1. Voronezh State University
2. Divisions & Departments
3. Laboratories
4. Laboratories (Faculty of Applied Mathematics, Informatics, and Mechanics)

Laboratories (Faculty of Applied Mathematics, Informatics, and Mechanics)

• Artificial Intelligence Laboratory
• Machine Learning and Data Analysis Laboratory
• Laboratory of Mechatronics and Robotics

Artificial Intelligence Laboratory

Industrial partners

• PAO Sberbank

Research area

• IT
• Machine learning
• Big data

Laboratory equipment

• High-end desktop PCs
• Hardware and software systems

Challenges

• Natural language processing (contact routing and chatbots, detailed monitoring of news, topic modelling, analysis of customer reviews, named entity recognition)
• Designing computer vision systems (analysis of the video stream data, detecting objects in a video, semantic segmentation, quantitative metallography)
• Designing speech recognition and generation systems (providing solutions to identification and diarization problems based on sonogram analysis and voice biometrics)
• Designing recommender systems and decision support systems (collaborative filtering, content-based filtering, recommendations based on the information about the product, and recommendations based on knowledge in a specific area)

Available research methods

Machine learning methods and intellectual data analysis methods, including

• intelligent medical diagnostics methods and algorithms for developing dialogue systems and chatbots
• recommender systems development methods
• natural language processing methods
• computer vision algorithms (including detections and segmentation of objects in a video)
• banking automation methods

Major projects

Strategic laboratory of the research and education centre in the Voronezh Region

Machine Learning and Data Analysis Laboratory

Industrial partners

• NLMK
• Severstal
• Surf
• Sberbank

Research area

Machine learning and artificial intelligence

Available research methods

Machine learning methods and intellectual data analysis methods, including

• intelligent medical diagnostics methods and algorithms for developing dialogue systems and chatbots
• recommender systems development methods
• natural language processing methods
• computer vision algorithms (including detections and segmentation of objects in a video)
• banking automation methods

Challenges

• Advanced training in the following areas: “Machine learning”, “Neural network technologies”, “Artificial intelligence technologies”, “Computer vision”, “Natural language processing”, “Machine learning as the basis of the digital economy”
• Implementing research projects which involve computer vision, natural language processing, developing systems for medical diagnostics, automated analysis of customers reviews, receipt and label recognition, voice-activated chatbots, etc.

Laboratory equipment

• 1615699 Cougar TURRET Tampered Glass ATX Computer Case, black [440787] (without power supply)
• 1583666 Cougar GX 1050 power supply
• GX 1050 power supply (modular, 6 PCIe‑slots, ATX v2.31, 1050W, Active PFC, 140mm Fan, 80 Plus Gold) [GX1050] Retail 1
• 1490154 CPU Intel Core i9–7920X Skylake Extreme Edition Processor OEM {2.90GHz, 16.5МB, Socket 2066}
• 1495048 Cooler Arctic Cooling Freezer 33 TR — RED2066, 2011-v3 (SQUARE ILM), AM4, TR4 RET (ACFRE00038A)
• 1538371 MSI X299 TOMAHAWK RTL motherboard
• Eight 1477524 Kingston DDR4 DIMM 16GB HX426C16FR/16 desktop memory modules{PC4–21300, 2666MHz, CL16}
• 621457 PALIT GeForce RTX2080TI Gaming Pro OC11G RTX2080Ti video card 11264Mb 352b GDDR6 1650/14000/HDM RTL

Major projects

• Automatic classification of customer support tickets
• Development of non-invasive techniques of early diagnostics of atherosclerosis in magistral arteries (for the cardiology health centre of the Voronezh Region Clinical Hospital No. 1)
• Forecasting the risks of recrudescence of cardio-vascular and oncology diseases (for the Voronezh Region Clinical Hospital No. 1 and the Voronezh Region Clinical Oncology Hospital)
• Development of algorithms and models of machine learning for the automated metallographic identification of the size of steel grain (for NLMK)
• Development of algorithms and models for forecasting the effectiveness of crowdfunding projects (for Boomstarter platform)

Laboratory of Mechatronics and Robotics

Industrial partners

• Engineering group INTECHROS

Research area

Designing control systems for small UAV, robot manipulators and similar robotic systems

Laboratory equipment

• Hercules Strong 3D printer
• MakeBlock robotic kits
• Debug modules with 8-bit and 12-bit microcontrollers
• DJI Inspire drone
• Computer vision system PIXY2
• ROIN 200-04 material handling equipment

Available research methods

• Classic methods of the control theory
• Methods based on machine learning algorithms

Challenges

• Implementation of education programmes at the Faculty of Applied Mathematics, Informatics, and Mechanics, namely “Applied Mathematics and Informatics” and “Mechanics and Mathematical Modelling”
• Designing simulators of robotic systems

Major projects

• A simulator of a robotic mobile system for the company INTECHROS
• VSU’s students now have an opportunity to work with the robotic tool ROIN whose functions are identical to those of the robotic tools designed for the atomic, steel, construction, railway industries, etc. The only difference of the laboratory tool from its industrial counterpart is the speed limit set by the developers for safety reasons.
• The robot manipulator arm designed for VSU has 7 degrees of freedom and an infinite 360-degree rotation mechanism on the end joint. The rotation mechanism can be equipped with various grippers and electric tools. Despite being quite small, ROIN has the maximum load capacity of 150 kg.