Vladislav Neskorniuk

Vladislav Neskorniuk received both his B.Sc. degree (2015) and M.degree with honors (2017) from Moscow Institute of Physics and Technology, the leading physics educational institution in Russia and the former Soviet Union. The topic of his master thesis was the nonlinear phenomena in fiber-optic communication systems, in particular, stable molecules of solitons. Having graduated, Vladislav gained research experience both in academia and in industry. He spent a year finalizing his master research in Skolkovo Institute of Science and Technology, a brand-new university, established in Russia in collaboration with the Massachusetts Institute of Technology. Later, Vladislav worked at Huawei, where he developed and numerically tested methods of nonlinear interference compensation in fiber-optic communication systems.

Before joining AiPT, Vladislav authored several conference papers and an “Optics Letters” journal paper. His works at Huawei were awarded company’s “Technolgy and Breakthrough Award”.

Besides his research activities, Vladislav was an active member of the university debating community of Russia. He participated in the organization of several debating tournaments in Russia and raised substantial funds for one of them.
Vladislav acted as ESR representative in FONTE between 2019-2021.

Email: v.neskorniuk@aston.ac.uk



Vlad’s Blog – the home of his blog is here

State-of-play: Update on Vlad’s research in FONTE

  • Numerical verification advanced modulation techniques
    Review of the most up-to-date nonlinear frequency division multiplexed (NFDM) based systems: the system based on the utilisation of periodic nonlinear solutions and end-to-end learnt system. The numerical simulations of the performance of the first system demonstrate that periodic nonlinear Fourier transform can be used to mitigate the drawbacks of the “ordinary” NFDM. The numerical simulations of the second NFDM system demonstrate that the application of the advanced concepts of the machine learning, particularly end-to-end learning realised via neural networks, can be applied to effectively mitigate the drawbacks of the NFDM concept related to the non-realistic case of the integrable channel. (from: FONTE Deliverable D1.3)
  • New modulation techniques for NFT systems
    Review of the advanced modulation techniques which can be employed for the NFT-based transmission systems. In particular, we address the case when both continuousspectrum(the quasi-linear part of nonlinear spectrum) and discrete eigenspectrum (the solitonic part) are modulated.This type of modulation can be achieved by the simultaneous application of Darboux transformand thenumerical solution of Gelfand-Levitan-Marchenko equations. Then, we review the advances in the mostrecent nonlinear frequency-division multiplexing (NFDM) technique, which allows us to have the explicitcontrol over the duration of the generated signal: the b-modulation. As it is shown, with the use ofexponential scaling for b-function, we can achieve 400 Gbit/s data rate for the dual-polarisation case, which isthe up-to-date number obtained by any NFDM system. (from: FONTE Deliverable D1.2)
  • Review and optimization results for the NIS NFT-based systems
    The distortion induced in the optical channel by Kerr nonlinearity is one of the main bottlenecks of the modern fibre-optic communications. Nonlinear Fourier transform (NFT) is the mathematical technique allowing for cancelling the nonlinear distortion easily. NFT transforms a signal from time domain into a spacial domain, referred to as the nonlinear spectrum, where the complex evolution of a signal by the interplay of Kerr nonlinearity and chromatic dispersion is represented as the linear localized phase shift. In this work, we describe nonlinear frequency division multiplexing (NFDM) systems where the information is encoded into and received from the nonlinear spectrum. Nonlinear inverse synthesis (NIS) systems utilizing only the continuous part of the nonlinear spectrum as an information carrier are a particular case of the broader NFDM concept. We describe NFDM systems utilizing continuous (NIS) and the discrete spectrum. For each type of NFDM system, we bring the main technological breakthroughs and performance milestones achieved. (from: FONTE Deliverable D1.1)