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

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

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)

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

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

Technician

• Study of state of the art papers on image processing
• Writing papers, participation in conferences
• Studying programming languages

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