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Boris Vishnyakov
Deputy head of departement

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Boris Vishnyakov
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Team management+ Science+ Application+

Hello, I am Boris Vishnyakov. I have over 18 years of experience artificial intelligence and data analysis tasks such as: machine/deep learning, image processing, object detection and scene semantic segmentation, video surveillance, biometrics, autonomous driving, natural language processing, named entity recognition, auto ML tasks; software development of high-load client-server applications; over 12 years in team and project management. At the moment I hold a head of department of arificial intellegence and data analysis position and manage more than 100 scientists, developers, engineers, testers and other technical staff, divided into 7 labs. I have wide business interests with many participants of video monitoring, security, retail markets. I have PhD degree in system analysis, control and information processing and quite a number of publications in international journals.

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Boris Vishnyakov

ABOUT ME

Boris Vishnyakov

BORIS VISHNYAKOV

PERSONAL QUALITIES

I am an energetic person and I learn very fast. I have the ability to understand the problem and find an effective solution in a limited period of time.
I have advanced skills in such fields as video surveillance, video analytics, facial biometrics, autonomous driving, image processing, machine learning (including deep learning: reinforcement learning, NLP, Auto ML).
I also have advanced skills in team and project management, software development (full life cycle of development), writing technical specifications and business communication.

CURRENT POSITION

I work in FGUP GosNIIAS since 2005 in the area of machine vision and software development. Started as a technician in 2005, obtained a head of group position in 2010. Next step was a head of lab position in 2012. At the moment I hold a head of department for AI and data analysis position and manage more than 100 scientists, developers, engineers, testers and other technical staff, divided into 6 labs.

During last 12 years I supervised the development and implementation of the image processing and deep learning algorithms for video analytics and biometrics, image and video processing, autonomous driving, technical vision tasks. Oversaw the development, testing and support of the software, based on the implemented algorithms. Prepared and published more than 50 papers, more than 20 of them in SCOPUS and WoS databases. Promoted latest technologies for algorithm implementation and optimization (mostly C++ with some procedures in SSE, AVX, Nvidia CUDA, Nvidia Tensor RT, Intel OpenVINO), and for creation of modern, stylish and responsive user interfaces (mostly C# or web-based). Widely used team and project management, source control, automatic testing software - MS Sharepoint + MS Dev Ops.

VITA

I was born in 1984 in Moscow, Russia. Entered the Moscow Aviation Institute (National Research University) in 2000. For the first years of education went in for programming and software development. Learned more than 20 programming and markup languages. Was a part of the university team that won Russian programming contest in 2002. After that started to work on statistic and probability problems. Graduated with honors from the university in 2006. Got PHD in system analysis, control and information processing in 2009 (Development of deterministic equivalent and bootstrap methods for stochastic programming tasks with probabilistic or quantile criteria).

MY SKILLS

Management skills

Management software

100%
100%
100%
75%
90%
100%

Scientific fields

Scientific software

100%
90%
100%
100%
90%
80%
70%
80%
100%
70%
80%
50%
90%

Programming and markup languages

System, programming, office and multimedia software

  • C++ (standard, visual C++, QT, std, C++ 11, 14, 17)
  • C# (.NET, WPF)
  • Pascal
  • Python (standard, NumPy)
  • Bash, Shell
  • PHP
  • Perl
  • Javascript (standard, jQuery, AJAX)
  • HTML, CSS (2.0, 3.0, Bootstrap, Foundation, Blueprint)
  • TEX, LaTEX
  • Windows (XP, Vista, 7, 8, 10), Windows Server (2003, 2008, 2012)
  • Linux (Debian, Ubuntu, Kubuntu)
  • MS Visual Studio, Eclipse, QT Creator
  • MS Office (MS Word, MS Powerpoint, MS Excel, MS Sway)
  • OpenOffice
  • Google Docs
  • SVN: GitHUB, Subversion
  • Photoshop, Lightroom
  • FFmpeg, Mencoder, VirtualDub

