Research Output per year
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
Artifcial 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. E. & Turitsyn, S. K., 23 Jun 2019. 1 p.Research output: Contribution to conference › Paper
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, 8871832Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Equalizers
Fiber optics
fiber optics
Fourier transforms
communication
Machine learning for performance improvement of periodic NFT-based communication system
Kotlyar, O., Kamalian Kopae, M., Prilepsky, J. E., Pankratova, M. & Turitsyn, S. K., 26 Sep 2019. 4 p.Research output: Contribution to conference › Paper
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 journal › Article
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, 8658274Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
machine learning
Light transmission
Support vector machines
Learning systems
quadrature amplitude modulation