WS Co-Chairs:

	Professor Nataliia Kussul, University of Maryland, USA, kussul@umd.edu, https://geog.umd.edu/facultyprofile/kussul/nataliia
	Professor Andrii Shelestov, National Technical University of Ukraine “Igor Sikorsky KPI”, Ukraine, andrii.shelestov@gmail.com, https://mmda.ipt.kpi.ua/en/andrii-shelestov/

Background

The Earth Intelligence for Safe and Resilient Recovery of Ukraine workshop brings together cutting-edge research and applications at the intersection of Remote Sensing, Artificial Intelligence (AI), modeling, and Big Data analytics to support Ukraine’s recovery under conditions of war and post-war reconstruction. In line with the DESSERT 2026 key topics, the workshop emphasizes the development of trustworthy, dependable, and resilient AI systems for addressing critical challenges in security, safety, and sustainability. Special focus is placed on ensuring that AI-driven Earth Observation (EO) tools are reliable, explainable, and robust when applied to recovery planning and risk mitigation in complex and uncertain environments.

The workshop engages experts, professionals, and stakeholders to explore how Earth Intelligence (EI) can contribute to safe, secure, and sustainable recovery pathways, while ensuring resilience against current and future threats.

Key Topics

• Impact of environmental and conflict-driven threats on security, safety, and resilience
• Trustworthy and explainable AI methods for processing Earth Observation and geospatial data
• Dependable EO-based early warning systems and disaster risk management
• Geospatial intelligence for recovery and resilience planning under uncertainty
• Integration of renewable energy solutions and sustainable infrastructures in post-war recovery
• Synergies between Earth intelligence, cybersecurity, IoT, and Big Data for trustworthy and resilient decision-making

Possible topics of the reports

1. Impact of environmental and conflict-driven threats on security, safety, and resilience
2. Trustworthy and explainable AI methods for processing Earth Observation and geospatial data
3. Dependable EO-based early warning systems and disaster risk management
4. Geospatial intelligence for recovery and resilience planning under uncertainty
5. Integration of renewable energy solutions and sustainable infrastructures in post-war recovery
6. Digital Twins for Land Use Change Assessment
7. Foundational Models and LLMs as effective tools for applied problems solving
8. Synergies between Earth intelligence, cybersecurity, IoT, and Big Data for trustworthy and resilient decision-making

Members of the WS Program Committee

1. Prof, Dr.S. Vyacheslav Kharchenko, National Aerospace University KhAI, Department of Informatics, National Academy of Science of Ukraine
2. Prof, Dr. Nikolaos Bardis, Hellenic Army Academy, Athens, Greece
3. Prof. Vladimir Lukin, National Aerospace University KhAI, Ukraine
4. Prof. Anatoly Sachenko, Ternopyl National Economical University,Ukraine
5. Prof. Benoit Vozel, University of Rennes 1, France
6. Prof. George Markowsky, University of Maine, USA