Fedor Getman

PhD Student

Fedor completed his bachelor and master degree at Pisa University with a thesis on THz Near-field microscopy at National Enterprise for Nano-Science and Nano-Technology (NEST) of Pisa. He participated in organizing and teaching multiple stages addressed to high school students for preparation of the math and physics Olympiads.

Fedor joined primalight in January 2018. Fedor’s research focuses on fabrication of nanostructures for wavefront engineering and optical neural networks

email: fedor.getman@kaust.edu.sa

location: building 1, level 4, 4200-SW38

Fedor’s research projects

Silicon on insulator nanofabrication technology

Inverse designed ultra-flat optics via artificial intelligence

Fedor’s publications

Ab initio; Analytic theory; Light-trapping Arrays article; computer simulation; equipment; equipment design; instrumentation; laser; optics; radiation scattering; theoretical model; three dimensional imaging Asymptotic analysis; Band structure; Crystal lattices; Perturbation techniques Au dimer Chemical; Nonlinear Dynamics; Quantum Theory; Thermodynamics Computer simulation; Electric field effects; Electric potential; Light propagation; Photorefractive materials; Refractive index; Solitons Computer Simulation; Equipment Design; Equipment Failure Analysis; Models Diffractive optics; Nematic liquid crystals; Nonlinear optics; Optical switches; Optical waveguides; Photorefractive materials; Refractive index; Solitons Dynamics Eigenvalues and eigenfunctions; Electrooptical effects; Integrated optics; Light propagation; Nematic liquid crystals; Optical communication; Optical waveguides Electron optics Energy Finite difference time domain method Light propagation Maxwell equations Nematic liquid crystals Nonlinear equations Optical switches Optical waveguides Perovskite Phase transitions Photonic crystals Photonics plasmonic plasmonics Plasmons Quantum theory solar cells Solitons

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2019

Fratalocchi, Andrea; Lopez, Arturo Burguete; Makarenko, Maxsim; Getman, Fedor

Flat optics polarizing beam splitter Miscellaneous

App. No. 62/799,324 (Pending), 2019, (50 nm thin metasurface technology for controlling vectorial light beams with 99% experimental efficiency across all the visible and made from inexpensive material with CMOS compatible large scale manufacturing. (App. No. 62/799,324)).

BibTeX | Tags: AI photonics