Dr Fedor Getman

  • Research Associate
Fedor Getman
  • PhD in Photonics (2023), KAUST with Andrea Fratalocchi| Research focus: metasurfaces for visible light manipulation and AI-powered applications.
  •  MSc in Physics (Thesis: SNOM-based THz imaging system), University of Pisa.

Makarenko, M., Wang, Q., Burguete-Lopez, A., Getman, F., Silvio G., Bernard G., and Fratalocchi, A. Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders. Computer Vision and Pattern Recognition  (CVPR 2022),      

Wang, Q., Makarenko, M., Burguete Lopez, A., Getman, F. and Fratalocchi, A.

Advancing statistical learning and artificial intelligence in nanophotonics inverse design. Nanophotonics, Vol. 11 (Issue 11), 2022 pp. 2483-2505.

Li, N., Xiang, F., Elizarov, M.S., Makarenko, M., Lopez, A.B., Getman, F., Bonifazi, M., Mazzone, V. and Fratalocchi, A. (2022), Large-Scale and Wide-Gamut Coloration at the Diffraction Limit in Flexible, Self-Assembled Hierarchical Nanomaterials (Adv. Mater. 11/2022). Adv. Mater., 34: 2270083.

Makarenko, M., Wang, Q., Burguete-Lopez, A., Getman, F. and Fratalocchi, A. Robust and Scalable Flat-Optics on Flexible Substrates via Evolutionary Neural Networks. Adv. Intell. Syst., 3: 2100105. (2021), 

Getman, F., Makarenko, M., Burguete-Lopez, A. and Fratalocchi, A. Broadband vectorial ultrathin optics with experimental efficiency up to 99% in the visible region via universal approximators. Light Sci Appl 10, 47 (2021).

Makarenko, M., Burguete-Lopez, A., Getman, F. Fratalocchi, A.. Generalized Maxwell projections for multi-mode network Photonics. Sci Rep 10, 9038 (2020).

Patents

Getman, F., Makarenko, M., Burguete-Lopez, A. and Fratalocchi, A "Light Processing Device based on multilayer nano-elements," Unites States Patent, No. US 20220091318A1.

Makarenko, M., Wang, Q., Burguete-Lopez, A. Getman, F., and Fratalocchi, A "Hoculus Hyperspectral Imaging System" Unites States Provisional U.S. Application No. 63/277,741.