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    <span style="color:black">Dear AI</span>/CS/ECE<span
      style="color:black"> </span>student/<span style="color:black">scientist/engineer/enthusiast,</span>
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              <p class="MsoNormal" style="text-align:justify">t<span
                  style="color:black">he Artificial Intelligence and
                  Information Analysis (</span><a
                  href="https://aiia.csd.auth.gr/"
                  moz-do-not-send="true"><span
                    style="color:rgb(166,77,121)">AIIA</span></a><span
                  style="color:black">) Lab of Aristotle University of
                  Thessaloniki</span> (AUTH)<span style="color:black">,
                  in cooperation with the International AI Doctoral
                  Academy (</span><span style="color:rgb(153,51,102)"><a
                    href="https://www.i-aida.org/"
                    moz-do-not-send="true"><span
                      style="color:rgb(153,51,102)">AIDA</span></a></span><span
                  style="color:black">)</span>,<span style="color:black"> offers
                  the</span> hybrid (on-site, remote)<span
                  style="color:black"> 2023 ‘</span><b><a
href="https://icarus.csd.auth.gr/aiia-aida-winter-school-on-deep-learning-big-data-analytics-and-drone-imaging-for-industrial-surveillance-and-civil-protection-applications/"
                    moz-do-not-send="true">AIIA/AIDA Winter School on
                    Deep Learning, Big Data Analytics and Drone Imaging
                    for Industrial Surveillance and Civil Protection
                    Applications</a></b><span style="color:black">’ co</span>mprising
                two short courses<span style="color:black">:</span></p>
              <p class="MsoNormal" style="text-align:justify"> </p>
              <o:p class="MsoNormal">1. <a
href="https://icarus.csd.auth.gr/short-course-on-deep-learning-and-computer-vision-for-industrial-infrastructure-inspection-wednesday-12-december-2023/"
                  moz-do-not-send="true">Short course on Deep Learning
                  and Computer Vision for Industrial Infrastructure
                  Inspection</a>: Drone Imaging for infrastructure
                inspection and surveillance, e.g., for damage detection
                in industrial pipelines and electrical installations. <o:u><o:u></o:u></o:u></o:p>
              <p class="MsoNormal"
                style="text-align:justify;text-indent:1cm"><b><span
                    style="color:black">12 December 2023</span></b><span
                  style="color:black"> </span><span
style="font-family:"Segoe UI Emoji",sans-serif;color:black">🗓️</span><span
                  style="color:black;letter-spacing:0.4pt"> </span><span
                  style="letter-spacing:0.4pt">a) <span
                    style="color:black">on - site </span>attendance <span
                    style="color:black">in <a
href="https://www.google.com/maps?ll=40.626813,22.962576&z=16&t=m&hl=en&gl=GR&mapclient=embed&cid=15378852460087723486"
                      moz-do-not-send="true"><span
                        style="color:rgb(166,77,121)">KEDEA</span></a> building</span>,
                  AUTH, Thessaloniki, Greece<span style="color:black"> or </span>b) <span
                    style="color:black">remote </span>participation <span
                    style="color:black">via </span><u><span
                      style="color:rgb(166,77,121)"><a
href="https://authgr.zoom.us/j/92612270289?pwd=VzJvQmYrSmErRm8ydzJtYzduWW1HQT09"
                        moz-do-not-send="true"><span
                          style="color:rgb(166,77,121)">Zoom</span></a></span></u><span
                    style="color:black"> (405011).</span></span></p>
              <o:p class="MsoNormal"> <o:u><o:u></o:u></o:u></o:p>
              <p class="MsoNormal"
                style="text-align:justify;text-indent:1cm"><span
                  style="color:black">Register in advance</span> in this
                course<span style="color:black"> <b>for fr</b></span><b>ee </b>through
                the above-mentioned short course <a
href="https://icarus.csd.auth.gr/short-course-on-deep-learning-and-computer-vision-for-industrial-infrastructure-inspection-wednesday-12-december-2023/"
