Dnipro University of Technology — Compliance with the Time
Kashtan Vita
Associate Professor 


Position: Associate Professor of the Department 

Scientific degree : Candidate of Technical Sciences (Ph.D. in Technology)

Scientific rank: Associate Professor 

         Cabinet: 1/79
 
  

Educational work

Kashtan V.Yu. currently teaches disciplines: “Computer Networks”, “Computing and programming”, “Telecommunication technologies in information systems”, “Intelligent information technologies”, “Information technologies in public administration”, “Fundamentals of Geographic Information Systems and Technologies”, “Image Processing and Computer Vision”, “Digital Spatial Data Processing”, “Processing and Decoding of Aerospace Images”.


Certification training Scientific activity


1. Dissertation topic: “Computer-graphics technologies of wavelet processing of photogrammetric scanner images”. Diploma ДД № 039789 from 13.12.2016 р.
  2. EPAM Systems. Certificate No. 603. Training "Teacher's Internship program held" from 14.12.2021 Total volume: 108 hours (3.6 credits).  
  3. Berdiansk Pedagogical University. Certificate №АD026/2020. Training "Pedagogical skills of a higher education teacher" of 30.11.2020: 30 hours.
  4. Sigma Software University. Certificate No. 10081. Partner of the course - IT Ukraine Association. Training "TEACHERS` SMARTUP" from 24.01.2022 - 28.01.2022 Total volume: 30 hours (1 ECTS).  
  5. EPAM Systems. Certificate No. 680. Training "Teacher's Internship program held" from 22.01.2022 - 22.02.2022: 180 hours.  
  6. National Technical University "Dnipro Polytechnic". Certificate №CWUP 020822-12. Training "Cybersecurity and Artificial Intelligence" from 05.08.2022. Total volume: 15 hours (0.5 credit).
  7. National Agency for Higher Education Quality Assurance. Certificate №101048055-14-025. Training "Academic integrity as a driving force for improving the quality of higher education: cases of accreditation". June 14-16, 2022. Total volume: 15 hours (0.5 credit).
  8. National Agency for Quality Assurance in Higher Education. Certificate №101048055-25-095. Training "Institutional Culture of Academic Integrity: National Experience and Best Practices of the European Union" of May 26-25, 2022. Total volume:  15 hours (0.5 credit).
  9. National Technical University "Dnipro Polytechnic". Certificate No. 2. Participation in the XII All-Ukrainian Scientific and Technical Conference of Postgraduate Students and Young Scientists "Scientific Spring". from 23.05.2022 -24.05.2022:  15 hours (0.5 credits). .
  10. Public organization "Scientific Community". Certificate. Participation in the International Scientific Internet Conference "Information Society: Technological, Economic and Technical Aspects of Formation". from 06.04.2022 - 07.04.2022: 18 hours (0.6 credits).  
  11. Innovative University. Certificate №1191. Refresher course "Brand of a scientist in the digital world" from 05.12.2022. Total volume: 30 hours/1 ECTS credit.
  12. Eastern Europe Foundation. Certificate №414.  Online event "Cyber hygiene in life and at work" from 02.02.2023. Total volume: 1.5 hours.
  13. Scientist support office. Certificate No. 806. Participant of the I Series of the Mentor School Project from 03/15/2023. Total volume: 60 hours.
  14.Ukrainian State University of Science and Technology. Institute of Industrial and Business Technologies. Certificate. Participation in the international scientific and technical conference "Information Technology in Metallurgy and Mechanical Engineering - ITMM'202" of 22.03.2023. Total number of academic hours: 6 hours (0.2 ECTS credits).
  15. Ranok Publishing House LLC. Сертифікат №Y2203231115341325745. Advanced training in the form of "webinar" (remotely) on the topic: "Digital content in the educational process: state, problems, prospects" of 22.03.2023. Total number of academic hours: 3 hours (0.09 ECTS credit).
  16. NTU "Dnipro Polytechnic". Сертифікат №ЗКЦПР02070743-012-128. Training "Features of the functioning of the culture of academic integrity
in the conditions of martial law" from March 29 to 30, 2023. Total number of hours - 15 hours (0.5 ECTS credit).
  17. NTU "Dnipro Polytechnic". Сертифікат №ЗКЦПР02070743-012-128. Training "Peculiarities of the functioning of the culture of academic integrity in the conditions of martial law" from March 29 to 30, 2023. Total number of hours - 15 hours (0.5 ECTS credit).
  18. Council of Young Scientists at the Ministry of Education and Science of Ukraine. Certificate No. 2417. Winter School of Young Scientist 3.0 from March 18 to April 14, 2023. The total number of hours is 40 hours.
  19. Ukrainian Association of High-Tech Enterprises and Organizations "Cosmos". Space Research Council of the National Academy of Sciences of Ukraine. Certificate №79. Online course "On-orbit Servicing, Assembly, and Manufacturing (OSAM): Problems, Technical Solutions, Global Trends" from April 04 to April 07, 2023. The total number of hours is 15 academic hours (0.5 ECTS credits).
  20. Genesis IT company and the NGO "Educational Foundation of Product IT". Certificate No. 171/081-2023. Course "Creation and development of IT products". Duration of the course: 10.07.2023 - 21.07.2023. Course volume 2 ECTS credits.
  21. Genesis IT company and the NGO "Product IT Educational Foundation". Certificate No. 178/082-2023. Course "Marketing of IT products". Course duration: 24.07.2023 - 04.08.2023. Course volume 2 ECTS credits.
  22. NTU "Dnipro Polytechnic" and the Business School of NTU "Dnipro Polytechnic". Certificate №02070743-13/49-В/2023-03-26. Webinar "Features of professional standards in today's conditions; procedure for creating qualification centers. Course duration: 14.06.2023. Webinar volume: 15 academic hours (0.5 ECTS credit).

