Boris Vishnyakov RU

Boris Vishnyakov

I run technical audits and AI transformation for company departments, including R&D and product development. I turn photos, video, voice and text into measurable data and management decisions.

  • Founder and CTO of CVS (Computer Vision Software)
  • Head of the Artificial Intelligence and Data Analysis division, GosNIIAS
  • PhD in physics and mathematics, MBA, associate professor at the Moscow Aviation Institute

Message on Telegram mail@ellectu.net Download CV, PDF (Russian)

Portrait of Boris Vishnyakov

How I can help

I connect science, engineering and business: I take an algorithm to a working product, the product to a sale, and the sale to a repeat order.

  • AI transformation

    Process and data diagnostics, a map of AI opportunities ranked by impact, the move from AI-enabled to AI-first: people set the intent and acceptance criteria, agents do the execution. Rolling out AI agents and Claude (Chat, Cowork, Code, Design), training teams and managers.

  • Technical audit of R&D and product

    Architecture, stack and development processes, feasibility of tasks, proposals and solution economics. The result is a roadmap you can actually execute.

  • AI solutions for your task

    Through CVS: video analytics, biometrics, drone imagery, speech analytics, AI assistants. We start with the business case, run a free pilot on your data, and put accuracy and response time into the contract.

Examples

  • ROST agricultural holding: 108 requests from different services reduced to 8 classes of algorithms and a staged rollout plan.
  • Lukoil: audit and feasibility assessment of video and speech analytics for filling stations.
  • GosNIIAS research complex: an AI transformation programme built on Claude.

Now

Founder and CTO

CVS (Computer Vision Software), cvsoft.tech

2019 — present

  • Russian developer of AI systems for video and speech analytics and AI agents. Products are listed in the Russian software register.
  • 40+ industrial deployments, 25,000+ connected recognition channels; 80% of key customers come back for new solutions.
  • Monitoring of 1.2M+ waste container sites across Russia for the Russian Environmental Operator; near-real-time transcription of 12,000+ audio channels for Fix Price.
  • Up Great technology contests: 1st of 180 teams in Autonomous Search (2024) and 2nd of 240 in Emergency Search (2023) — onboard detection of people in drone imagery.

CVS products

AIVA
server-side video analytics for plants, retail, pickup points and restaurants
VION
finding violations in photos and video from mobile devices and drones
NOVA
on-device analytics for cameras and terminals, food recognition
Forge AI
configurable AI assistant: RAG, documents, speech analytics
FRS
non-cooperative face recognition integrated with access control
NPS
neural processing server for drone imagery

Head of the Artificial Intelligence and Data Analysis division

GosNIIAS (State Research Institute of Aviation Systems)

2022 — present

  • 100+ staff in 6 directions: machine learning, applied neural networks, distributed systems, AutoML, reinforcement learning, LLMs and AI agents. 25–26 projects a year.
  • A domestic neural network training platform for the Ministry of Industry and Trade: Platform-GNS → Automat-GNS → Fundament-GNS. Certified source code, support for Russian hardware, 300+ registered results over 9 years.
  • Scientific and technical lead of Advanced Research Foundation projects: Marker (vision for an autonomous robot), Paradigma (AutoML), Taktik (reinforcement learning).
  • A virtual co-pilot: pilot gaze and fatigue tracking, a crew voice assistant with 200+ commands at 95% accuracy; onboard predictive diagnostics for aircraft.
  • Author of a course for managers: leadership, teams, company life cycle, CJM, P&L.

Head of biometrics and video analytics

Center for AI Technologies, Zhukovsky Institute

2020 — present

  • Cross-platform biometric core and the Biometric Access Control client-server system; commercialisation of research.

Associate professor

Moscow Aviation Institute

2009–2014, 2021 — present

  • Probability and statistics, image processing, artificial intelligence and machine learning, applied statistics.

