We invite you to participate in a workshop at the DESSERT 2026 conference

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We invite you to participate in the Earth Intelligence for Safe and Resilient Recovery of Ukraine (2nd International WS EI4Safe-DESSERT’2026) workshop at the international conference DESSERT 2026, co-organized by the MMDA Department NN IPT and the University of Maryland!

The workshop topics include:
– Impact of environmental and conflict threats on security, protection and resilience
– Artificial intelligence methods for processing satellite and geospatial data
– Reliable early warning and disaster risk management systems
– Geospatial analysis for recovery planning under uncertainty
– Integration of renewable energy and sustainable infrastructure solutions in post-conflict recovery
– Synergy between Earth intelligence, cybersecurity, IoT and big data for reliable and sustainable decision-making.… Continue reading

New projects of the Ministry of Education and Science for 2026-2028

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The staff of the Department of MMDA ER IPT won three projects of the Ministry of Education and Science for 2026-2028!

Within the framework of the competition for fundamental scientific research, applied scientific research, scientific and technical (experimental) developments of young scientists, we are preparing to implement two projects (out of 9 throughout KPI and 239 throughout Ukraine):

✅ Machine learning methods with adaptive fusion of multimodal data for cross-regional transfer of land cover classification models (scientific supervisor – associate professor of the department, dr.… Continue reading

Our work was presented at the international conference IGARSS 2024

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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

All-Ukrainian scientific and practical conference of students, postgraduates and young scientists

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📢 The Department of MMDA invites students, graduate students and young scientists (under the age of 35) to participate in the 22nd All-Ukrainian Scientific and Practical Conference of Students, Postgraduate Students and Young Scientists “Theoretical and Applied Problems of Physics, Mathematics and Informatics” in the “Mathematical Modeling and Data Analysis” section “.… Continue reading