 23. Entrepreneurship та Dnipro University of Technology. Certificate HST Nr. 49-2122-2023. The course Entrepreneurship: Turning ideas into business, as part of the HEI Innovation for Knowledge Intensive Entrepreneurship Project (HIVE). The course lasts from 12.10.2023 to 15.12.2023: 3 ECTS credits (90 hours).


Scientific activity

   The main areas of scientific activity are information technologies and computer modeling of processes and systems of scanning multispectral digital data. In particular, in dissertation research, Kashtan V.Yu developed a new computer-graphics sub-pixel co-registration technology for multi-channel images, which are connected with scaling and rotation transformations was developed. It has allowed us to recognize images that have different camera angles.
   Author and co-author of more than 30 scientific articles and abstracts.
ORCID: 0000-0002-0395-5895
Scopus Author ID: 57201902879
Researchgate ID: Vita Kashtan
Web of Science Researcher ID: T-1303-2017
Google Scholar: Vita Kashtan (Shevchenko)

 

Other activity

   Cisco Networking Academy Certified Trainer with IT Essentials from 28.03.2014.
   Certificate B2 007Z150DP09 from 15.06.2019.
   Member of the Ukrainian Scientific and Educational IT Society. Certificate No. 21-00072 FS dated 10/20/2021.
   Agent of the Young Scientist Support Office. Certificate No. 6, dated September 5, 2022.

   Winner of the annual competition "Young Scientist of the Year" based on the results of 2022 in the following nominations:
     • Young Methodologist of the Year in the field of geographical and geological sciences, certificate № 0397 dated 10.05.2023;
     • AI technologies in science, certificate № 0325 dated 10.05.2023.

   I place at the Faculty of IT in the Best Young Scientist 2023 competition.

