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Home / Faculty of Computer Science and Technology / Department “System Analysis and Computational Mathematics” / Shyrokorad Dmitry Viktorovich

Shyrokorad Dmitry Viktorovich

Shyrokorad Dmitry Viktorovich

Position

Associate Professor of the Department of System Analysis and Computational Mathematics

Academic degree

candidate of physical and mathematical sciences

Academic title

docent

Education

 higher

2011 “Zaporizhsky National Technical University”, bachelor’s degree in system analysis and management; 2012 Zaporizhia National Technical University, specialist in system analysis and management; 2012 Zaporizhia National Technical University, finance specialist; 2017 “Zaporizhsky National University”, master’s degree in applied mathematics.

Subjects taught

Programming Programming and algorithmization Object-oriented approach in system analysis tasks Methods of Data Mining Machine learning Deep learning in classification and data generation tasks Computational methods of system analysis Natural Language Processing Basics of Rust programming Digital marketing Creation of Web resources Information systems and technologies in marketing

Main languages ​​of communication

Ukrainian (fluent), English (fluent)

Theses:

  • Dissertation for obtaining the scientific degree of Candidate of Physical and Mathematical Sciences in the specialty 01.04.07 - solid state physics. - Institute of Metallophysics named after G. V. Kurdyumova, National Academy of Sciences of Ukraine, Kyiv, 2018.

Scientific interests

  • Molecular dynamics

  • Methods of machine learning

  • programming

Accounts of the scientist:

  • Scientist account (ORCID): 0000-0002-2784-4081

  • Researcher's account (Publons / Web of Science ResearcherID): I-6949-2012

  • Scientist account (Scopus): 25925374600

  • Scholar's account (Google Scholar):https://scholar.google.com/citations?user=6xA5tAsAAAAJ&hl=en

Total scientific works:

  • 46, including articles in publications indexed in the scientometric database Scopus and Web of Science – 31.

Main scientific works (publications):

  • . Shirokorad D. V. Analysis of pulsed fields reflected from a layered lossy medium using artificial neural network / D. V. Shirokorad, A. N. Dumin, O. A. Dumina, V. A. Katrich // Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika). — 2011. — Vol. 70, No. 10. — P. 873–881.

  • . Shyrokorad D. V. Simulation of collision stage of evolution of bipartite bimetal clusters under impact of low-energy argon dimers / D. V. Shyrokorad, G. V. Kornich // Metallofizika i Noveishie Tekhnologii. — 2017. — Vol. 39, No. 2. — P. 163–175.

  • Dumin O. Ultrashort impulse radar for detection and classification of objects in layered medium by artificial neural network / O. Dumin, V. Plakhtii, O. Prishchenko, [et al.] // Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika). — 2019. — Vol. 78, No. 19. — P. 1759–1770.

  • Shyrokorad D. Formation of the core-shell structures from bimetallic janus-like nanoclusters under low-energy ar and ar13 impacts: a molecular dynamics study / D. Shyrokorad, G. Kornich, S. Buga // Computational Materials Science. — 2019. — Vol. 159. — P. 110–119.

  • Shyrokorad D. Evolution of the ni-al janus-like clusters under the impacts of low-energy ar and ar13 projectiles / D. Shyrokorad, G. Kornich, S. Buga // Materials Today Communications. — 2020. — Vol. 23.

  • Goncharov O. A. Structural characteristics and their influence on the properties of transition metal nitride and boride films (overview) / O. A. Goncharov, I. S. Kolinko, G. V. Kornich, [et al.] // Powder Metallurgy and Metal Ceramics. — 2023. — Vol. 62, No. 5–6. — P. 312–325.

  • Goncharov A. Modeling the deposition of thin films of transition metal nitrides / A. Goncharov, A. Yunda, I. Kolinko, [et al.] // Coatings. — 2023. — Vol. 13, No. 12.