                  moz-do-not-send="true">www page</a>.</p>
              <p class="MsoNormal"
                style="text-align:justify;text-indent:1cm"> </p>
              <o:p class="MsoNormal">2. <a
href="https://icarus.csd.auth.gr/short-course-on-big-data-analytics-for-natural-disaster-management-ndm-tuesday-13-december-2023"
                  moz-do-not-send="true">Short course on Big Data
                  Analytics for Natural Disaster Management</a>: 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.<o:u><o:u></o:u></o:u></o:p>
              <p class="MsoNormal"
                style="text-align:justify;text-indent:1cm"><b><span
                    style="color:black">13 December 2023 </span></b><b><span
style="font-family:"Segoe UI Emoji",sans-serif;color:black">🗓️</span></b><span
                  style="color:black;letter-spacing:0.4pt"> </span><span
                  style="letter-spacing:0.4pt">a) <span
                    style="color:black">on - site </span>attendance <span
                    style="color:black">in <a
href="https://www.google.com/maps?ll=40.626813,22.962576&z=16&t=m&hl=en&gl=GR&mapclient=embed&cid=15378852460087723486"
                      moz-do-not-send="true"><span
                        style="color:rgb(166,77,121)">KEDEA</span></a> building</span>,
                  AUTH, Thessaloniki, Greece<span style="color:black"> or </span>b) <span
                    style="color:black">remote </span>participation <span
                    style="color:black">via </span><u><span
                      style="color:rgb(166,77,121)"><a
href="https://authgr.zoom.us/j/92612270289?pwd=VzJvQmYrSmErRm8ydzJtYzduWW1HQT09"
                        moz-do-not-send="true"><span
                          style="color:rgb(166,77,121)">Zoom</span></a></span></u><span
                    style="color:black"> (405011).</span></span></p>
              <p class="MsoNormal" style="text-align:justify"> </p>
              <p class="MsoNormal"
                style="text-align:justify;text-indent:1cm"><span
                  style="color:black">Register in advance </span>in this
                course<b><span style="color:black"> for fr</span>ee </b>through
                the above-mentioned short course <a
href="https://www.i-aida.org/course/big-data-analytics-for-natural-disaster-management-ndm/"
                  moz-do-not-send="true">www page</a>.</p>
              <p class="MsoNormal"> </p>
              <p class="MsoNormal">Prospective attendees can register in
                one or both short courses.</p>
              <o:p class="MsoNormal">Students/Scientists, Engineers from
                other scientific disciplines having the necessary
                mathematical background are also welcomed to register.<o:u><o:u></o:u></o:u></o:p>
              <p class="MsoNormal"> </p>
              <p class="MsoNormal"
style="margin-right:0cm;margin-bottom:12pt;margin-left:0cm"><span
                  style="color:black">These </span>short <span
                  style="color:black">courses are organized by the
                  Horizon Europe R&D projects </span><u><span
                    style="color:rgb(166,77,121);letter-spacing:0.4pt"><a
                      href="https://simar-project.eu/"
                      moz-do-not-send="true"><span
                        style="color:rgb(166,77,121)">SIMAR</span></a> </span></u><span
                  style="color:black">and </span><span
                  style="color:rgb(153,51,102)"><a
                    href="https://tema-project.eu/"
                    moz-do-not-send="true"><span
                      style="color:rgb(153,51,102)">TEMA</span></a></span><span
                  style="color:black">, respectively.</span></p>
              <o:p class="MsoNormal">School Organizer: <o:span
                  style="color:black">Prof. Ioannis Pitas<o:u><o:u></o:u></o:u></o:span></o:p>
              <p class="MsoNormal"><span style="color:black">Chair of
                  the International AI Doctoral Academy (AIDA), Director
                  of the Artificial Intelligence and Information
                  analysis (AIIA) Lab,</span></p>
              <p class="MsoNormal"><span style="color:black">Aristotle
                  University of Thessaloniki, Greece</span></p>
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