 

Biography

   Kashtan V.Yu. graduated with honors from the Ukrainian Academy of Customs (now the University of Customs and Finance) in 2012. From 2012 to 2016, she studied at the graduate school of Oles Honchar Dnipro National University. She defended her dissertation topic: “Computer-graphics technologies of wavelet processing of photogrammetric scanner images”. In 2016 and received her Ph.D. degree in Information Technologies.
   She began teaching activities in 2013. Since 2017 she has been employed as an associate professor at the Department of Computer Science and Information Technologies of Oles Honchar Dnipro National University. Since 2020 she has been an Associate Professor at the Department of Information Technology and Computer Engineering of Dnipro University of Technology.


Articles in journals and collections of scientific papers included in scientometric databases (Scopus, Web of Science):

1. Kashtan V.Yu., Hnatushenko V.V. Intelligent technology for land cover monitoring due to amber mining on optical satellite images. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2025, № 3. P.156-164. https://doi.org/10.33271/nvngu/2025-3/156 (Scopus)

2. Hnatushenko, Vik., Kashtan, V. Y., Hnatushenko, V. V., and Heipke, C.: Flood Forecasting with Sentinel-2 Images Using Machine Learning, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 583–588, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-583-2025 , 2025. (Scopus)

3. Kashtan V., Hnatushenko V. Deep learning-based segmentation of multi-temporal satellite imagery for flood detection. ISW-2025: Intelligent Systems Workshop at 9th International Conference on Computational Linguistics and Intelligent Systems (CoLInS-2025), May 15–16, 2025, Kharkiv, Ukraine. P.103-114. https://ceur-ws.org/Vol-3983/paper8.pdf (Scopus)

4. Kashtan V., Radionov Y., Hnatushenko V. Aircraft detection in aerial imagery based on YOLO architectures. ISW-2025: Intelligent Systems Workshop at 9th International Conference on Computational Linguistics and Intelligent Systems (CoLInS-2025), May 15–16, 2025, Kharkiv, Ukraine. P.196-208. https://ceur-ws.org/Vol-3983/paper15.pdf (Scopus)

5. Kashtan Vita, Hnatushenko Volodymyr, Ovcharenko Maksym, Ivanko Artem. A hybrid neural network architecture for semantic-contextual analysis of emotions in social media. MoDaST 2025: Modern Data Science Technologies Doctoral Consortium, June, 15, 2025, Lviv, Ukraine, Pp.15-28. https://ceur-ws.org/Vol-4005/paper2.pdf (Scopus)

6. Hnatushenko Volodymyr, Kashtan Vita, Kazymyrenko Oleksii. Information technology for detecting cars on aerial imaging using a modified YOLO-OBB architecture. MoDaST 2025: Modern Data Science Technologies Doctoral Consortium, June, 15, 2025, Lviv, Ukraine, Pp. 293-304. https://ceur-ws.org/Vol-4005/paper20.pdf (Scopus)

7. Kashtan Vita, Hnatushenko Volodymyr, Babets Dmytro, Cyran Krzysztof, Wereszczyński Kamil. Hybrid quantum CNN-based information technology for building semantic segmentation in aerial imagery. PhD Workshop on Artificial Intelligence in Computer Science at 9th International Conference on Computational Linguistics and Intelligent Systems (CoLInS-2025), May 15–16, 2025, Kharkiv, Ukraine. Pp.150-162. https://ceur-ws.org/Vol-4015/paper11.pdf (Scopus конф)

8. Aziukovskyi Oleksandr, Hnatushenko Volodymyr, Kashtan Vita, Polyanska Alla, Jamróz Andrzej. (2025). Intelligent Electricity Load Forecasting Method using ARIMA-LSTM-Random Forest. Inteligentna metoda prognozowania obciążenia energią elektryczną z wykorzystaniem ARIMA-LSTM-Random Forest. Inżynieria Mineralna. 1. Vol. 1 No. 1 (2025): Inżynieria Mineralna. PP. 123-132 . DOI: 10.29227/IM-2025-01-18. (Scopus)