OVER 17 YEARS OF EXPERIENCE

2022 - PRESENT FGUP GosNIIAS
Head of department of artificial intelligence and data analysis
Leading a department of more than 100 people (scientists, developers, engineers, testers and other technical staff), divided into 7 laboratories
  • Development of optimized software applications (algorithm low-level optimizations, pruning, quantization, hardware-based inference frameworks, client-server architectures)
  • Development of DCNN algorithms for object classification, detection and tracking, recognition, image segmentation, 3D dense reconstruction, lidar data analysis, face detection and recognition, behaviour recognition,
  • Development of CNN and classic algorithms for data analysis, predictive analytics, remaing useful life, speech recognition, NLP, named entity recognition
  • Development of new DCNN architectures and learning methods: reinforcement learning, auto ML, NLP, attention models
  • Writing papers, participation in the top conferences (IEEE, SPIE, ISPRS)
Project management:
  • Client-server system of aerial photography
  • Client-server video analytic system for CCTV cameras
  • Client-server biometric system for CCTV cameras
  • ROS2 set of applications for autonomous driving
  • NLP and attention models for document classification and correlation
  • Auto ML for real-time applications
  • Reinforcement learning for antagonistic games
2021 - 2022 FGUP GosNIIAS
Deputy head of department
Leading a half of department: about 100 people (scientists, developers, engineers, testers and other technical staff), divided into 4 laboratories
  • Development of software applications
  • Development of DCNN algorithms for object classification, detection and tracking, recognition, image segmentation, 3D dense reconstruction, lidar data analysis, face detection and recognition, behaviour recognition, NLP, data analysis
  • Development new DCNN architectures and learning methods: reinforcement learning, auto ML, NLP, attention models
  • Writing papers, participation in the top conferences (IEEE, SPIE, ISPRS)
Project management:
  • Client-server system of aerial photography
  • Client-server video analytic system for CCTV cameras
  • Client-server biometric system for CCTV cameras
  • ROS2 set of applications for autonomous driving
  • NLP and attention models for document classification and correlation
  • Auto ML for real-time applications
  • Reinforcement learning for antagonistic games
2012 - 2021 FGUP GosNIIAS
Head of laboratory
Leading a laboratory of 12-24 people (scientists, developers, engineers, testers and other technical staff), divided into 3 groups
  • Development of application software
  • Development of DCNN algorithms for object classification, detection and tracking, recognition, image segmentation, 3D dense reconstruction, lidar data analysis, face detection and recognition, behaviour recognition
  • Writing papers, participation in the top conferences (IEEE, SPIE, ISPRS)
  • Development of new methods for image processing and machine / deep learning
Project management:
  • Client-server biometric system using DL photos in US (West Virginia, Indiana)
  • Client-server system of aerial photography
  • Library for video analysis (ITV/AxxonSoft)
  • Client-server video analytic system for CCTV cameras
  • Client-server biometric system for CCTV cameras
  • ROS2 set of applications for autonomous driving
  • Leading two RFBR grants (12-07-00789 Technology and development of intelligent video analytics for automated situational video surveillance and security, 15-07-09362 Detection and identification of the person and the vehicle on the images from the cameras)
2010 - 2012 FGUP GosNIIAS
Head of group
Leading a group of 4-6 people (developers and engineers)
  • Development of application software
  • Development of algorithms for scene analysis and processing of video sequences
  • Writing papers, participation in conferences
Project management:
  • Library for video analysis (ITV/AxxonSoft)
  • Client-server face identification system
2006 - 2010 FGUP GosNIIAS
Engineer
  • Study of state of the art papers on image processing
  • Development of new methods of image processing and the scene analysis, video analysis
  • Development of probabilistic methods for the detection and tracking of moving objects on video sequences
  • Writing papers, participation in conferences
2005 - 2006 FGUP GosNIIAS
Technician
  • Study of state of the art papers on image processing
  • Writing papers, participation in conferences
  • Studying programming languages
2009 - 2014, 2021 - PRESENT Moscow Aviation Institute
Associate professor
Lectures:
  • Probability theory and statistics
  • Applied statistics in sociology
  • Image processing
  • Artificial intelligence and machine learning
Seminars:
  • Probability theory and statistics
  • Applied statistics in sociology
  • Mathematical analysis
  • The theory of stochastic processes
  • Artificial intelligence and machine learning

Education

MOSCOW AVIATION INSTITUTE (Applied Mathematics)

Specialist (Mathematician-engineer)