Expertise

Video analytics and biometrics
face recognition at checkpoints and in crowds, anti-spoofing, PPE control, behaviour analytics, retail theft, marketing metrics
Drone and aerial imagery
power lines and towers, pipelines, cadastre, landfills, invasive plants, forest inventory, search for people, roads
Speech, LLMs and AI agents
speech-to-text analytics, RAG assistants, document generation and review, requirements analysis
Robotics and autonomy
neural SLAM, stereo depth, camera and lidar segmentation, traversability maps, ROS2
AutoML and reinforcement learning
architecture search, pruning and quantisation, RL for adversarial games and control
Onboard and trusted AI
optimisation for CUDA, TensorRT, OpenVINO, ARM and Russian hardware; platforms with certified source code

Technologies

PyTorch, CNNs and transformers, Conformer, BERT, LLMs, RAG, MCP · C++17, Python, C#/.NET, React, Qt, OpenGL · CUDA, TensorRT, OpenVINO, MNN · Docker, Kubernetes, Slurm, Ansible, ROS2 · Agile, Azure DevOps, GitLab, P&L, CustDev, CJM

Portrait of Boris Vishnyakov

Selected deployments

  • Retail and food service

    M.Video: face-based theft prevention, 3,000+ channels. Fix Price: checkout speech analytics, 12,000+ channels. Pilots at Detsky Mir and Magnit. KFC Restaurant of the Future: order pickup by face. iFCM: food recognition by camera and voice.

  • Industry and agriculture

    Sibur: face-based access at 20+ sites since 2018 and railcar inspection. ROST: biometrics and sanitary control in greenhouses and warehouses. Nornickel: biometric turnstiles.

  • Energy, oil and gas, transport

    Gazprom Neft: Digital Vision, intelligent diagnostics of power lines. Inline Group: power line defects from drone imagery. Utair: real-time pipeline defect detection on board a helicopter. Russian Railways: track defects (in progress).

  • Environment and city

    Russian Environmental Operator: monitoring of 1.2M+ container sites and landfills. Moscow housing services: cleanliness, roads and kerbs. MIRD: forest inventory. Rosstroykontrol: construction monitoring by drone.

  • Security and mass events

    CSKA Arena, Cathedral of Christ the Saviour: face recognition in crowds. MTS: time tracking. Rosatom, Parsec, Medsi: face access with masks and temperature control.

  • Public sector, science, medicine

    Rostelecom: biometric core for the Unified Biometric System. Genoanalytica: diagnosis of Angelman and Rett syndromes from photos and video. NTI Foundation: search for people in drone imagery.

Career

  1. 2022 —Head of the AI and Data Analysis division, GosNIIAS
  2. 2021–2022Deputy head of division for software systems, GosNIIAS
  3. 2020 —Head of biometrics and video analytics, Center for AI Technologies, Zhukovsky Institute
  4. 2019 —Founder and CTO, CVS
  5. 2012–2021Head of laboratory, GosNIIAS
  6. 2010–2012Head of group, GosNIIAS
  7. 2009–2010Lead engineer, GosNIIAS
  8. 2009PhD defence, Moscow Aviation Institute
  9. 2006–2009PhD student at MAI, engineer at GosNIIAS
  10. 2005–2006Technician, GosNIIAS
  11. 2000–2006Moscow Aviation Institute, Applied Mathematics, honours degree

Education

Moscow Aviation Institute: mathematician-engineer in Applied Mathematics with honours (2006); postgraduate study and PhD in physics and mathematics (2009). MBA.

Awards

Medal “100 Years of Russian Civil Aviation” · commendation from the Mayor of Moscow for contribution to industry (2017) · winner of the 2015 Advanced Research Foundation contest for the best Russian face recognition technology (as part of the team) · Presidential scholarship.

Science

PhD in physics and mathematics (Moscow Aviation Institute, 2009). Thesis on deterministic equivalent and bootstrap methods for stochastic programming with probability and quantile criteria.

100+ scientific papers, publications indexed in Scopus and WoS: ISPRS, SPIE, IEEE, Automation and Remote Control, Computer Optics. Topics: neural SLAM, semantic segmentation for autonomous driving, camera and lidar calibration, face and pedestrian detection, AutoML, LLM agents.

Principal investigator of Russian Foundation for Basic Research grants 12-07-00789 (intelligent video analytics), 15-07-09362 (detection and identification of people and vehicles), 19-07-01248 (semantic dynamic scene model for autonomous driving); RFBR expert.