9. Kashtan V. Yu., Hnatushenko V. V., Udovyk I. M., Kazymyrenko O. V., Radionov Y. D (2025). A neural network approach to semantic segmentation of vehicles in very high resolution images. The scientific journal «Radio Electronics, Computer Science, Control». – Zaporizhzhia, 2025. № 3(74). – P.77-85. (WoS)

10. Kashtan V.Yu., Hnatushenko V.V. Machine learning for automatic extraction of water bodies using Sentinel-2 imagery. The scientific journal «Radio Electronics, Computer Science, Control». – Zaporizhzhia, 2024. – №1 (68). – Р.118-127. (Web of Science). DOI: https://doi.org/10.15588/1607-3274-2024-1-11

11. Ivan Laktionov, Grygorii Diachenko, Vita Kashtan, Artem Vizniuk, Vyacheslav Gorev, Kostiantyn Khabarlak, Yana Shedlovska. A comprehensive review of recent approaches and Hardware-Software technologies for digitalisation and intellectualisation of Open-Field crop Production: Ukrainian case study in the global context, Computers and Electronics in Agriculture, Volume 225, 2024,https://doi.org/10.1016/j.compag.2024.109326.

12. Vyacheslav Gorev, Yana Shedlovska, Ivan Laktionov, Grygorii Diachenko, Vita Kashtan, Kostiantyn Khabarlak Method to signal processing based on Kolmogorov–wiener prediction of MFSD process. The scientific journal «Radio Electronics, Computer Science, Control». – Zaporizhzhia, 2024. – P.19-25. DOI 10.15588/1607-3274-2024-3-2

13. Nikulin S., Sergieieva K., Korobko O., Kashtan V. Using the Contrast Boundary Concentration of LST for the Earthquake Approach Assessment in Turkey, 6–8 February 2023. Earth (Switzerland), 2024, 5(3), P.388–403. https://doi.org/10.3390/earth5030022

14. Kashtan V.Yu., Hnatushenko V.V., Laktionov I.S., Diachenko H.H. Intelligent sentinel satellite image processing technology for land cover mapping. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024. № 5. P. 143–150. DOI: https://doi.org/10.33271/nvngu/2024-5/143.

15. Radionov Y. D., Kashtan V. Yu., Hnatushenko V. V., Kazymyrenko O. V. Aircraft detection with deep neural networks and contour-based methods. The scientific journal «Radio Electronics, Computer Science, Control». – Zaporizhzhia, 2024. №1  4(71). – P.121-129. DOI:10.15588/1607-3274-2024-4-1.

16. Grygorii Diachenko, Ivan Laktionov, Artem Vizniuk, Vyacheslav Gorev,Vita Kashtan, Kostiantyn Khabarlak, Yana Shedlovska. An Improved Approach to Prediction of Maize Disease Occurrence Based on Weather Monitoring and Machine Learning: Case of the Forest-Steppe and Northern Steppe of Ukraine. Baltic J. Modern Computing, Vol. 12 (2024), No. 4, 387-414 https://doi.org/10.22364/bjmc.2024.12.4.03

17. Vita Kashtan, Denys Ivanov, Volodymyr Hnatushenko. Geoinformation Technology for Modeling and Mapping Flooding Territory in the Event of the Dnipro Hydroelectric Power Station Dam Failure. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1. Lecture Notes on Data Engineering and Communications Technologies, 27 December 2024, vol 219, pp 93–115. Springer, Cham. Print ISBN 978-3-031-70958-6, Online ISBN 978-3-031-70959-3. https://doi.org/10.1007/978-3-031-70959-3_5 .

18. Kashtan V.Yu., Hnatushenko V. V. Deep Learning Technology for Automatic Burned Area Extraction Using Satellite High Spatial Resolution Images. Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2022. Advances in Intelligent Systems and Computing, Springer, Cham. – 2023, vol 1246.  Pp. 664-685. https://doi.org/10.1007/978-3-031-16203-9_37

19. Kashtan V. Yu., Hnatushenko V. V. Automated Building Damage Detection on Digital Imagery Using Machine Learning. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023. № 6. P. 134–140. DOI: https://doi.org/10.33271/nvngu/2023-6/134.