2000-2006
MOSCOW AVIATION INSTITUTE

PhD in System analysis, control and information processing

2006-2009

HOBBIES & INTEREST

Web programming
Photography
TRAVELLING
Playing piano
Football

Papers

KEY PAPERS
  1. Boris V. Vishnyakov and Andrey I. Kibzun A Two-Step Capital Variation Model: Optimization by Different Statistical Criteria Automation and Remote Control 66(7):1137-1152, 2005. [Scopus, WoS]
  2. Boris V. Vishnyakov and Andrey I. Kibzun Deterministic equivalents for stochastic programming problems with probabilistic criteria Avtomatica i Telemekhanika (6):126-143, 2006. In Russian.
  3. Boris V. Vishnyakov and Andrey I. Kibzun Application of the bootstrap method for estimation of the quantile function Automation and Remote Control 68(11):1931-1944, 2007. [Scopus, WoS]
  4. Boris V. Vishnyakov, Yuri V. Vizilter, Vladimir A. Knyaz Spectrum-based object detection and tracking technique for digital video surveillance Melbourne, Australia. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (XXXIX-B3):579-583, 2012. [Scopus]
  5. Boris V. Vishnyakov, Anton I. Egorov Construction of confidence regions for motion trajectories of objects in computer vision problems Journal of computer and systems sciences international 52(3):124-132, 2013. [Scopus, WoS]
  6. Boris V. Vishnyakov, Ivan K. Malin, Yuri V. Vizilter, Shih-Chia Huang, Sy-Yen Kuo Fast car/human classification methods in the computer vision tasks Munich, Germany. Proceedings of SPIE Optical Metrology, (8791):87911L-1 – 87911L-10, 2013. [Scopus, WoS]
  7. Boris V. Vishnyakov, Yi-Jui Cheng, Bo-Hao Chen, Shih-Chia Huang, Sy-Yen Kuo, A. Kopylov, O. Seredin, L. Mestetskiy, Y. Vizilter, O. Vygolov, Chia-Ruei Lian, Chi-Ting Wu Visibility Enhancement of Single Hazy Images Using Hybrid Dark Channel Prior In proceeding of: IEEE International Conference on Systems, Man, and Cybernetics (SMC): 3627-3632, 2013. [Scopus, WoS]
  8. Boris V. Vishnyakov, Fan-Chieh Cheng, Bo-Hao Chen, Shih-Chia Huang, S-Y Kuo, A. Kopylov, Y. Vizilter, L. Mestetskiy, O. Seredin, O. Vygolov An automatic motion detection algorithm for transport monitoring systems In proceeding of: IEEE 17th International Symposium on Consumer Electronics (ISCE): 195-196, 2013. [Scopus, WoS]
  9. Boris V. Vishnyakov, Anton I. Egorov, Sergey V. Sidyakin, Ivan K. Malin, Yuri V. Vizilter Statistical model for pseudo-moving objects recognition in video surveillance systems Zurich, Switzerland. In proceedings of Photogrammetric Computer Vision - PCV 2014 (ISPRS Technical Commission III Midterm Symposium), 2014. [Scopus]
  10. Boris V. Vishnyakov, Vladimir V. Gorbatsevich, Anton I. Egorov, Sergey V. Sidyakin, Ivan K. Malin, Yuri V. Vizilter Fast moving objects detection using iLBP background model Zurich, Switzerland. In proceedings of Photogrammetric Computer Vision - PCV 2014 (ISPRS Technical Commission III Midterm Symposium), 2014. [Scopus]
  11. Boris V. Vishnyakov, Sergey V. Sidyakin, Yuri V. Vizilter Diffusion background model for moving objects detection Moscow, Russia. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives), 2015, doi: 10.5194/isprsarchives-XL-5-W6-65-2015. [Scopus, WoS]
  12. Boris V. Vishnyakov, Vladimir S. Gorbatsevich, Sergey V. Sidyakin Fast interframe transformation with local binary patterns Munich, Germany. Automated Visual Inspection and Machine Vision, Proceedings of SPIE Optical Metrology: (9530), 2015, doi:10.1117/12.2184465. [Scopus, WoS]
  13. Boris V. Vishnyakov, Yuri V. Vizilter, Vladimir V. Knyaz, Oleg V. Vygolov, Sergey Y. Zheltov Stereo sequences analysis for dynamic scene understanding in a driver assistance system Munich, Germany. Automated Visual Inspection and Machine Vision, Proceedings of SPIE Optical Metrology: (9530), 2015, doi:10.1117/12.2184849 [Scopus, WoS]
  14. Sergey V. Sidyakin, Boris V. Vishnyakov, Yuri V. Vizilter, and Nikolay I. Roslov Mutual comparative filtering for change detection in videos with unstable illumination conditions // Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 535-541, 2016, doi:10.5194/isprs-archives-XLI-B3-535-2016. [Scopus, WoS]
