{"id":720,"date":"2022-03-09T17:33:58","date_gmt":"2022-03-09T17:33:58","guid":{"rendered":"https:\/\/medes.sigappfr.org\/22\/?page_id=720"},"modified":"2022-10-24T10:05:15","modified_gmt":"2022-10-24T10:05:15","slug":"yiannis-kompatsiaris","status":"publish","type":"page","link":"https:\/\/medes.sigappfr.org\/22\/keynotes\/yiannis-kompatsiaris\/","title":{"rendered":"Yiannis Kompatsiaris"},"content":{"rendered":"

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Yiannis Kompatsiaris<\/h1>\n

Director of CERTH-ITI, Greece<\/h4>\n

Dr. Ioannis (Yiannis) Kompatsiaris is the Director of CERTH-ITI and the Head of Multimedia Knowledge and Social Media Analytics Laboratory. His research interests include \u0391\u0399\/ML for Multimedia, Semantics (multimedia ontologies and reasoning), Social Media and Big Data Analytics, Multimodal and Sensors Data Analysis, Human Computer Interfaces, e- Health, Cultural, Media\/Journalism and Security applications. He is the co-author of 178 papers in refereed journals, 63 book chapters, 8 patents and 560 papers in international conferences. Since 2001, Dr. Kompatsiaris has participated in 88National and European research programs, in 31 of which he has been the Project Coordinator. He has also been the PI in 15 contracts from the industry. He has been the co-chair of various international conferences and workshops including the 13th IEEE Image, Video, and Multidimensional Signal Processing (IVMSP 2018) Workshop and has served as a regular reviewer, associate and guest editor for a number of journals and conferences currently being an associate editor of IEEE Transactions on Image Processing. He is a member of the National Ethics and Technoethics Committee, the Scientific Advisory Board of the CHIST-ERA funding programme and an elected member of the IEEE Image, Video and Multidimensional Signal Processing – Technical Committee (IVMSP – TC). He is a Senior Member of IEEE and ACM. Since January 2014, he is a co-founder of the Infalia private company, a high-tech SME focusing on data intensive web services and applications.<\/p>\n

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Abstract: AI-assisted Media Verification in the Age of Disinformation<\/h2>\n

Recent developments and events of worldwide significance such as the COVID-19 pandemic and the war in Ukraine have made clear that online disinformation is a long-lasting challenge of immense scale and complexity. To help journalists, fact-checkers and the broader civil society deal with this challenge, a number of AI-based methods and tools have appeared in recent years, including media forensics, deepfake detection, reverse image and video search, and the like. Yet, building and deploying such tools in actual operational settings is fraught with a number of issues. In this talk, I will be presenting our lab’s efforts in this area, the tools we have developed and our learning lessons and recommendations for future research.<\/p>\n

Click here to download the presentation.<\/span><\/a><\/p>\n<\/div>\n

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