20. Ivanov D.V., Hnatushenko V.V., Kashtan V.Yu., Garkusha I.M. Computer modeling of territory flooding in the event of an emergency at Seredniodniprovska Hydroelectric Power Plant. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2022, № 6. P.158-163. DOI:10.33271/nvngu/2022-6/123.

21. Kashtan V.Yu., Hnatushenko V. V., Zhir S. Information Technology Analysis of Satellite Data for Land Irrigation Monitoring. 2021 IEEE International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo), Kyiv, Ukraine, November 29 – December 3, 2021, pp. 12-15 (Scopus). DOI:10.1109/UkrMiCo52950.2021.9716592.

22. Kashtan V.Yu., Hnatushenko V.V. Automated pansharpening information technology of satellite images. The scientific journal «Radio Electronics, Computer Science, Control». – Zaporizhzhia, 2021. – №2 (57). – Р.123-133. (Web of Science). https://doi.org/10.15588/1607-3274-2021-2-13

23. Kashtan V.Yu., Hnatushenko V. V., Hnatushenko Vik., Reuta O., Udovyk I. Voxel Approach to the Shadow Formation Process in Image Analysis. The 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAASC) 22-25 September, 2021, Cracow, Poland, pp. 33-37. (Scopus). DOI: 10.1109/IDAACS53288.2021.9660909.

24. Kahtan V.Yu., Hnatushenko V.V. A Wavelet and HSV Pansharpening Technology of High Resolution Satellite Images. Intelligent Information Technologies & Systems of Information Security IntelITSIS 2020. – Khmelnytskyi, Ukraine, June 10-12, 2020. – p. 67-76.

25.  Kahtan V.Yu., Hnatushenko V.V. Computer technology of high resolution satellite image processing based on packet wavelet transform. International Workshop on Conflict Management in Global Information Networks CMiGIN 2019. – Lviv, Ukraine, November 29, 2019. – p. 370-380.

26. Kahtan V.Yu., Shedlovska Y. I., Hnatushenko V. V.  Processing technology of multispectral remote sensing images [Electronic recourse]. International Young Scientists Forum on Applied Physics 2017, October, 16 – 20, Lviv, Ukraine : Proceedings. –Lviv, 2017. – p. 355-358. doi: 10.1109/YSF.2017.8126647.

27.  Shedlovska Y. I., Kahtan V.Yu., Hnatushenko V. V. Satellite Imagery Features for the Image Similarity Estimation [Electronic recourse]. International Young Scientists Forum on Applied Physics 2017, October, 16 – 20, Lviv, Ukraine : Proceedings. –Lviv, 2017. – p. 359-362. doi: 10.1109/YSF.2017.8126673.

28. Hnatushenko V.V., Hnatushenko Vik.V., Kavats O.O., Shevchenko V. Yu. Pansharpening technology of high resolution multispectral and panchromatic satellite images. Науковий вісник НГУ, 2015, № 4 (148). С. 91-98.

 


Scientific publications in scientific journals included in the list of scientific professional publications of Ukraine:
  1. Viktoriia Hnatushenko, Volodymyr Hnatushenko, Vita Kashtan, Christian Heipke (2023). Detection of Forest Fire Consequences on Satellite Images using a Neural Network. Wissenschaftlich-Technische Jahrestagung der DGPF in München – Publikationen der DGPF, Band 31, Р.223-232.


