Related people (106)
Ugur Tegin
Ph.D., EPFL Photonics, PresentM.S., Bilkent University Material Science and Nanotechnology, 2018 - Master Thesis: "Spatiotemporal nonlinear dynamics in graded-index multimode fibers"B.S., Bilkent University Physics, June 2015 - Senior Project: "Dissipative Raman soliton laser" Main Publications:Teğin, U., Dinç, N. U., Moser, C., & Psaltis, D. (2021). Reusability report: Predicting spatiotemporal nonlinear dynamics in multimode fibre optics with a recurrent neural network. Nature Machine Intelligence, 1-5.Teğin, U., Yıldırım, M., Oğuz, İ., Moser, C., & Psaltis, D. (2020). Scalable Optical Learning Operator. arXiv preprint arXiv:2012.12404. Tegin, U., Rahmani, B., Kakkava, E., Psaltis, D., & Moser, C. (2020). Single-mode output by controlling the spatiotemporal nonlinearities in mode-locked femtosecond multimode fiber lasers. Advanced Photonics, 2(5), 056005. Teğin, U., Rahmani, B., Kakkava, E., Psaltis, D., & Moser, C. (2020). All-fiber spatiotemporally mode-locked laser with multimode fiber-based filtering. Opt. Express, 28, 23433-23438. Teğin, U., Rahmani, B., Kakkava, E., Borhani, N., Moser, C., & Psaltis, D. (2020). Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks. APL Photonics, 5(3), 030804. Teğin, U., Kakkava, E., Rahmani, B., Psaltis, D., & Moser, C. (2019). Spatiotemporal self-similar fiber laser. Optica, 6(11), 1412-1415. Teğin, U., & Ortaç, B. (2018). Cascaded Raman scattering based high power octave-spanning supercontinuum generation in graded-index multimode fibers. Scientific Reports, 8(1), 1-7. Teğin, U., & Ortaç, B. (2018). All-fiber all-normal-dispersion femtosecond laser with a nonlinear multimodal interference-based saturable absorber. Optics Letters, 43(7), 1611-1614. Teğin, U., & Ortaç, B. (2017). Spatiotemporal instability of femtosecond pulses in graded-index multimode fibers. IEEE Photonics Technology Letters, 29(24), 2195-2198.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.