{"id":642,"date":"2026-04-10T20:16:57","date_gmt":"2026-04-10T18:16:57","guid":{"rendered":"https:\/\/www.dessert-conf.org\/dessert-2026\/?page_id=642"},"modified":"2026-04-10T20:18:19","modified_gmt":"2026-04-10T18:18:19","slug":"earth-intelligence-for-safe-and-resilient-recovery-of-ukraine-2nd-international-ws-ei4safe-dessert2026","status":"publish","type":"page","link":"https:\/\/www.dessert-conf.org\/dessert-2026\/earth-intelligence-for-safe-and-resilient-recovery-of-ukraine-2nd-international-ws-ei4safe-dessert2026\/","title":{"rendered":"Earth Intelligence for Safe and Resilient Recovery of Ukraine (2nd International WS EI4Safe-DESSERT\u20192026)"},"content":{"rendered":"\n

WS Co-Chairs<\/strong>:<\/p>\n\n\n\n\n \n \n \n
\n
\"\"<\/figure>\n <\/td>\n
Professor Nataliia Kussul,<\/b>
\nUniversity of Maryland, USA,
\nkussul@umd.edu,
\nhttps:\/\/geog.umd.edu\/facultyprofile\/kussul\/nataliia\n<\/td>\n <\/tr>\n
\n
\"\"<\/figure>\n <\/td>\n
Professor Andrii Shelestov,<\/b>
\nNational Technical University of Ukraine \u201cIgor Sikorsky KPI\u201d, Ukraine,
\nandrii.shelestov@gmail.com,
\nhttps:\/\/mmda.ipt.kpi.ua\/en\/andrii-shelestov\/<\/td>\n <\/tr>\n <\/tbody>\n<\/table>\n\n\n\n

Background<\/strong><\/p>\n\n\n\n

The Earth Intelligence for Safe and Resilient Recovery of Ukraine<\/strong> workshop brings together cutting-edge research and applications at the intersection of Remote Sensing, Artificial Intelligence (AI), modeling, and Big Data analytics<\/strong> to support Ukraine\u2019s 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<\/strong> 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.<\/p>\n\n\n\n

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

Key Topics<\/strong><\/p>\n\n\n\n

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

    Possible topics of the reports<\/strong><\/p>\n\n\n\n

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

      Members of the WS Program Committee<\/strong><\/p>\n\n\n\n

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

        <\/p>\n","protected":false},"excerpt":{"rendered":"

        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 \u201cIgor Sikorsky KPI\u201d, 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 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.dessert-conf.org\/dessert-2026\/wp-json\/wp\/v2\/pages\/642"}],"collection":[{"href":"https:\/\/www.dessert-conf.org\/dessert-2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.dessert-conf.org\/dessert-2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.dessert-conf.org\/dessert-2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dessert-conf.org\/dessert-2026\/wp-json\/wp\/v2\/comments?post=642"}],"version-history":[{"count":3,"href":"https:\/\/www.dessert-conf.org\/dessert-2026\/wp-json\/wp\/v2\/pages\/642\/revisions"}],"predecessor-version":[{"id":646,"href":"https:\/\/www.dessert-conf.org\/dessert-2026\/wp-json\/wp\/v2\/pages\/642\/revisions\/646"}],"wp:attachment":[{"href":"https:\/\/www.dessert-conf.org\/dessert-2026\/wp-json\/wp\/v2\/media?parent=642"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}