Scientific publications in scientific journals included in the list of scientific professional publications of Ukraine:
  1. Kashtan V.Iu. Hnatushenko V.V. Informatsiina tekhnolohiia pidvyshchennia informatyvnosti bahatokanalnykh danykh na osnovi paketnykh veivlet-peretvoren. Naukovyi zhurnal "Komp`iuterno-intehrovani tekhnolohii: osvita, nauka, vyrobnytstvo". – Lutsk, 2016. – s.77-83.
  2. Hnatushenko V.V., Kashtan V.Iu. Tekhnolohiia heometrychnoi ta spektralnoi korektsii optyko-elektronnykh kosmichnykh znimkiv. Visnyk KhNTU. – Kherson, 2017. – № 3 (62). – S.  286-291.
  3. Kashtan V.Iu., Hnatushenko V.V. Konturna sehmentatsiia tsyfrovykh suputnykovykh znimkiv z vykorystanniam osoblyvykh tochok veivlet-peretvorennia / Kashtan V.Iu. Systemni tekhnolohii. Rehionalnyi mizhvuzivskyi zbirnyk naukovykh robit. - Vypusk 1 (120). - Dnipro, 2019. - S.3 – 11.
 4. Kashtan V.Iu., Hnatushenko V.V. Doslidzhennia efektyvnosti metodiv zlyttia suputnykovykh znimkiv vysokoho prostorovoho rozriznennia. Prykladni pytannia matematychnoho modeliuvannia. Kherson, 2020, Tom 3, №2.1. – s.117-127.
 5. Kashtan V.Iu., Hnatushenko V.V. Vydalennia tinei na tsyfrovykh kosmichnykh znimkakh na osnovi veivlet-peretvorennia. Systemni tekhnolohii. Rehionalnyi mizhvuzivskyi zbirnyk naukovykh prats. - Vypusk 5 (130). – Dnipro, 2020. - S.88 - 101. DOI:  10.34185/1562-9945-5-130-2020-11
 6. Kashtan V.Iu., V.V. Hnatushenko, Udovyk I.M., Shevtsova O.S. Neiromerezheve rozpiznavannia obiektiv zabudovy na aerofotoznimkakh. Systemni tekhnolohii. Rehionalnyi mizhvuzivskyi zbirnyk naukovykh robit. - Vypusk 1 (120). - Dnipro, 2023. - S.30 – 39. DOI: DOI 10.32782/IT/2023-1-5.
 7. Kashtan V.Iu., Serhieieva K.L., Korobko O.V., Ivanov D.V. Poshuk ta otsinka ostroviv tepla na tsyfrovykh kosmichnykh znimkakh. Systemni tekhnolohii. Rehionalnyi mizhvuzivskyi zbirnyk naukovykh prats. – Vypusk 3 (146). - Dnipro, 2023. S.87-98. DOI 10.34185/1562-9945-3-146-2023-09.
 8. Kashtan V.Yu., Hnatushenko V.V. Information technology for detecting forest fire contours using optical Satellite data. Системні технології. Регіональний міжвузівський збірник наукових праць. – Випуск 1(144), 2023. C. 3–12. DOI 10.34185/1562-9945-1-144-2023-01.
  9. S.L. Nikulin, V.Iu. Kashtan, V.V. Hnatushenko, O.V. Korobko. Otsinka informatyvnosti kontrastnykh hranyts yaskravosti danykh dystantsiinoho zonduvannia Zemli pry vyrishenni heolohichnykh zadach. Naukovi pratsi Donetskoho natsionalnoho tekhnichnoho universytetu. Seriia: “Informatyka, kibernetyka ta obchysliuvalna tekhnika”. Vseukrainskyi naukovyi zbirnyk. – Lutsk, 2024. S.29 – 38.
  10  Kashtan V.Iu., Shevtsova O.S. Informatsiina tekhnolohiia poperednoi obrobky suputnykovykh zobrazhen z vykorystanniam zghortkovoi neironnoi merezhi. Systemni tekhnolohii. Rehionalnyi mizhvuzivskyi zbirnyk naukovykh robit. - Vypusk 1 (150). – Dnipro, 2024. S.36 – 50. DOI: https://doi.org/10.34185/1562-9945-1-150-2024-04





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