Graduated from Voronezh State University in 1976, majoring in “Radiophysics and Electronics”. Currently head of Information Processing and Security Technologies chair at Voronezh State University. Research interests: analysis and design of information collection and processing systems, methods and techniques of information processes and systems computer modeling, system analysis in information
security, digital image processing, neural networks and neural network technologies in decision-making systems.
N. I. Berezhnov, A. A. Sirota, “Regularization of the self-attention mechanism in transformer blocks and its application to image classification and restoration problems”, Artificial Intelligence and Decision Making, 2025, no. 2, 114–129
2024
2.
A. Sirota, A. Akimov, R. Otyrba, “Image warping and its application for data augmentation when training deep neural networks”, Informatics and Automation, 23:2 (2024), 407–435
S. V. Savvin, A. A. Sirota, “Algorithms for multi-frame image super-resolution under applicative noise based on deep neural networks”, Computer Optics, 46:1 (2022), 130–138
M. A. Dryuchenko, A. A. Sirota, “Image stegoanalysis using deep neural networks and heteroassociative integral transformations”, Prikl. Diskr. Mat., 2022, no. 55, 35–58
A. A. Sirota, A. O. Donskikh, A. V. Akimov, D. A. Minakov, “Multivariate mixed kernel density estimators and their application in machine learning for classification of biological objects based on spectral measurements”, Computer Optics, 43:4 (2019), 677–691
A. A. Sirota, M. A. Dryuchenko, E. Yu. Mitrofanova, “Digital watermarking method based on heteroassociative image compression and its realization with artificial neural networks”, Computer Optics, 42:3 (2018), 483–494
E. K. Algazinov, V. A. Shul'gin, I. A. Lavrinenko, A. A. Sirota, “A fluorescence spectrum analyzer based on a fiber-optic $Y$-circulator”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:14 (2018), 50–57; Tech. Phys. Lett., 44:7 (2018), 626–629
A. V. Akimov, A. A. Sirota, “Synthetic data generation models and algorithms for training image recognition algorithms using the Viola-Jones framework”, Computer Optics, 40:6 (2016), 911–918
2015
9.
A. A. Sirota, M. A. Dryuchenko, “Generalized image compression algorithms for arbitrarily-shaped fragments and their implementation using artificial neural networks”, Computer Optics, 39:5 (2015), 751–761
M. A. Dryuchenko, A. A. Sirota, “Steganography algorithm for information hiding based on spatial deformation of full-color image fragments”, Computer Optics, 38:4 (2014), 833–842
11.
A. A. Sirota, A. Yu. Ivankov, “Block algorithms of image processing based on Kalman filter for superresolution reconstruction”, Computer Optics, 38:1 (2014), 118–126
