<div dir="ltr"><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Dear AI scientist/engineer/student/enthusiast,</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">the Artificial Intelligence and Information Analysis (</span><a href="https://aiia.csd.auth.gr/" target="_blank" style="color:rgb(70,120,134)"><span style="font-family:Calibri,sans-serif">AIIA</span></a><span style="font-family:Calibri,sans-serif">) Lab of Aristotle University of Thessaloniki, in cooperation with the International AI Doctoral Academy (</span><a href="https://www.i-aida.org/" target="_blank" style="color:rgb(70,120,134)"><span style="font-family:Calibri,sans-serif">AIDA</span></a><span style="font-family:Calibri,sans-serif">) offers the 2024 ‘</span><a href="https://icarus.csd.auth.gr/winder-school-on-ai-and-big-data-analytics-for-inspection-surveillance-disaster-prevention-and-management/" target="_blank" style="color:rgb(70,120,134)"><span style="font-family:Calibri,sans-serif">AIIA/AIDA Winder School on ‘AI and big Data Analytics for Inspection/Surveillance, Disaster Prevention and Management</span></a><span style="font-family:Calibri,sans-serif">” (3-4/12/2024) covering the following topics:</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><ul type="disc" style="margin-top:0cm;margin-bottom:0cm"><li style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Big Data Analytics for Natural Disaster Management (NDM), e.g., of forest fires and floods. In such cases, drone images are complemented with satellite images, meteorological data, maps, and social media posts to form big data chunks that must be co-analyzed for efficient NDM.</span></li><li style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Drone Imaging for infrastructure inspection and surveillance, e.g., for damage detection in industrial pipelines and electrical installations.</span></li></ul><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">This school consists of two courses:</span></p><ol start="1" type="1" style="margin-top:0cm;margin-bottom:0cm"><li class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><a href="https://icarus.csd.auth.gr/short-course-on-big-data-analytics-for-natural-disaster-management/" target="_blank" style="color:rgb(70,120,134)"><span style="font-family:Calibri,sans-serif">Short course on Big Data Analytics for Natural Disaster Management</span></a><span style="font-family:Calibri,sans-serif">, December 3rd, 2024.</span></li><li class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><a href="https://icarus.csd.auth.gr/short-course-on-deep-learning-and-computer-vision-for-industrial-infrastructure-inspection/" target="_blank" style="color:rgb(70,120,134)"><span style="font-family:Calibri,sans-serif">Short course on Deep Learning and Computer Vision for Industrial Infrastructure Inspection</span></a><span style="font-family:Calibri,sans-serif">, December 4th, 2024.</span></li></ol><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">These courses are organized by the Horizon Europe R&D projects </span><a href="https://tema-project.eu/" target="_blank" style="color:rgb(70,120,134)"><span style="font-family:Calibri,sans-serif">TEMA</span></a><span style="font-family:Calibri,sans-serif"> and </span><a href="https://simar-project.eu/" target="_blank" style="color:rgb(70,120,134)"><span style="font-family:Calibri,sans-serif">SIMAR,</span></a><span style="font-family:Calibri,sans-serif"> respectively.</span></p><ul type="disc" style="margin-top:0cm;margin-bottom:0cm"><li style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Interested students, scientists and engineers can register in each of these courses free of charge and separately using the above links.</span></li></ul><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">School Organizer: Prof. Ioannis Pitas</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Chair of the International AI Doctoral Academy (AIDA), Director of the Artificial Intelligence and Information analysis (AIIA) Lab,</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EL" style="font-family:Calibri,sans-serif">Aristotle University of Thessaloniki, Greece</span></p></div>