Students of the MMDA department took part in the 2024 IEEE Fourth International Conference on SAIC

Posted on by

On October 8-10, 2024, graduate students and masters of the MMAD department took part in the 2024 IEEE Fourth International Conference on System Analysis & Intelligent Computing (SAIC) and presented their scientific achievements.

Anton Okhrimenko (4th year graduate student) presented a paper on solving the problem of unbalanced data sets in the segmentation of satellite images.… Continue reading

The map of forests within the SWIFTT project was presented at ProfIT AI 2024

Posted on by

Associate Professor of the Department of MMDA Hanna Yailymova took part in the 4th International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2024), which took place on September 25-27, 2024. In her report, she presented the results of research conducted within the framework of the international project of the European program Horizon Europe SWIFTT, in particular, she demonstrated a forest map created with the help of satellite data and artificial intelligence methods.… Continue reading

The results of research within the NRFU project on ECML PKDD 2024 are presented

Posted on by

From September 9 to 13, the results of a study conducted by employees and students of the MMDA department under the leadership of Professor Natalia Kussul on the topic “Optimizing War Damage Detection in Agricultural Lands Using Regression Models and Satellite Imagery” were presented at the flagship European conference ECML PKDD 2024 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), held in Vilnius, Lithuania.… Continue reading

An open guest lecture by a world-class specialist

Posted on by

We invite everyone to an open guest lecture by a world-class specialist!

Topic: Using R tools to work with the Global Change Analysis Model (GCAM)

👨‍💻Lecturer: Nazar Kholod –
Doctor of technical sciences in the field of economics at Ivan Franko Lviv National University
Master’s degree in public policy at the University of Maryland, senior researcher at the Pacific Northwest National Laboratory of the US Department of Energy
✅national coordinator of the Net Zero World project in Ukraine
✅Worked for 12 years at the Joint Institute for the Study of Global Change in cooperation with the University of Maryland.… Continue reading

The first publication within the U_CAN project

Posted on by

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

MMDA Department became a partner of SpaceTech Bootcamp: Reimagine Ukraine

Posted on by

📢 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

Posted on by

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