Google Scholar eLibrary 242 citations, h-index 10

Key papers

  1. 2022

    Combined approach for face detection and head pose estimation using DCNN

    B.V. Vishnyakov, I. Sgibnev, A. Smirnov, V. Bokov, N. Gordeev

    XXIV ISPRS Congress, Nice Scopus, WoS

  2. 2021

    Real-time semantic SLAM with DCNN-based feature point detection, matching and dense point cloud aggregation

    B. Vishnyakov, I. Sgibnev, V. Sheverdin, A. Sorokin, P. Masalov, K. Kazakhmedov, S. Arseev

    Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 399–404 Scopus, WoS

  3. 2021

    Automatic calibration of multiple cameras and LIDARs for autonomous vehicles

    Y.B. Blokhinov, E.E. Andrienko, K.K. Kazakhmedov, B.V. Vishnyakov

    Computer Optics 45(3): 382–393 Scopus, WoS

  4. 2020

    Semantic scene understanding for the autonomous platform

    B. Vishnyakov, Y. Blokhinov, I. Sgibnev, V. Sheverdin, A. Sorokin, A. Nikanorov, P. Masalov, K. Kazakhmedov, S. Brianskiy, E. Andrienko, Y. Vizilter

    Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 637–644 Scopus, WoS

  5. 2020

    Deep semantic segmentation for the off-road autonomous driving

    I. Sgibnev, A. Sorokin, B. Vishnyakov, Y. Vizilter

    Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 617–622 Scopus, WoS

  6. 2020

    Real-time SLAM for the off-road autonomous driving

    B. Vishnyakov, V. Sheverdin

    Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 631–635 Scopus, WoS

  7. 2019

    Region proposal-based semantic matcher

    A. Moiseenko, Y. Vizilter, B. Vishnyakov, V. Gorbatsevich, O. Vygolov

    Proc. SPIE Scopus, WoS

  8. 2019

    Image filtering using morphological thickness map

    S. Brianskiy, B. Vishnyakov, V. Gorbatsevich, Y. Vizilter

    Proc. SPIE Scopus, WoS

  9. 2018

    Object localization for subsequent UAV tracking

    D.B. Aglyamutdinova, R.R. Mazgutov, B.V. Vishnyakov

    ISPRS Archives XLII-2 Scopus, WoS

  10. 2018

    Etalon images: understanding the convolution neural networks

    V.V. Molchanov, B.V. Vishnyakov, V.S. Gorbatsevich, Y.V. Vizilter

    ISPRS Archives XLII-2 Scopus, WoS

  11. 2017

    Pedestrian detection in video surveillance using fully convolutional YOLO neural network

    V.V. Molchanov, B.V. Vishnyakov, Y.V. Vizilter, O.V. Vishnyakova, V.A. Knyaz

    Proc. SPIE 10334, Automated Visual Inspection and Machine Vision II, 103340Q Scopus, WoS

  12. 2017

    Real-time detection of abandoned bags using CNN

    S.V. Sidyakin, B.V. Vishnyakov

    Proc. SPIE 10334, Automated Visual Inspection and Machine Vision II, 103340J Scopus, WoS

  13. 2016

    Mutual comparative filtering for change detection in videos with unstable illumination conditions

    S.V. Sidyakin, B.V. Vishnyakov, Y.V. Vizilter, N.I. Roslov

    Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 535–541 Scopus, WoS

  14. 2015

    Diffusion background model for moving objects detection

    B.V. Vishnyakov, S.V. Sidyakin, Y.V. Vizilter

    ISPRS Archives XL-5/W6, Moscow Scopus, WoS

  15. 2015

    Fast interframe transformation with local binary patterns

    B.V. Vishnyakov, V.S. Gorbatsevich, S.V. Sidyakin

    Proc. SPIE 9530, Automated Visual Inspection and Machine Vision, Munich Scopus, WoS

  16. 2015

    Stereo sequences analysis for dynamic scene understanding in a driver assistance system

    B.V. Vishnyakov, Y.V. Vizilter, V.V. Knyaz, O.V. Vygolov, S.Y. Zheltov

    Proc. SPIE 9530, Automated Visual Inspection and Machine Vision, Munich Scopus, WoS

  17. 2014

    Statistical model for pseudo-moving objects recognition in video surveillance systems

