Huseynov Huseyn

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E–mail:Β khuseyn.21@gmail.com

Place of study: Moscow State Technical University of Civil Aviation, Moscow, Russia.

Status: Postgraduate student at the Department of Aircraft Engines

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission): 2.9.6. Air navigation and operation of aircraft equipment (technical sciences)

Scientific major: Analysis and collection of aircraft engine parameter data. Development of neural network architectures for diagnostics. Modeling and training of neural networks considering complex parameter processing. Fault diagnostics and engine condition prediction.

Important publications: Β 

  1. Mashoshin O. F. Methodology for diagnosing the technical condition of aviation gas turbine engines using recurrent neural networks (RNN) and long short-term memory networks (LSTM) / O. F. Mashoshin, H. Huseynov, A. S. Zasukhin // Civil Aviation High Technologies. – 2024. – β„– 27(6). – Pp. 21-41.
  2. Mashoshin O. F. Selection and adaptation of neural network algorithms for diagnosing the technical condition of aircraft engines / O. F. Mashoshin, H. Huseynov // Automation. Modern Technologies. – 2024. – Vol. 78, β„– 10. – P. 435-442.