<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/CS/ECE student/scientist/engineer/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 (AUTH) 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">), is excited to invite you to register and attend the online short course</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">“</span><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)"><b><span style="font-family:Calibri,sans-serif">Big Data Analytics for Natural Disaster Management</span></b></a><span style="font-family:Calibri,sans-serif">”.<b></b></span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Segoe UI Emoji",sans-serif">📅</span><span style="font-family:Calibri,sans-serif"> <b>Date</b>: December 3, 2024<br></span><span style="font-family:"Segoe UI Emoji",sans-serif">🕒</span><span style="font-family:Calibri,sans-serif"> <b>Time</b>: 08:35 - 19:30 EET (09:35 - 20:30 CET)</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">This course offers ten in-depth lectures on the following cutting-edge topics:</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">Drone Imaging</span></li><li style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Computer Vision</span></li><li style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Image Segmentation</span></li><li style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Object Detection</span></li><li style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Privacy Protection</span></li><li style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Simulation and Modeling of Natural Disasters</span></li><li style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Big Data Analytics</span></li><li style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Cloud Computing</span></li><li style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Multimodal Data Analysis</span></li></ul><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Segoe UI Emoji",sans-serif">🔗</span><span style="font-family:Calibri,sans-serif"> <b>Join via Zoom</b>: [</span><a href="https://authgr.zoom.us/j/96937475591?pwd=0FRfulV1vnPdy0atPcbmSdVfvthZSC.1" target="_blank" style="color:rgb(70,120,134)"><span style="font-family:Calibri,sans-serif">Zoom Link</span></a><span style="font-family:Calibri,sans-serif">]<br></span><span style="font-family:"Segoe UI Emoji",sans-serif">🔑</span><span style="font-family:Calibri,sans-serif"> <b>Passcode</b>: 114050</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:"Segoe UI Emoji",sans-serif">🌐</span></b><b><span style="font-family:Calibri,sans-serif"> Register now</span></b><span style="font-family:Calibri,sans-serif">: Please register in advance in this course<b> for free </b>through the above-mentioned short course </span><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">www page<b> </b></span></a><span style="font-family:Calibri,sans-serif">and find more details.</span></p><p style="margin:0cm 0cm 0cm 36pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">                    For AIDA students only: On the top of the above registration, we strongly encourage you to also enroll in this course through the </span><a href="https://www.i-aida.org/course/big-data-analytics-for-natural-disaster-management-ndm-2/" target="_blank" style="color:rgb(70,120,134)"><span style="font-family:Calibri,sans-serif">AIDA website</span></a><span style="font-family:Calibri,sans-serif">, so that a successful attendance of this course appears in the AIDA Certificate of Course Attendance.</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">                                 Students/Scientists, Engineers from other scientific disciplines having the necessary mathematical background are also welcomed to register.</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">This short course is organized by the Horizon Europe R&D project </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 is part of the e-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">”.</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"> We look forward to your participation!</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">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>