    B.V. Vishnyakov, A.I. Egorov, S.V. Sidyakin, I.K. Malin, Y.V. Vizilter

    Photogrammetric Computer Vision PCV 2014, ISPRS Commission III Symposium, Zurich Scopus

  18. 2014

    Fast moving objects detection using iLBP background model

    B.V. Vishnyakov, V.V. Gorbatsevich, A.I. Egorov, S.V. Sidyakin, I.K. Malin, Y.V. Vizilter

    Photogrammetric Computer Vision PCV 2014, ISPRS Commission III Symposium, Zurich Scopus

  19. 2013

    Construction of confidence regions for motion trajectories of objects in computer vision problems

    B.V. Vishnyakov, A.I. Egorov

    Journal of Computer and Systems Sciences International 52(3): 124–132 Scopus, WoS

  20. 2013

    Fast car/human classification methods in the computer vision tasks

    B.V. Vishnyakov, I.K. Malin, Y.V. Vizilter, S.-C. Huang, S.-Y. Kuo

    Proc. SPIE Optical Metrology 8791, Munich Scopus, WoS

  21. 2013

    Visibility enhancement of single hazy images using hybrid dark channel prior

    B.V. Vishnyakov, Y.-J. Cheng, B.-H. Chen, S.-C. Huang, S.-Y. Kuo et al.

    IEEE International Conference on Systems, Man, and Cybernetics (SMC): 3627–3632 Scopus, WoS

  22. 2013

    An automatic motion detection algorithm for transport monitoring systems

    B.V. Vishnyakov, F.-C. Cheng, B.-H. Chen, S.-C. Huang, S.-Y. Kuo et al.

    IEEE 17th International Symposium on Consumer Electronics (ISCE): 195–196 Scopus, WoS

  23. 2012

    Spectrum-based object detection and tracking technique for digital video surveillance

    B.V. Vishnyakov, Y.V. Vizilter, V.A. Knyaz

    ISPRS Archives XXXIX-B3: 579–583, Melbourne Scopus

  24. 2007

    Application of the bootstrap method for estimation of the quantile function

    B.V. Vishnyakov, A.I. Kibzun

    Automation and Remote Control 68(11): 1931–1944 Scopus, WoS

  25. 2006

    Deterministic equivalents for stochastic programming problems with probabilistic criteria

    B.V. Vishnyakov, A.I. Kibzun

    Avtomatika i Telemekhanika (6): 126–143

  26. 2005

    A two-step capital variation model: optimization by different statistical criteria

    B.V. Vishnyakov, A.I. Kibzun

    Automation and Remote Control 66(7): 1137–1152 Scopus, WoS

Show 23 more papers from 2004–2013

Other papers and proceedings (in Russian)

  1. 2013

    The statistical model of outlier object detection in video surveillance systems

    B.V. Vishnyakov, A.I. Egorov, I.K. Malin

    Journal of Computer and Information Technology (7): 42–46

  2. 2013

    Methods of fast car/human classification in machine vision tasks

    B.V. Vishnyakov, I.K. Malin

    Journal of Computer and Information Technology (8): 28–35

  3. 2013

    Fast algorithm for image stabilization in case of a linear moving or shaking camera

    B.V. Vishnyakov, V.V. Gorbatsevich

    Technical Vision in Computer Systems

  4. 2013

    Car/human object classification in machine vision tasks

    B.V. Vishnyakov, I.K. Malin

    Technical Vision in Computer Systems

  5. 2013

    The method of automatic human figure segmentation on the image

    B.V. Vishnyakov, A.I. Egorov

    Mathematical Methods for Pattern Recognition, Kazan: 58

  6. 2013

    Model static background using LBP and LTP descriptors

    B.V. Vishnyakov, A.I. Egorov, I.K. Malin

    Mathematical Methods for Pattern Recognition, Kazan: 59

  7. 2012

    Determination of pseudomovement in video surveillance tasks

    B.V. Vishnyakov, A.I. Egorov

    Intellectualization of Information Processing, Budva: 374–378

  8. 2012

    Determination of a moving object type in video surveillance tasks

    B.V. Vishnyakov, I.K. Malin

    Intellectualization of Information Processing, Budva: 378–382

  9. 2011

    Building of pseudospectra for moving objects detection and tracking in video surveillance systems

