Alexey V. Belonovskii

Alexey Belonovskii

(Алексей Белоновский)

Germany

Hi! I’m Alexey — a physicist and scientific software developer specializing in photonics, quantum optics, and AI-driven modeling. I am passionate about bridging physics, engineering, and artificial intelligence to develop innovative solutions in photonics and materials science.

My background combines academic research in nanophotonics and light–matter interaction with hands-on experience in scientific software development for optical simulation, signal processing, and data automation.

I also built a strong engineering career, including work as a Senior Software Engineer at Tungsten Automation, where I focused on developing critical production systems and scientific tools.

My main areas of interest include:

Photonics
Quantum Optics
Numerical Simulation
Python, C#, С++
Artificial Intelligence

I am enthusiastic about applying my interdisciplinary background to cutting-edge research and technology development. Feel free to explore my publications, projects, and short CV. I am always open to new collaborations, innovation-driven projects, and scientific discussions.

selected publications

Predicting VCSEL Emission Properties Using Transformer Neural Networks

Aleksei V. Belonovskii, Elizaveta I. Girshova, Erkki Lähderanta , and 1 more author

Laser & Photonics Reviews, Mar 2025

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Abstract This study presents an innovative approach to predicting VCSEL emission characteristics using transformer neural networks. It is demonstrated how to modify the transformer neural network for applications in physics. The model achieved high accuracy in predicting parameters such as VCSEL’s eigenenergy, quality factor, and threshold material gain, based on the laser’s structure. This model trains faster and predicts more accurately compared to conventional neural networks. The transformer architecture also suitable for applications in other fields is proposed. A demo version is available for testing at https://abelonovskii.github.io/opto-transformer/.
@article{Belonovskii2025, title = {Predicting VCSEL Emission Properties Using Transformer Neural Networks}, author = {Belonovskii, Aleksei V. and Girshova, Elizaveta I. and L{\"a}hderanta, Erkki and Kaliteevski, Mikhail}, journal = {Laser \& Photonics Reviews}, year = {2025}, month = mar, url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/lpor.202401636}, dimensions = {true}, doi = {10.1002/lpor.202401636}, }

Quantum analysis of luminescence of an exciton in a meso-cavity

Alexey V. Belonovski, Konstantin M. Morozov, Elizaveta I. Girshova , and 2 more authors

Opt. Express, Jun 2021

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Interaction of cavity modes with an exciton in a meso-cavity (the structure supporting several cavity modes separated by an energy interval comparable to Rabi-splitting of an exciton and cavity modes) has been analyzed using a quantum-mechanical approach. Simultaneous interaction of an exciton and several cavity modes results in few novel effects such as ladder-like increase of the exciton population in the system, quantum beating and non-monotonic dependence of the ground polariton state in the system on the pumping.

@article{Belonovski:21,
  author = {Belonovski, Alexey V. and Morozov, Konstantin M. and Girshova, Elizaveta I. and Pozina, Galia and Kaliteevski, Mikhail A.},
  journal = {Opt. Express},
  keywords = {Bragg reflectors; Dielectric mirrors; Optical pumping; Organic materials; Quantum beats; Quantum electrodynamics},
  number = {13},
  pages = {20724--20734},
  publisher = {Optica Publishing Group},
  title = {Quantum analysis of luminescence of an exciton in a meso-cavity},
  volume = {29},
  month = jun,
  year = {2021},
  url = {https://opg.optica.org/oe/abstract.cfm?URI=oe-29-13-20724},
  dimensions = {true},
  google_scholar_id = {hqOjcs7Dif8C},
  doi = {10.1364/OE.420277},
}