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Shvets, Olga


Olga Shvets was born in 1975 in Ust-Kamenogorsk (Kazakhstan) and studied Computer sciences and Automation and Control at the East-Kazakhstan State technical University. In 2010 she successfully defended her PhD thesis. She is “The best lecturer of the university 2015".

Since 1998 Ms. Shvets is working for the East-Kazakhstan State technical University.

Scientific areas: ecological monitoring (impact of enterprises and transport), software for environment protection, automation and control devices in ecological sustainability.

From December 2018 until March 2019 she worked on the project SUMRICA and “Manufacture of titanium products for further use in medicine”.



Academic Career
Since 2017
Associate Professor of New Technologies and materials in nuclear industry department (EKSTU)

Since 2012
Associate Professor of Instrument Engineering, Automation and Control sub-department (EKSTU)
Executive director, Kazakhstan Society of engineering education KazSEE
Vice-director of the institute of postgraduate educations and new educational technologies – the head of sector of the international innovative programs (EKSTU)
Executive director, Kazakhstan national monitoring committee IGIP
Senior lecturer of Information System sub-department (EKSTU)
Postgraduate student of Information System sub-department (EKSTU)
Student of Information System sub-department (EKSTU)
Research Projects
Senior researcher in projects:
Since 2018
Since 2017
Manufacture of titanium products for further use in medicine
Development of methods and algorithms for image recognition for assessing the qualitative composition of mineral rocks in the mining industry
Optimization of energy consumption in LED combined lighting installations with automated control: algorithms, software, demonstration mock-up at EXPO 2017
Development of a new automated technology of hydro soldering at typical TPPs and enterprises of the mining industry in Kazakhstan using hydro cyclones with controlled geometry
Research of problems and development of recommendations on adaptation of Kazakhstan's technical education to the requirements of the Bologna Process.

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CAD/CAM Systems in Implant Design in Kazakhstan. International Symposium on Applied Informatics and Related Areas, AIS 2017.
Application of a CPU Streaming Technology to Work of the Computer with Data Coming from the Network on the Example of a Heating Station, Proceeding 18th international conference on micro/nanotechnologies and electron devices EDM 2017, Erlagol, Altai Republic, IEEE Russia Siberia Section, 29 June - 3 July, 2017, рр 128-130 (IEEE) (Co-authors: Rybakova D., Sagynganova I., Kumargazhanova S., Baklanov A.)
Modern technology for automation in industry and our life. Tutorial. ISBN 978-601-7552-82-4, 2017
Constructing a reverse filter based on the combination of the assembly for mineral rock images. 2016 Federated Conference on Computer Science and Information Systems. September 11 –14, 2016. Gda´nsk, Poland. p. 239-242. ISSN 2300-5963, DOI 10.15439/978-83-60810-76-7  (Co-authors: Baklanova O., Baklanov М.)
Training of new staff through international cooperation.  Materials of " XVI International Conference “Modern trends in training technology experts and English language teaching in the context industrial innovative development of the republic of Kazakhstan” 16-17 June, 2016, pp. 371-375 (Co-authors:  Györök G., Markin V.B.).
Multivariate Analysis for Image Recognition System to Assess the Quality of the Mineral Species. Materials of 11-th International Conference «Computer data analysis and modeling 2016. Theoretical and Applied Stochastics”, 6-10 September 2016. (Co-author: Baklanova O.)
Design of Automated Image Recognition System to Assess the Quality of the Mineral Species Using CASE Technology. Materials of International Scientific Conference CITech-2015. Journal Computational Technologies №3 (86), part 1, Almaty-Novosibirsk, 2015, pp.106-117 (Co-author: Baklanova O.)
Development of Methods and Algorithms of Reduction for Image Recognition to Assess the Quality of the Mineral Species in the Mining Industry. Springer, Computer Vision and Graphics Lecture Notes in Computer Science, Germany, Volume 8671, 2014, pp 75-83, link.springer.com/chapter/10.1007%2F978-3-319-11331-9_10 (Thompson Reuters IF: 0,51) (Scopus IF: SJR_2014:0.339) (Co-author: Baklanova O.)
Automation System Development for Micrograph Recognition for Mineral Ore Composition Evaluation in Mining Industry. Springer, Artificial Intelligence Applications and Innovations IFIP Advances in Information and Communication Technology, Rhodes, Greece, Volume 436, 2014, pp 604-613 link.springer.com/chapter/10.1007%2F978-3-662-44654-6_60. (Scopus IF: SJR_2014:0.187) (Co-author: Baklanova O., Uzdebayev Zh.)
Cluster analysis methods for recognition of mineral rocks in the mining industry., Image Processing Theory, Tools and Applications, IPTA 2014, France, pp. 273-278. (Scopus) (Co-author: Baklanova O.)
Methods and Algorithms of Cluster Analysis in the Mining Industry. Solution of Tasks for Mineral Rocks Recognition.The 11th International Conference on Signal Processing and Multimedia Applications (SIGMAP – 2014), Vienna, Austria, 2014, pp. 165-172. (Scopus) (Co-author: Baklanova O.)
The organization of educational process in D. Serikbayev EKSTU with remote technology use. Science and education. June 27-28 2014, Munich, Germany, рр. 287-290 (Co-author: Ishkinina G.)
Quantitave Evaluation of Accuracy of Digital Microscope System for Automated Petrographic Analysis. SIMULTECH-2014, Vienna, Austria, 2014, c.560-566. ISBN: 978-989-758-038-3 (Co-author: Baklanova O., Vyacheslav Kornev)
Simulation of operation of the Center for Environmental monitoring and Emergency Situations. AIS 2013, International Symposium on Applied Informatics and Related Areas, Szekesfehervar, Hungary. (Co-author: Zhumakanov A.)
Information model presentation of the centre for environmental monitoring of extreme situations’ prevention. MIT-2013, X Conference “Computational and Informational Technologies for Science, Engineering and Education”, Vrnjacka Banja, Serbia and Budva, Montenegro, September 5-14, 2013.
Math-computer support of extreme situation revealing in stationary work of the enterprises in Ust-Kamenogorsk city. Bulgaria, Journal of International Research Publications: Ecology & Safety. Published by Science & Education Foundation. ISSN 1313-7999, June 2012.

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Olga Shvets
Tel.: +49 (0)30 314-25068
Room 5.26


Zentrum Technik und Gesellschaft
Sec. KAI 3-2
10553 Berlin
Tel: +49 (0)30 314-23665
Fax: +49 (0)30 314-26917