    B.V. Vishnyakov, Y.V. Vizilter, O.V. Vygolov

    Mathematical Methods for Pattern Recognition, Petrozavodsk: 463–466

  10. 2011

    Morphological form comparison of point patterns and contour images based on Hough transform and its modifications

    B.V. Vishnyakov, A.Y. Rubis, Y.V. Vizilter, S.V. Sidyakin, V.S. Gorbatsevich, M.V. Ososkov, O.V. Vygolov

    Journal of Computer and Information Technology (7): 9–16

  11. 2011

    Regularization of a binary representations of boundary-skeletal form using dynamic programming

    B.V. Vishnyakov, S.V. Sidyakin, Y.V. Vizilter, A.Y. Rubis, V.S. Gorbatsevich, M.V. Ososkov, O.V. Vygolov

    Journal of Computer and Information Technology (9): 9–16

  12. 2011

    Mathematical modeling in conditions of uncertainty

    B.V. Vishnyakov

    Geometry. Management. Economy, Astrakhan: 10

  13. 2009

    The asymptotic properties of the bootstrap estimates of quantile

    B.V. Vishnyakov

    System Analysis, Management and Navigation, Eupatoria: 141–142

  14. 2008

    Investigation of the AR filters behavior in the problem of motion detection and analysis on video sequences

    B.V. Vishnyakov, Y.V. Vizilter

    Journal of Computer and Information Technology (8): 2–8

  15. 2008

    The framework for distance learning courses in applied mathematics

    B.V. Vishnyakov, S.I. Panarin, A.I. Kibzun

    Journal of Computer and Information Technology (10): 43–48

  16. 2008

    Application of non-smoothed and smoothed bootstrap for estimating quantile

    B.V. Vishnyakov, A.I. Kibzun

    System Analysis, Management and Navigation, Eupatoria: 257–259

  17. 2007

    Using a modified method of optical flow in the problem of detection and tracking of moving objects

    B.V. Vishnyakov, Y.V. Vizilter, A.V. Lagutenkov

    Journal of Computer and Information Technology (5): 3–8

  18. 2007

    Application of bootstrap method for accuracy estimation of the moving object trajectory and size

    B.V. Vishnyakov, A.I. Kibzun

    System Analysis, Management and Navigation, Eupatoria: 132–133

  19. 2006

    Deterministic equivalents for stochastic optimization problems

    B.V. Vishnyakov, A.I. Kibzun

    System Analysis, Management and Navigation, Eupatoria: 175

  20. 2005

    Optimization of two-step capital change model

    B.V. Vishnyakov

    Proceedings of Moscow Aviation Institute: 140–145

  21. 2005

    Measures of risk in the two-step capital change model

    B.V. Vishnyakov, A.I. Kibzun

    Modeling and Analysis of Safety and Risk in Complex Systems, Saint Petersburg: 93–98

  22. 2005

    Optimization of two-step capital change model

    B.V. Vishnyakov, A.I. Kibzun

    New Information Technologies in Research and Education, Ryazan: 137–138

  23. 2004

    Quantile optimization of bilinear function

    B.V. Vishnyakov, A.I. Kibzun

    Modeling and Analysis of Safety and Risk in Complex Systems, Saint Petersburg: 74–79

Talks

  • Retail digital transformation; Analytics for retail and a digital twin of a store, 2026
  • AI adoption in an agricultural holding, Imperator Forum, 2026
  • AI trends and working business cases, Sber, 2025
  • Global trends in artificial intelligence, Engineers of the Future, 2025
  • PLAT 2023, 2024, 2025: history and development of Platform-GNS
  • Business tasks built on LLMs, 2024–2025
  • OpenTalks.AI 2022: hardware and software for neural network development
  • Army forum, Groteck, ITOPK, AI in 21st-century aviation

Outside work

Travel, tennis, piano, football, cooking and photography. I used to do a lot of web programming and built the first version of this site myself.

Contact

Telegram or email work best. Describe your task in two or three sentences and I will suggest a format: a consultation, an audit or a pilot.

Telegram
@ellectu
Email
mail@ellectu.net
Company
cvsoft.tech
City
Moscow
Languages
Russian, English (C1)