Advanced training:

  • 2021 - advanced training at the training "Structure and nature of communication of participants in the educational process in a class (group) with inclusive education"

International internship

  • 2023 International scientific and pedagogical internship 180 hours, India, Portugal, Ukraine, Latvia, Romania, Uzbekistan (6 ects credits)

Non-formal education

  • 2021 – online course DART basics, PT-Americas (24 hours, 12 assignments)

  • 2022 – Teacher's DevOps course, SoftServe Academy

  • 2023 – Tech summer bootcamp for teachers, SoftServe Academy

  • 2023 – Improving Teaching in Higher Education: Institutional and Individual Dimensions, SoftServe Academy (2 hours)

  • 2023 – study under the program of the forum "Skills of the future. Ukraine", NU "Zaporizka Polytechnic" (0.5 ECTS)

Participation in project and grant activities

  • Participation in the Horizon Europe project "Trustworthy Methodologies, Open Knowledge & Automated Tools For Security Testing Of Iot Software, Hardware & Ecosystems" (2023-2026)

Publications and speeches at scientific conferences

  • D. V. Shyrokorad, O. M. Dumin, and O. O. Dumina, “Time domain analysis of reflected impulse fields by artificial neural network,” presented at the 2008 4th International Conference on Ultrawideband and Ultrashot Impulse Signals, UWBUSIS 2008, 2008, pp. 124–126. doi: 10.1109/UWBUS.2008.4669380.

  • O. M. Dumin, O. O. Dumina, and D. V. Shyrokorad, “Time domain analysis of fields reflected from a model of human body surface using artificial neural network,” presented at the European Conference on Antennas and Propagation, EuCAP 2009, Proceedings, 2009, pp. 235–238. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349852861&partnerID=40&md5=63ecd37337dcf7c23c385217b9a4b689.

  • O. M. Dumin, D. V. Shyrokorad, O. O. Dumina, V. A. Katrich, and V. I. Chebotarev, “Approximating properties of artificial neural network in time domain for the analysis of electromagnetic fields reflected from model of human body surface,” presented at the 2010 International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW’2010, 2010. doi: 10.1109/MSMW.2010.5546075.

  • D. Shyrokorad, O. Dumin, O. Dumina, and V. Katrich, “Analysis of transient fields reflected from model of human body surface using convolutional neural network,” presented at the Mathematical Methods in Electromagnetic Theory, MMET, Conference Proceedings, 2010. doi: 10.1109/MMET.2010.5611389.

  • D. V. Shyrokorad and G. V. Kornich, “Thermal and cascade-recoil sputtering of bipartite metal clusters under low-energy argon ion bombardment,” presented at the Proceedings of the 6th International Conference Nanomaterials: Applications and Properties, NAP 2016, 2016. doi: 10.1109/NAP.2016.7757261.

  • D. V. Shyrokorad and G. V. Kornich, “The influence of bombarding particle size on the intensity of the core-shell cluster formation,” presented at the Proceedings of the 2017 IEEE 7th International Conference on Nanomaterials: Applications and Properties, NAP 2017, 2017. doi: 10.1109/NAP.2017.8190158.

  • O. Dumin, S. Khmara, and D. Shyrokorad, “Artificial neural networks in time domain electromagnetics,” presented at the 2017 11th International Conference on Antenna Theory and Techniques, ICATT 2017, 2017, pp. 118–121. doi: 10.1109/ICATT.2017.7972598.

  • D. V. Shyrokorad and G. V. Kornich, “Formation of the core-shell structures from janus-like nanoclusters under low-energy argon particles impacts,” presented at the Proceedings of the 2018 IEEE 8th International Conference on Nanomaterials: Applications and Properties, NAP 2018, 2018. doi: 10.1109/NAP.2018.8915306.

  • O. Dumin, O. Prishchenko, D. Shyrokorad, and V. Plakhtii, “Application of UWB Electromagnetic Waves for Subsurface Object Location Classification by Artificial Neural Networks,” presented at the UWBUSIS 2018 - 2018 9th International Conference on Ultrawideband and Ultrashort Impulse Signals, Proceedings, 2018, pp. 290–293. doi: 10.1109/UWBUSIS.2018.8520097.

