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Position: Associate Professor of the Department of Information Technology and Computer Engineering                Scientific rank: Associate Professor  Scientific degree: Candidate of Technical Sciences  E-mail: sergieieva.k.l@nmu.one  Cabinet: 4/55

 

Educational work

Associate Professor Sergieieva K.L. currently teaches disciplines "Algorithms and data structures", "Information technology in management", "Modern information and communication technologies", "Informational support of legal activity", and "Management of business processes of IT enterprises". She has experience in teaching disciplines such as "Modeling of environmental, economic and social processes", "Data Mining", "Probability Theory and Mathematical Statistics", "Image Processing and Pattern Recognition", "Geostatistics", "Computer Support for Decision Making", "Fundamentals of Geoinformation Systems and Technologies",  "Spatial analysis and modeling in geoinformation technologies" etc.

Scientific activity

The main areas of scientific activity are information technologies of Earth remote sensing data analysis, monitoring of sustainable development indicators, Data Mining. In particular, in her dissertation research Sergieieva K.L. developed an information technology and a system for analyzing the slagheap thermal state using satellite imagery.

She participated in 6 research projects, including grant funded by U.S. Civilian Research and Development Foundation (CRDF). She is the author of more than 60 scientific and methodological publications.

ORCID 0000-0001-7345-2209

Scopus Author ID 55999106800

Researchgate ID Kateryna Sergieieva

Web of Science Researcher ID C-5263-2019

Google Scholar Kateryna Sergieieva

 

Other activity

Associate Professor Sergieieva K.L. participated in international scientific and educational programs, including the Dubrovnik International School of Mining ESEE Mining School (lecturer), DOCSUMSquare EIT RawMaterials PhD Summer School on Circular Economy (co-coacher), International cultural exchange programs organized AGH University of Science and Technology, Krakow, Poland (students’ group leader), etc.

During postgraduate studies, she participated in a one-year internship at the Wroclaw University of Technology as part of the College of Eastern Europe scholarship program  (Wroclaw, Poland).

She has certificates of achievement and professional development awarded by European Space Agency, the TVIS company (Ukraine), the Teacher Training Centre of the "Polish Community" Association, the Council of Young Scientists at Dnipro City Council, the International Society for Engineering Education  and others. Passed the professional development training at the Ukrainian State Chemical Technology University (Department of Computer Engineering and Applied Mathematics, certificate of the internship results № 33-36-22 from 03.05.2018).

She is an independent reviewer of the international publishing house MDPI (Sustainability, Remote Sensing journals).

Sergieieva K.L. in cooperation with Foreign Company EOS Ukraine is a participant in the Horizon 2020 project "Earth observation and Earth GNSS data acquisition and processing platform for safe, sustainable and cost-efficient mining operations" (Grant agreement ID: 869398).

 

Biography

Sergieieva K.L. graduated with honors from the National Mining University (NMU) in 2007 and received the M.S. degree in Computer Ecological and Economic Monitoring. She defended her thesis in “Information technology of slagheaps thermal state analysis using satellite imagery” in 2014 and received her Ph.D. degree Information Technologies. In 2018 - academic title of Docent (equivalent to Associate Professor) of the GeoInformation Systems Department.

Since 2007, she has been working as an assistant, and since 2015 - as an assistant professor at the Department of Information Technology and Computer Engineering (GeoInformation Systems Department). In 2007-2016 she conducted research activities as junior researcher, researcher and senior researcher in the framework of working on state budget research projects.

Publication list of Hnatushenko Volodymyr, Scopus / Web of Sc.:

1. Akymenko, K., Sergieieva, K., Kavats, Y., & Kovrov, O. (2025). Information System for Abandoned Arable Land Detection From Sentinel-2 Images. In CEUR Workshop Proceedings (Vol. 4048, pp. 304-316). https://ceur-ws.org/Vol-4048/paper24.pdf  (Scopus)

2. Nikulin, S., & Sergieieva, K. (2025). Assessing degradation of war-affected anthropogenic landscape using Sentinel-2 images. International Journal of Remote Sensing, 46(15), 5732–5772. https://doi.org/10.1080/01431161.2025.2526001 (Scopus)

3. Nikulin, S. L., Sergieieva, K. L., & Korobko, O. V. (2025, April). Assessment of War-Damaged Agricultural Landscape Degradation in Ukraine using Satellite-Based Contrast Edge Changes. In 18th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment (Vol. 2025, No. 1, pp. 1-5). European Association of Geoscientists & Engineers https://doi.org/10.3997/2214-4609.2025510117 (Scopus).