  15. V. V. Molchanov, B. V. Vishnyakov, Y. V. Vizilter, O. V. Vishnyakova, V. A. Knyaz Pedestrian detection in video surveillance using fully convolutional YOLO neural network // Proc. SPIE 10334, Automated Visual Inspection and Machine Vision II, 103340Q, 2017, doi: 10.1117/12.2270326. [Scopus, WoS]
  16. S. V. Sidyakin, B. V. Vishnyakov Real-time detection of abandoned bags using CNN // Proc. SPIE 10334, Automated Visual Inspection and Machine Vision II, 103340J, 2017, doi: 10.1117/12.2270078. [Scopus, WoS]
  17. Aglyamutdinova, D.B., Mazgutov, R.R., Vishnyakov, B.V. Object localization for subsequent UAV tracking // International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2018, doi: 10.5194/isprs-archives-XLII-2-9-2018 [Scopus, WoS]
  18. Molchanov, V.V., Vishnyakov, B.V., Gorbatsevich, V.S., Vizilter, Y.V. Etalon images: Understanding the convolution neural networks // International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2018, doi: 10.5194/isprs-archives-XLII-2-707-2018 [Scopus, WoS]
  19. Moiseenko, A., Vizilter, Y., Vishnyakov, B., Gorbatsevich, V., Vygolov, O. Region proposal-based semantic matcher // Proceedings of SPIE - The International Society for Optical Engineering, 2019, doi: 10.1117/12.2525233 [Scopus, WoS]
  20. Brianskiy, S., Vishnyakov, B., Gorbatsevich, V., Vizilter, Y. Image filtering using morphological thickness map // Proceedings of SPIE - The International Society for Optical Engineering, 2019, doi: 10.1117/12.2525362 [Scopus, WoS]
  21. B. Vishnyakov, Y. Blokhinov, I. Sgibnev, V. Sheverdin, A. Sorokin, A. Nikanorov, P. Masalov, K. Kazakhmedov, S. Brianskiy, Е. Andrienko, and Y. Vizilter SEMANTIC SCENE UNDERSTANDING FOR THE AUTONOMOUS PLATFORM Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 637–644, 2020, doi: 10.5194/isprs-archives-XLIII-B2-2020-637-2020 [Scopus, WoS]
  22. I. Sgibnev, A. Sorokin, B. Vishnyakov, and Y. Vizilter DEEP SEMANTIC SEGMENTATION FOR THE OFF-ROAD AUTONOMOUS DRIVING // Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 617–622, 2020, doi.org: 10.5194/isprs-archives-XLIII-B2-2020-617-2020 [Scopus, WoS]
  23. B. Vishnyakov and V. Sheverdin REAL-TIME SLAM FOR THE OFF-ROAD AUTONOMOUS DRIVING // Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 631–635, 2020, doi: 10.5194/isprs-archives-XLIII-B2-2020-631-2020 [Scopus, WoS]
  24. B. Vishnyakov, I. Sgibnev , V. Sheverdin, A. Sorokin, P. Masalov, K. Kazakhmedov, S.Arseev REAL-TIME SEMANTIC SLAM WITH DCNN-BASED FEATURE POINT DETECTION, MATCHING AND DENSE POINT CLOUD AGGREGATION // Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 399–404, 2021, doi: 10.5194/isprs-archives-XLIII-B2-2021-399-2021 [Scopus, WoS]
  25. Y.B. Blokhinov, E.E. Andrienko, K.K. Kazakhmedov, B.V. Vishnyakov Automatic calibration of multiple cameras and LIDARs for autonomous vehicles // Computer Optics 2021; 45(3): 382-393. doi: 10.18287/2412-6179-CO-812 [Scopus, WoS]
  26. B. Vishnyakov, Ivan Sgibnev, Aristarkh Smirnov, Viktor Bokov, Nikita Gordeev Combined approach for face detection and head pose estimation using DCNN // XXIV ISPRS Congress, Nice, 2022. To be published. [Scopus, WoS]
OTHER PAPERS
  1. Boris V. Vishnyakov, Yuri V. Vizilter, Alexey V. Lagutenkov Using a modified method of optical flow in the problem of detection and tracking of moving objects Journal of Computer and Information Technology (5):3-8, 2007. In Russian.
  2. Boris V. Vishnyakov and Yuri V. Vizilter Investigation of the AR filters behavior in the problem of motion detection and analysis on video sequences Journal of Computer and Information Technology (8):2-8, 2008. In Russian.
  3. Boris V. Vishnyakov, Sergey I. Panarin, Andrey I. Kibzun The framework for distance learning courses in applied mathematics Journal of Computer and Information Technology (10):43-48, 2008. In Russian.
  4. Boris V. Vishnyakov Optimization of two-step capital change model Design, construction and production of aircrafts. Proceedings of Moscow Aviation Institute: 140-145, 2005. In Russian.
  5. Boris V. Vishnyakov and Andrey I. Kibzun Quantile optimization of bilinear function Saint Petersburg, Russia. Modeling and analysis of safety and risk in complex systems. Proceedings of the conference: 74-79 (2004).
  6. Boris V. Vishnyakov and Andrey I. Kibzun Measures of risk in the two-step capital change model Saint Petersburg, Russia. Modeling and analysis of safety and risk in complex systems. Proceedings of the conference: 93-98, 2005. In Russian.
