Voronov Alexander

Aliaksandr A. Voranaŭ

Senior researcher, candidate of technical sciences, associate professor

E-mail: voronov@lsi.bas-net.by

Work phone: 320-74-02

Scientific interests:

Digital processing of signals and images;
Pattern recognition and neural network data processing technologies;
Architectures and models of high-performance information processing systems.

Current projects:

SSTP "Intelligent information technologies" – "To develop and introduce the software complex for managing the equipment for critical sizes controlling on the basis of machine vision systems (SC MECSC, IIT16/1-03, 2016- 2018 (2020)),

Scientific supervisor – A. Dudkin, responsible executor – A. Voranaŭ

R&D "To develop experimental of the neural network system for monitoring the state and behavior of spacecraft subsystems according to the telemetric data for a ground command and measuring complex" as part of the measure 1.2 of the Union State program "Development of space and ground-based means for providing consumers in Russia and Belarus with information on Earth remote sensing" ("Monitoring-SG").

Developments:

R&D "To develop a software complex for image processing and analysis for technical vision systems in the microelectronic industry" was performed as part of the SSTP "Microelectronics" of the subprogram "Microelectronics of Electronic Components". Algorithms for preparing and improving images of topological layers, algorithms for identifying and classifying topology objects and their structural components, algorithms for constructing a description of the topology of a layer, algorithms for analyzing the topology of a layer and determining its defects.
SSTP "Information Technologies". System for preparing topological information for microphotosetting image generators. During work on the system, the following methods were developed and implemented in software: methods of covering special topological objects with rectangles; the method for dividing a set of simple contours into classes containing intersecting contours; a method for establishing an inclusion relationship between circuits information transformation methods (combining intersecting contours; combining intersecting rectangles; highlighting simply-connected and multi-connected topological objects); method of covering arbitrary multi-connected topological objects with rectangles; method of analyzing the obtained coatings for correctness; method of covering the interior regions of a multiply connected topological object, detected during its correctness analysis.
R&D according to the contract with the BRFFR "Methods and algorithms for planning and organizing sustainable computing for the synthesis of multi-agent systems" (contract No. F08M-097, 2008–2010, No. GR 20082721);
task 5SK/08-222 "To develop the prototype of the software neural network system for monitoring telemetric information, diagnostics of spacecraft subsystems, processing space images (PPS-TMK)", (2008-2011, No. GR 20090259).

Publications:

Machine Learning Approach for Malware Detection Using Executable Files Features Extraction/ Voranau A., Harakhavik Y.// Штучний інтелект. — 2019. — № 3 . — С. 97 – 103

Алгоритмическое обеспечение для оптического контроля критических размеров полупроводниковых пластин СБИС/ А.А. Дудкин, А.А. Воронов, В.В. Ганченко, А.В. Инутин, Е.Е. Марушко // Телекоммуникации: сети и технологии, алгебраическое кодирование и безопасность данных = Telecommunications: Networks and Technologies, Algebraic Coding and Data Security : материалы междунар. науч.-техн. семинара (Республика Беларусь, Минск, ноябрь – декабрь 2019 г.). – Минск : БГУИР, 2019. – с. 34–37

Executable Files Features Extraction for Malware Detection Using Machine Learning/ Voronov A., Harakhavik Y. // PRIP`2019: Pattern Recognition and Information Processing: Proc. of the 14th Intern. Conf., 21–23 May 2019, Minsk, Belarus: Publishing Center of BSUIR, 2019. – С. 360–362

Нейросетевая система мониторинга состояния и поведения подсистем космических аппаратов по телеметрическим данным для наземного командно-измерительного комплекса / А.А. Дудкин, В.В. Ганченко, Е.Е. Марушко, А.В. Инютин, А.А. Воронов, С.А. Золотой, С.Н. Чарин // VII Белорусский космический конгресс : материалы конгресса, Минск, 24–26 октября 2017 : Том 2 / ОИПИ НАН Беларуси. – Минск, 2017. – Т. 2. - С. 193 – 196.

Image stitching algorithm for description of integrated circuit layouts / Avakaw S., Doudkin A., Marushko Ya., Voronov A. // PRIP`2016: Pattern Recognition and Information Processing: Proc. of the 13th Intern. Conf., 3–5 Oct. 2016, Minsk, Belarus: Publishing Center of BSU, 2016. – С. 201–204

Воронов, А.А. Алгоритм уточнения совмещения кадров слоя топологии сверхбольших интегральных схем в полное изображение / А.А. Воронов, Е.Е. Марушко, Д.Ю. Перцев // Доклады БГУИР. – 2015. – № 8 (94). – С. 86–92.

Member of the organizing committees of the international conferences "Pattern recognition and Information Processing" (PRIP'2011) and "Neural Networks and Artificial Intelligence" (ICNNAI'08, ICNNAI'12).