Photo of Oleksandr Kotlyar
    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    20062019
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    Personal profile

    General

    I have joined Aston Institute of Photonic Technologies, Aston University as Marie S.-Curie MULTIPLY Research Fellow in October 2018. Prior this I worked as a Research Fellow in Department of Theoretical Physics at B. Verkin Institute for Low Temperature Physics and Engineering (Kharkiv, Ukraine). My higher education was obtained at V.N. Karazin Kharkiv National University, (BSc and MSc in Physics) and B. Verkin Institute for Low Temperature Physics and Engineering (PhD in Physics).

    Research Interests

    • Machine learning methods for optical communications;
    • Nonlinear Fourier transform (NFT) based optical communication systems;
    • Density functional theory (DFT) modelling of the structural and electronic properties.

    Employment

    • 10/2018 – current, Marie S.-Curie MULTIPLY Research Fellow, Aston University;
    • 11/2006 – 7/2018 Research Fellow, B. Verkin Institute for Low Temperature Physics and Engineering, Ukraine;
    • 08/2016 -11/2016 Visiting Fellow, Pavol Jozef Šafárik University in Košice, Slovakia;
    • 11/2003 – 10/2006 PhD student, B. Verkin Institute for Low Temperature Physics and Engineering,Ukraine;
    • 9/2003 – 2/2005 Research engineer, B. Verkin Institute for Low Temperature Physics and Engineering of the National Academy of Sciences of Ukraine.

    Funding Applications and Awards

    • MULTIPLY Marie Skłodowska-Curie COFUND fellowship, 2018;
    • RCN Regional Research Funds in Norway Grant by RFF-Nord program, project preMagne, 2018;
    • Scholarship for researchers in the framework of the National Scholarship Programme of the Slovak Republic (SAIA), 2016;
    • President of Ukraine Grant for support young scientist research, 2013.

    Contact Details

    Room:  NW604 
    Phone:  0121 204 3538
    Email: 
    o.kotlyar1@aston.ac.uk

    Education/Academic qualification

    PhD

    MSc, V.N. Karazin Kharkiv National University

    Fingerprint Dive into the research topics where Oleksandr Kotlyar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    impurities Physics & Astronomy
    solid solutions Physics & Astronomy
    magnetic properties Physics & Astronomy
    Fourier transforms Engineering & Materials Science
    Learning systems Engineering & Materials Science
    vibration Physics & Astronomy
    Impurities Engineering & Materials Science
    Support vector machines Engineering & Materials Science

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 2006 2019

    Open Access
    File
    telecommunication
    fiber optics
    communication
    optics

    Artificial neural network-based equaliser in the nonlinear fourier domain for fibre-optic communication applications

    Kamalian-Kopae, M., Vasylchenkova, A., Kotlyar, O., Pankratova, M., Prilepsky, J. & Turitsyn, S., 17 Oct 2019, 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019. IEEE, 8871832

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Equalizers
    Fiber optics
    fiber optics
    Fourier transforms
    communication
    Open Access
    File
    Optical communication
    Support vector machines
    Learning systems
    Fourier transforms
    Communication systems

    The phenomenon of conversion polymorphism in Bi-containing metastable perovskites

    Khalyavin, D. D., Salak, A. N., Fertman, E. L., Kotlyar, O. V., Eardley, E., Olekhnovich, N. M., Pushkarev, A. V., Radyush, Y. V., Fedorchenko, A. V., Desnenko, V. A., Manuel, P., Ding, L., Čižmár, E. & Feher, A., 16 Apr 2019, In : Chemical Communications. 55, 32, p. 4683-4686 4 p.

    Research output: Contribution to journalArticle

    Polymorphism
    Hot Temperature
    Pressure
    Metastable phases
    Perovskite

    Unsupervised and supervised machine learning for performance improvement of NFT optical transmission

    Kotlyar, O., Pankratova, M., Kamalian Kopae, M., Vasylchenkova, A., Prilepsky, J. E. & Turitsyn, S. K., 4 Mar 2019, 2018 British and Irish Conference on Optics and Photonics, BICOP 2018 - Proceedings. IEEE, 8658274

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    machine learning
    Light transmission
    Support vector machines
    Learning systems
    quadrature amplitude modulation