Machine Intelligence Laboratory

We are a young and actively developing team of scientists and developers under the scientific guidance of Russian data analysis leaders. We solve complex problems, create advanced machine learning methods, and conduct research in applications that are new to science. Our tactics are to systematically review business processes in the customer's industry, unpack problems in a particular enterprise, help in the mathematical formulation of problems, connect knowledge about the subject area with the methods of machine intelligence, and achieve qualitatively new results.
Web page: http://machine-intelligence.ru/

The team leads projects in several areas: image recognition (tasks for intelligent image processing of printed documents and extracting information from such objects, as well as general detection and segmentation tasks), text information analysis (all tasks are related to pre-processing of text information and analysis of unstructured or semi-structured data by unsupervised and semi-supervised approaches), and time series analysis (tasks for malfunctions and equipment breakdowns searching based on sensor signals and processing medical ECG, EEG, ECoG signals). Machine Intelligence Laboratory also conducts theoretical research related to the search for optimal structures of neural network models and their automated selection. The Laboratory team includes two doctors of Phys.-math.: Konstantin Vorontsov and Vadim Strizhov, who provide scientific guidance to students and postgraduates of the laboratory.

Konstantin Vorontsov

Head of the research group
Visionary

Education
doctor of Phys.-math. Professor, lecturer at MIPT, MSU, HSE, SHAD Yandex.
Professional experience
Konstantin is an inventor in the field of AI algorithms. Under his leadership, the most complex tools for exploratory search and text processing were created. By actively participating in all the team's projects, he shows the way to solving the problem.

Alexey Goncharov

Head of research teams

Education
post-graduate student of the Moscow Institute of Physics and Technology, specialization "data Mining". Graduate of the Stratoplane school of management. Experience: BCS Group.
Professional experience
Under Alexey's leadership, more than 10 projects have been completed with Russian industry leaders: he leads NLP, Computer Vision, and Time Series Analysis groups; Alexey has grown the research team to 17 people, solves the team's strategic tasks, and is the team's project Manager.

Vadim Strijov

Head of the research group
Visionary

Education
 doctor of Phys.-math. Professor, lecturer at MIPT, MSU, HSE, SHAD Yandex.
Professional experience
Vadim is a visionary in the field of time series processing. Together with the research team, he creates approaches to applied data processing and works on theoretical problems of deep learning.

Ilya Zharikov

Technical leader of the group
Computer Vision & Time Series Analysis
Researcher

Education
post-graduate student of the Moscow Institute of Physics and Technology, specialization "data Mining". Master Of SkolTech. Experience: S7 Airlines.
Professional experience
The Computer Vision group, led by Ilya, created its own OCR technology. Ilya, as the technical leader of the team, developed document management systems, completed image processing projects, and created detection and segmentation technologies.

Yanaeva Victoria

The administrator of the research group
Assistant administrator

Education
master of the Moscow Institute of Physics and Technology.
Professional experience
Victoria participates in each of the projects, where she quickly solves all the tasks of document management. Thanks to Victoria, the team resolves paper issues as quickly as possible. Mil internship organizer.Internship.

Eugene Egorov

Technical leader of the NLP group
Researcher

Education
master of the Moscow Institute of Physics and Technology.
Ph.D. Royal Holloway University of London.
Professional experience
Knowledge of fundamental physics allows Eugene to quickly navigate a new problem. Eugene effectively solves the problems of pre-processing and data analysis.