Yiannis Kompatsiaris
Director of CERTH-ITI, Greece
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 ΑΙ/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.
Abstract: AI-assisted Media Verification in the Age of Disinformation
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.
MEDES 2022 @ Venice
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Previous MEDES Editions
- MEDES 2021, Hammamet, Tunisia, November 1-3, 2021
- MEDES 2020, Abu Dhabi, UAE, November 2-4, 2020
- MEDES 2019, Limassol, Cyprus, November 12-14, 2019
- MEDES 2018, Tokyo, Japan, September 25-28, 2018
- MEDES 2017, Bangkok, Thailand, November 7-10, 2017
- MEDES 2016, Hendaye, France, November 2-4, 2016
- MEDES 2015, Caraguatatuba/Sao Paulo, Brazil, October 25-29, 2015
- MEDES 2014, Buraidha Al Qassim, KSA, September 15-17, 2014
- MEDES 2013, Neumunster Abbey, Luxembourg, October 28-31, 2013
- MEDES 2012, Addis Ababa, Ethiopia, October 28-31, 2012
- MEDES 2011, San Francisco, USA, November 21-23, 2011
- MEDES 2010, Bangkok, Thailand, October 26-29, 2010
- MEDES 2009, Lyon, France, October 27-30, 2009
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