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Research project

Complex nanophotonic and plasmonic networks for ultrafast optical devices

Staff

Lead researcher

Professor Otto Muskens

Professor of Physics

Research interests

  • Programmable photonic circuits using ultralow loss phase change materials.
  • Infrared metasurfaces for radiative cooling and defence applications.
  • Deep learning and AI enabled nanophotonic design.
Connect with Otto

Email: O.Muskens@soton.ac.uk

Research outputs

Deep learning enabled real time speckle recognition and hyperspectral imaging using a multimode fiber array
Ulas Kürüm, Peter R. Wiecha, Rebecca French & Otto L. Muskens, 2019, Optics Express, 27(15), 20965-20979
DOI: 10.1364/OE.27.020965
Type: article
Polycrystalline ZnO nanorods for lasing applications
N.I. Maad Tazri, O.L. Muskens, M.K. Shakfa & W. Maryam, 2019, Journal of Applied Physics, 125(123103), 1-5
DOI: 10.1063/1.5083965
Type: article
Ultrafast perturbation maps as a quantitative tool for testing of multi-port photonic devices
Kevin Vynck, Nicholas J. Dinsdale, Bigeng Chen, Roman Bruck, Ali Z. Khokhar, Scott A. Reynolds, Lee Crudgington, David J. Thomson, Graham T. Reed, Philippe Lalanne & Otto L. Muskens, 2018, Nature Communications, 9(1), 1-10
DOI: 10.1038/s41467-018-04662-2
Type: article
Snapshot fiber spectral imaging using speckle correlations and compressive sensing
Rebecca French, Sylvain Gigan & Otto L. Muskens, 2018, Optics Express, 26(24), 32302-32316
DOI: 10.1364/OE.26.032302
Type: article
Real-time monitoring and gradient feedback enable accurate trimming of ion-implanted silicon photonic devices
Bigeng Chen, Xingshi Yu, Xia Chen, Milan Milošević, David Thomson, Ali Khokhar, Shinichi Saito, Otto Muskens & Graham Reed, 2018, Optics Express, 26(19), 24953-24963
DOI: 10.1364/OE.26.024953
Type: article