The first publication within the U_CAN project

The team of the MMDA department is pleased to announce the publication of its first paper “Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic” within the framework of the U_CAN project in the European Journal of Remote Sensing (IF 3.7).… Continue reading

U_CAN project website launched

News of the U_CAN project

🌍We are happy to announce that the website of the U_CAN – Ukraine towards Carbon Neutrality project, the partner of which is our MMDA department, is ready!

The U_CAN project aims to help Ukrainian cities adapt their strategies and standards to the EU climate policy.… Continue reading

Our students gained Presidential scholarship

We are happy to announce that our talented master’s students (FI-31mn group) – Saliy Yevgeniy Valeriyovych, Kuzin Volodymyr Hamletovych and Drozd Sofiya Yuriivna – won the Presidential Scholarship! 🏆 This is recognition of their educational achievements and perseverance. This scholarship is not only an honorary award, but also an additional incentive for our students to continue to achieve great heights in education and research.… Continue reading

MMDA Department became a partner of SpaceTech Bootcamp: Reimagine Ukraine

📢 We are proud to announce that our department has become a partner of SpaceTech Bootcamp: Reimagine Ukraine, organized by SET University and UMAEF.

👩‍🎓It is especially nice to note that the master’s student of our department, Sofia Drozd, acts as a mentor at the ideaton and works side by side with recognized innovation leaders, developing advanced technological solutions for the recovery of Ukraine.… Continue reading

Our work was presented at the international conference IGARSS 2024

Professor of our department Andrii Shelestov and 1st-year master’s student Sofiia Drozd presented 4 of our papers at the 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), which took place on July 7-12, 2024 in Athens, Greece.

Two papers on “Features’ Selection for Forest State Classification Using Machine Learning on Satellite Data” (authors Yevhenii Salii, Volodymyr Kuzin, Alla Lavreniuk, Nataliia Kussul) and “A multimodal dataset for forest damage detection and machine learning” (authors Hanna Yailymova , Bohdan Yailymov, Yevhenii Salii, Volodymyr Kuzin, Andrii Odruzhenko, Serhii Sydorenko, Andrii Shelestov, Nataliia Kussul), were performed within the framework of the HORIZON Europe project “Satellites for Wilderness Inspection and Forest Threat Tracking” (SWIFTT) and were devoted to the use of machine learning in engineering signs for determining damaged forests based on satellite data, as well as forming a data set on the basis of which research was conducted.… Continue reading

2nd place in “AI for Defense: Drones, Security, and Disinformation”

We are happy to announce that the bplAI team of students of our MMAD department took the prize 2nd place in the field of Software within the framework of the 2024 summer school “AI for Defence: Drones, Security, and Disinformation”!
The composition of the team: Svyatoslav Khmelevskyi (2024 master’s graduate, group FI-21mn), Zinevych Valentin and Berkuta Volodymyr (2nd year of bachelor’s degree, group FI-21), Anastasia Bekesheva (3rd year of bachelor’s degree, group FI-12) and Novikov Timur.… Continue reading