  7. Boris V. Vishnyakov and Andrey I. Kibzun Optimization of two-step capital change model Ryazan, Russia. New information technologies in research and education. Proceedings of the conference: 137-138, 2005. In Russian.
  8. Boris V. Vishnyakov and Andrey I. Kibzun Deterministic equivalents for stochastic optimization problems Eupatoria, Crimea. System analysis, management and navigation. Proceedings of the conference: 175, 2006. In Russian.
  9. Boris V. Vishnyakov and Andrey I. Kibzun Application of bootstrap method for accuracy estimation of the moving object trajectory and size Eupatoria, Crimea. System analysis, management and navigation. Proceedings of the conference: 132-133, 2007. In Russian.
  10. Boris V. Vishnyakov and Andrey I. Kibzun Application of non-smoothed and smoothed bootstrap for estimating quantile Eupatoria, Crimea. System analysis, management and navigation. Proceedings of the conference: 257-259, 2008. In Russian.
  11. Boris V. Vishnyakov The asymptotic properties of the bootstrap estimates of quantile Eupatoria, Crimea. System analysis, management and navigation. Proceedings of the conference: 141-142, 2009. In Russian.
  12. Boris V. Vishnyakov Mathematical modeling in conditions of uncertainty Astrahan, Russia. Geometry. Management. Economy. Proceedings of the conference: 10, 2011. In Russian.
  13. Boris V. Vishnyakov, Yuri V. Vizilter, Oleg V. Vygolov Building of pseudospectra for moving objects detection and tracking in video surveillance systems Petrozavodsk, Russia. Mathematical methods for pattern recognition. Proceedings of the conference: 463-466, 2011. In Russian.
  14. Boris V. Vishnyakov, Alexey Y. Rubis, Yuri V. Vizilter, Sergey V. Sidyakin, Vladimir S. Gorbatsevich, Mikhail V. Ososkov, Oleg V. Vygolov Morphological form comparison of point patterns and contour images based on Hough transform and its modifications Journal of Computer and Information Technology (7):9-16, 2011. In Russian.
  15. Boris V. Vishnyakov, Sergey V. Sidyakin, Yuri V. Vizilter, Alexey Y. Rubis, Vladimir S. Gorbatsevich, Mikhail V. Ososkov, Oleg V. Vygolov Regularization of a binary representations of boundary-skeletal form using dynamic programming Journal of Computer and Information Technology (9):9-16, 2011. In Russian.
  16. Boris V. Vishnyakov, Anton I. Egorov Determination of pseudomovement in video surveillance tasks Budva, Montenegro. Intellectualization of information processing. Proceedings of the conference: 374-378, 2012. In Russian.
  17. Boris V. Vishnyakov, Ivan K. Malin Determination of a moving object type in video surveillance tasks Budva, Montenegro. Intellectualization of information processing. Proceedings of the conference: 378-382, 2012. In Russian.
  18. Boris V. Vishnyakov, Anton I. Egorov, Ivan K. Malin The statistical model of outlier object detection in video surveillance systems Journal of Computer and Information Technology (7):42-46, 2013. In Russian.
  19. Boris V. Vishnyakov, Ivan K. Malin Methods of fast car/human classification in machine vision tasks Journal of Computer and Information Technology (8):28-35, 2013. In Russian.
  20. Boris V. Vishnyakov, Vladimir V. Gorbatsevich Fast algorithm for image stabilization in case of a linear moving or shaking camera Technical Vision in Computer Systems. Proceedings of the conference, 2013. In Russian.
  21. Boris V. Vishnyakov, Ivan K. Malin Car/human object classification in machine vision tasks Technical Vision in Computer Systems. Proceedings of the conference, 2013. In Russian.
  22. Boris V. Vishnyakov, Anton I. Egorov The method of automatic human figure segmentation on the image Kazan, Russia. Mathematical methods for pattern recognition. Proceedings of the conference: 58, 2013. In Russian.
  23. Boris V. Vishnyakov, Anton I. Egorov, Ivan K. Malin Model static background using LBP and LTP descriptors Kazan, Russia. Mathematical methods for pattern recognition. Proceedings of the conference: 59, 2013. In Russian.

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  • mail: mail@ellectu.net
  • Website: me.ellectu.net
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