinear Schrödinger equation-based simulation to investigate spatiotemporal nonlinear pulse propagation in thin-film silicon nitride (SiN) wav…
Real-time surrogate modeling of nonlinear pulse evolution in multimode fibers
Bora Çarpınlıoğlu, Bahadır Utku Kesgin, Uğur Teğin
Modeling nonlinear pulse propagation in multimode fibers is challenging due to the large number of interacting modes and the resulting spatiotemporal complexity. Traditional optimi…
Photonic neural networks with spatiotemporal chaos in multimode fibers
Bahadır Utku Kesgin, Uğur Teğin
Optical computing has gained significant attention as a potential solution to the growing computational demands of machine learning, particularly for tasks requiring large-scale da…
Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks
Uğur Teğin, Babak Rahmani, Eirini Kakkava +3
Spatiotemporal nonlinear interactions in multimode fibers are of interest for beam shaping and frequency conversion by exploiting the nonlinear propagation of different pump regime…
Competing Neural Networks for Robust Control of Nonlinear Systems
Babak Rahmani, Damien Loterie, Eirini Kakkava +4
The output of physical systems is often accessible by measurements such as the 3D position of a robotic arm actuated by many actuators or the speckle patterns formed by shining the…