activity
20172026
most citedScalable Optical Learning Operator

187 citations · 707 across the 15 of their papers we have counts for

collaborators

17 papers

physics.optics2026

Deep Inverse-Designed Nanophotonic Processors with Structural Nonlinearity from Repeated Phase Encoding

Azka Maula Iskandar Muda, Uğur Teğin

Passive nanophotonic scattering regions implement linear optical transformations, and cascading input-independent regions alone does not create functional depth because the resulti…

physics.optics2026

Resolution-Agnostic Lensless Imaging via Fourier Neural Operators

Kerem Ekec, Uğur Teğin

Lensless cameras based on thin diffusers offer a compact alternative to conventional refractive imaging but rely on computational reconstruction, since the diffuser's point spread…

physics.optics2026

Self-optimizing multichannel optical computing

Fatma Nur Kılınç, Uğur Teğin

Optical computing offers ultrafast, energy-efficient alternatives to conventional digital processors, yet most implementations remain confined to single-channel processing, severel…

physics.optics2025

Optical Spiking Neural Networks via Rogue-Wave Statistics

Bahadır Utku Kesgin, Gülsüm Yaren Durdu, Uğur Teğin

Optical computing could reduce the energy cost of artificial intelligence by leveraging the parallelism and propagation speed of light. However, implementing nonlinear activation,…

physics.optics2025

The role of modes in nonlinear fiber optical computing

Firdevs Yüce, Bora Çarpınlıoğlu, Uğur Teğin

We investigate the nonlinear propagation of light in graded-index multimode fiber, utilizing it as an optical computing unit, and quantify how it employs waveguide modes to process…

physics.optics2025

Fiber-based diffractive deep neural network

Bahadır Utku Kesgin, Firdevs Yüce, Uğur Teğin

Optical computing has reemerged as a promising alternative computing paradigm for providing energy-efficient information processing in the age of artificial intelligence. Among var…