Voronezh State University / Research / Laboratories (Faculty of Computer Sciences)

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Research

Laboratory of Physics

Research area

Mathematical modelling, machine learning, computer vision

Laboratory equipment

Challenges

Modelling of physical processes
Image processing and analysis by machine learning methods
Using images to build 3D models of objects
The laboratory is used to conduct classes within the physics practical course for students completing the programmes "Mathematics and Computer Sciences” and “Software Engineering”, as well as during physics practice course for students from Basov gymnasium as part of pre-university training.

Laboratory of Network Technologies

Industrial partners

Research area

IT systems administration, development of network equipment (UTM/FPGA)

Laboratory equipment

Available research methods

Real time network traffic capture and analysis

Challenges

Development of UTM network equipment
Administration of IT resources of the Faculty of Computer Sciences/Voronezh State University

Centre for the Development of Artificial Intelligence Technologies

Industrial partners

Research area

Development of methods and technologies of machine learning and applied artificial intelligence
The centre conducts research using its equipment, both independently and jointly with other divisions of the university and interested organisations. It also conducts postgraduate degree programmes training specialists in the sphere of applied artificial intelligence and machine learning

Laboratory equipment

Available research methods

Methods and technologies of information processing, data analysis, and machine learning

Challenges

Conducting applied and basic research employing the laboratory’s equipment, as well as scientific and intellectual resources of VSU and other interested organisations
Development and experimental study of new methods and algorithms of information processing, as well as enhancement of existing methods and algorithms in the sphere of data analysis, machine learning, and applied artificial intelligence
Software development for pilot research and the creation of prototypes of software systems within the specific area
Development and introduction of software for the analysis of experimental data provided by interested organisations
Providing research facilities required for the implementation of new education programmes, and attracting large numbers of students and postgraduates to studying modern research methods in the area of artificial intelligence and machine learning

Major projects

Project “Neural Network – University” “Developing the technologies for automated creation, training, and performance of artificial neural networks to be used in decision support systems for officers of technical and organizational systems”, 2018–2019
State Task by the Ministry of Education and Science of the Russian Federation, project No. 8.3844.2017/PCh “Development of methods for express analysis and sorting of elements of grain mixture with pathologies, based on the combination of spectrum analysis and machine learning methods”, 2017–2019
A series of R&D projects “Development of integrated information technologies and multifunctional software systems for analysis of topical images (processing, enhancement, super-resolution effect, and image recognition)”, 2011–2018
Projects of the Foundation for Assistance to Small Innovative Enterprises in Science and Technology No. 13581 and No. 115020430017 2011-2017, and grant of the Russian Foundation for Basic Research, project No. 13-01-97507 r.centre “Development of multifunctional software for implementation of new technologies for creating digital watermarks in order to monitor the use and distribution of multi-format web content, as well as electronic and paper documents”

Laboratory of Medical Cybernetics

Research area

Health IT, human-computer interfaces

Laboratory equipment

Challenges

Development of new human-computer interfaces and health ITs for diagnostics, rehabilitation, and operator training for technical systems

Major projects

Grants of the Russian Foundation for Basic Research

Available research methods