  • O. Dumin, O. Prishchenko, G. Pochanin, V. Plakhtii, and D. Shyrokorad, “Subsurface Object Identification by Artificial Neural Networks and Impulse Radiolocation,” presented at the Proceedings of the 2018 IEEE 2nd International Conference on Data Stream Mining and Processing, DSMP 2018, 2018, pp. 434–437. doi: 10.1109/DSMP.2018.8478481.

  • D. V. Shyrokorad and G. V. Kornich, “Evolution of the Ni-Al Janus-like Clusters under Low Energy Argon Cluster Bombardment,” presented at the Proceedings of the 2019 IEEE 9th International Conference on Nanomaterials: Applications and Properties, NAP 2019, 2019. doi: 10.1109/NAP47236.2019.216995.

  • Persanov, O. Dumin, V. Plakhtii, and D. Shyrokorad, “Subsurface Object Recognition in a Soil Using UWB Irradiation by Butterfly Antenna,” presented at the Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED, 2019, pp. 160–163. doi: 10.1109/DIPED.2019.8882577.

  • O. Dumin, V. Plakhtii, O. Prishchenko, and D. Shyrokorad, “Signal processing in UWB subsurface radiolocation by artificial neural networks,” presented at the 2019 IEEE International Scientific-Practical Conference: Problems of Infocommunications Science and Technology, PIC S and T 2019 - Proceedings, 2019, pp. 383–386. doi: 10.1109/PICST47496.2019.9061427.

  • O. Dumin, V. Plakhtii, O. Prishchenko, D. Shyrokorad, and G. Pochanin, “Influence of Noise Reduction on Object Location Classification by Artificial Neural Networks for UWB Subsurface Radiolocation,” presented at the Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED, 2019, pp. 64–68. doi: 10.1109/DIPED.2019.8882590.

  • O. Dumin, V. Plakhtii, D. Shyrokorad, O. Prishchenko, and G. Pochanin, “UWB subsurface radiolocation for object location classification by artificial neural networks based on discrete tomography approach,” presented at the 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering, UKRCON 2019 - Proceedings, 2019, pp. 182–187. doi: 10.1109/UKRCON.2019.8879827.

  • O. Dumin, V. Plakhtii, G. Pochanin, and D. Shyrokorad, “Object classification using artificial neural network processing of data obtained by impulse GPR with 1 Tx + 4Rx antenna system,” presented at the 2020 IEEE Ukrainian Microwave Week, UkrMW 2020 - Proceedings, 2020, pp. 1140–1144. doi: 10.1109/UkrMW49653.2020.9252613.

  • O. Pryshchenko, O. Dumin, V. Plakhtii, D. Shyrokorad, and G. Pochanin, “Collective artificial intelligence approach for the problem of object classification with UWB GPR,” presented at the Proceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED, 2021, pp. 185–190. doi: 10.1109/DIPED53165.2021.9552257.

  • V. Lytvyn et al., “Fuzzy logic-based methodology for building access control systems based on fuzzy logic,” presented at the CEUR Workshop Proceedings, 2024, pp. 104–120. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198918707&partnerID=40&md5=87679aaaa2f742ec9a604c6d724b2511.

Honors and awards

  • 2019 - diploma of the director of the National Center "MANU" O.V. Lisovoy for fruitful cooperation and active participation in the work of the jury of the All-Ukrainian interactive competition "MAN-Junior Researcher"

  • 2022 - gratitude of the rector for a significant contribution to the development and work of the department

  • 2022 - diploma of the district administration of Zaporizhzhya City Council of Oleksandrivsky District for significant personal contribution to the training of highly qualified specialists, high professionalism, fruitful pedagogical and scientific work.

Membership in professional organizations and/or public associations

  • Member of the NGO "Systems Research"

The year of the start of activities at the university: 2017

Contacts

Address:

69063, Ukraine, Zaporizhzhia, 64 University Street

Classroom:

361 (main building)

Phone:

+380631182567

e-mail:

slejpnir@zp.edu.ua
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