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</o:shapelayout></xml><![endif]--></head><body lang=EL link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Dear Computer Vision, Machine Learning, Autonomous Systems, DSP/DIP, Social Media Engineers, Scientists and Enthusiasts,<o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>you are welcomed to register and attend one or more of the 21 CVML Web e-Course Modules on offer, each consisting of Lecture Series (208 lectures in total).<o:p></o:p></span></p><p class=MsoNoSpacing><span class=tadv-format-panel><o:p> </o:p></span></p><p class=MsoNoSpacing><span class=tadv-format-panel><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Th</span></span><span class=tadv-format-panel><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>ese<span style='color:black'> asynchronous </span>Web <span style='color:black'>e-</span>C<span style='color:black'>ourse </span>Modules (Lecture Series) <span style='color:black'>provide an overview and in-depth presentation of </span>21 different domains:<o:p></o:p></span></span></p><p class=MsoNoSpacing><span class=tadv-format-panel><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></span></p><ul style='margin-top:0in' type=disc><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l0 level1 lfo3'><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Deep Learning and Neural Networks: </span></strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Machine Learning (12 Lectures), Neural Networks/Deep Learning (14 Lectures), Advanced Deep Learning (7 Lectures)</span><o:p></o:p></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l0 level1 lfo3'><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Deep Learning and Computer Vision Foundations and Tools: </span></strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Mathematical Foundations (9 Lectures), SW Development and Programming Tools (3 Lectures)<b><o:p></o:p></b></span></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l0 level1 lfo3'><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Computer Vision/Image Processing and 3D Imaging: </span></strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Computer Vision (12 Lectures), 2D Computer Vision/Image Analysis (8 Lectures), Image Processing (21 Lectures), Video Processing and Analysis (17 Lectures), 3D Imaging (9 Lectures), 3D Computer Graphics and Virtual Reality (5 Lectures)<o:p></o:p></span></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l0 level1 lfo3'><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Autonomous Systems: </span></strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Autonomous Systems principles (8 Lectures), Robotics and Automatic Control (3 Lectures), Autonomous Cars (8 Lectures), Autonomous Drones (15 Lectures), Autonomous Marine Systems (4 Lectures).<o:p></o:p></span></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l0 level1 lfo3'><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Human centered computing. Social Networks. Graph Theory: </span></strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Human Centered Computing (15 Lectures), Network Theory. Social Media Analysis (10 Lectures).<b><o:p></o:p></b></span></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l0 level1 lfo3'><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Digital Signal Processing and Applications: </span></strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Signal and Systems (11 Lectures), Digital Signal Processing and Analysis (7 Lectures), Medical Image and Signal Analysis (4 Lectures), Acoustics, Speech, Natural Language Processing and Analysis (4 Lectures), Communications (2 Lectures).<b><o:p></o:p></b></span></li></ul><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>You can combine CVML Web e-Course Modules to create CVML Web e-Courses (typically consisting of 16 lectures) of your own choice that cater your needs.<o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Each </span><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>CVML Web e-Course you will create (16 lectures) provides you material that can cover a semester course, but you can master it in approximately 1 month.<o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Asynchronous tutor support will be provided in case of questions.<o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>CVML Web e-Course Module materials<span style='color:black'> typically consist of: a) a lecture pdf/ppt, b) lecture </span>self-assessment <span style='color:black'>understanding questionnaire and lecture video, programming exercises, tutorial exercises (for several modules/lectures) and overall course module satisfaction questionnaire.<o:p></o:p></span></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Course materials have been very successfully used in many top conference keynote speeches/tutorials worldwide and in short courses, summer schools, semester courses delivered by AIIA Lab physically or on-line from 2018 onwards, attracting many hundreds of registrants. <o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Course materials are at senior undergraduate/MSc level in a CS, CSE, EE or ECE or related Engineering or Science Department. Their structure, level and offer are completely different from what you can find in either Coursera or Udemy. </span><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p></o:p></span></p><p class=MsoNoSpacing><b><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></b></p><p class=MsoNoSpacing><b><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>You can find sample Web e-Course Module material to make up your mind and/or can perform CVML Web e-Course registration in:<o:p></o:p></span></b></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/">http://icarus.csd.auth.gr/cvml-web-lecture-series/</a><o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>For questions, please contact: Ioanna Koroni <<a href="mailto:koroniioanna@csd.auth.gr">koroniioanna@csd.auth.gr</a>><o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></p><p class=MsoNoSpacing><b><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Academic/Research/Industry offer and arrangements<o:p></o:p></span></b></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Special arrangements can be made to offer the material of these CVML Web e-Course Modules at University/Department/Company level: <o:p></o:p></span></p><ul style='margin-top:0in' type=disc><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l5 level1 lfo6'><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>by granting access to the material to University/research/industry lecturers to be used as an aid in their teaching, <o:p></o:p></span></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l5 level1 lfo6'><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>by enabling class registration in CVML Web e-Courses<o:p></o:p></span></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l5 level1 lfo6'><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>by delivering such live short courses physically or on-line by Prof. Ioannis Pitas<o:p></o:p></span></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l5 level1 lfo6'><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>by combinations of the above.<o:p></o:p></span></li></ul><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>The CVML Web e-Course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Coordinator of International AI Doctoral Academy (AIDA), past Chair of the IEEE SPS Autonomous Systems Initiative, <o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020<o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 34100+ citations to his work and h-index 87+.<o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>The informatics Department at AUTH ranked 106th internationally in the field of Computer Science for 2019 in the Leiden Ranking list<span style='color:black'><o:p></o:p></span></span></p><p class=MsoNoSpacing><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></p><p class=MsoNoSpacing><b><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Relevant links:<o:p></o:p></span></b></p><ol style='margin-top:0in' start=1 type=1><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l2 level1 lfo9'><b><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Prof. I. Pitas: <a href="https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el">https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el</a><o:p></o:p></span></b></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l2 level1 lfo9'><b><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>International AI Doctoral Academy (AIDA): <a href="https://www.i-aida.org/">https://www.i-aida.org/</a><o:p></o:p></span></b></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l2 level1 lfo9'><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Horizon2020 EU funded R&D project Aerial-Core: <a href="https://aerial-core.eu/">https://aerial-core.eu/</a><o:p></o:p></span></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l2 level1 lfo9'><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Horizon2020 EU funded R&D project Multidrone: <a href="https://multidrone.eu/">https://multidrone.eu/</a><o:p></o:p></span></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l2 level1 lfo9'><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Horizon2020 EU funded R&D project AI4Media: <a href="https://ai4media.eu/">https://ai4media.eu/</a><o:p></o:p></span></li><li class=MsoNoSpacing style='margin-left:-.25in;mso-list:l2 level1 lfo9'><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>AIIA Lab: <a href="https://aiia.csd.auth.gr/">https://aiia.csd.auth.gr/</a><o:p></o:p></span></li></ol><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>Sincerely yours</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>Prof. I. Pitas<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>Director of the Artificial Intelligence and Information analysis Lab (AIIA</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>Lab)</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>Aristotle University of Thessaloniki, Greece<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>Post scriptum: To stay current on CVML matters, you may want to register to</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>the CVML email list, following instructions in</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US><a href="https://lists.auth.gr/sympa/info/cvml">https://lists.auth.gr/sympa/info/cvml</a></span><o:p></o:p></p></div><div id="DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2">
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