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

5. Sergieieva, K., Kavats, O., Vasyliev, V., Kavats, Y., & Kovro, O. (2024). Machine learning-based monitoring of war-damaged water bodies in Ukraine using satellite images. In CEUR Workshop Proceedings (Vol. 3790, pp. 422-434). (Scopus)

6. Kavats, O.; Khramov, D.; Sergieieva, K. Surface Water Mapping from SAR Images Using Optimal Threshold Selection Method and Reference Water Mask. Water 2022, 14, 4030. https://doi.org/10.3390/w14244030 (Scopus, WoS).

7. Kavats, O., Khramov, D., & Sergieieva, K. (2022). Surface water mapping from SAR images using optimal threshold selection method and reference water mask. Water, 14(24), 4030. https://doi.org/10.3390/w14244030

8. Kavats, O., Khramov, D., Sergieieva, K., Puputti, J., Joutsenvaara, J., & Kotavaara, O. (2022, July). Optimal Threshold Selection for Water Bodies Mapping from Sentinel-L Images Based On Sentinel-2 Water Masks. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 5551-5554). IEEE. https://doi.org/10.1109/IGARSS46834.2022.9883600

9. Hnatushenko, V. V., Korobko, O., Lytvyn, V., Nikulin, S., & Sergieieva, K. (2022). Information System for Estimation Spatial Characteristics of Lineament Networks Derived from Satellite Images. In IntelITSIS (pp. 561-571). https://ceur-ws.org/Vol-3156/paper43.pdf

10. Nikulin, S. L., Sergieieva, K. L., & Korobko, O. V. (2021, May). Computing raster maps of Earth crust stress regimes in Turkey using WSM database and lineament analysis of satellite images. In Geoinformatics (Vol. 2021, No. 1, pp. 1-6). European Association of Geoscientists & Engineers. https://doi.org/10.3997/2214-4609.20215521089

11. Kavats, O., Khramov, D., Sergieieva, K., & Vasyliev, V. (2020). Monitoring of sugarcane harvest in Brazil based on optical and SAR data. Remote Sensing, 12(24), 4080. https://doi.org/10.3390/rs12244080

12. Nikulin, S. L., Sergieieva, K. L., & Korobko, O. V. (2020, May). Computer detection of the Earth’s crust blocks using satellite image lineaments. In Geoinformatics: Theoretical and Applied Aspects 2020 (Vol. 2020, No. 1, pp. 1-5). European Association of Geoscientists & Engineers. https://doi.org/10.3997/2214-4609.2020geo109

13. Kavats O. Algorithm for statistical downscaling of land surface temperature using ElasticNet / O. Kavats, D. Khramov, K. Sergieieva, & V. Vasyliev // Review of the Bulgarian Geological Society 81. Part 3 (2020): 195-197.

14. Kavats, O., Khramov, D., Sergieieva, K., & Vasyliev, V. (2019). Monitoring harvesting by time series of Sentinel-1 SAR data. 407 Remote. Sens. 11. https://doi.org/10.3390/rs11212496

15. BusyginB, B., Nikulin, S., & Sergieieva, K. (2019). Solving the tasks of subsurface resources management in GIS RAPID environment. Mining of Mineral Deposits. Volume 13 (2019), Issue 3, pp. 49-57. https://doi.org/10.33271/mining13.03.049

16. Busygin, B. S., & Sergieieva, K. L. (2018, May). GIS RES in Ukraine–myth or reality?. In 17th International Conference on Geoinformatics-Theoretical and Applied Aspects (Vol. 2018, No. 1, pp. 1-7). European Association of Geoscientists & Engineers. https://doi.org/10.3997/2214-4609.201801751

17. Busygin, B. S., Garkusha, I. M., & Sergieieva, K. L. (2017, May). Evaluation of yield forecast indicators of agricultural crops using aerospace imagery. In 16th International Conference on Geoinformatics-Theoretical and Applied Aspects (Vol. 2017, No. 1, pp. 1-5). European Association of Geoscientists & Engineers. https://doi.org/10.3997/2214-4609.201701872

18. Busygin, B. S., Korotenko, G. M., Nikulin, S. L., Garkusha, I. M., & Sergieieva, K. L. (2016). Dataware of Internet-center for monitoring of land resources use in Ukraine. Науковий вісник Національного гірничого університету, (5), 115-125. http://nbuv.gov.ua/UJRN/Nvngu_2016_5_19.

19. Sergieieva, K., & Busygin, B. (2015, May). Geoinformation technology of space monitoring of slagheaps thermal state. In 14th EAGE International Conference on Geoinformatics-Theoretical and Applied Aspects (Vol. 2015, No. 1, pp. 1-5). European Association of Geoscientists & Engineers. https://doi.org/10.3997/2214-4609.201412367