Charalampos Dimoulas
Aristotle University of Thessaloniki, Department of Electrical and Computer Engineering, Research collaborator
Dr. Charalampos A. Dimoulas holds a diploma degree (1997) and a PhD degree (2006), both received from the School of Electrical & Computer Engineering, AUTH. In 2008, he received scholarship on post-doctoral research at the Laboratory of Electronic Media, School of Journalism and Mass Communications, AUTH. Both his doctoral dissertation and his post-doc research deal with advanced audio-visual processing and content management techniques for intelligent analysis of prolonged multi-channel recordings. He was elected Lecturer (November 2009), Assistant (June 2014), Associate Professor (Oct. 2018), and Professor (Oct. 2022) of Electronic Media Technology in the School of Journalism and Mass Communications, AUTH, where he is currently serving.
He is a founding member of the multidisciplinary research group M3C (Multidisciplinary Media & Mediated Communication research, http://m3c.web.auth.gr/) and, since June 2022, has been the director of the Laboratory of Electronic Media, School of Journalism and Mass Communications, AUTh. He also participates in the Greek media misinformation observatory (https://ellpap.gr/). Since 2020, he has been a member of the Editorial Board of the Journal of the Audio Engineering Society (JAES) in signal processing and semantic audio topics (https://www.aes.org/journal/ed_board.cfm). Since November 2020, he has been the Secretary General of the Hellenic Institute of Acoustics (https://helina.gr/en/the-institute/administration/). During 2013-15, he was the leader of the “audiovisual team” for the Pandora robotic vehicle (pandora.ee.auth.gr) project, mainly focusing on audio detection – localization and machine vision tasks. Dr. Dimoulas has participated in over thirty (30) national and international research projects during the last twenty (20) years and also in many respective scientific publications. His current scientific interests include media technologies, audiovisual signal processing, machine learning, multimedia semantics, cross-media authentication, digital audio and audiovisual forensics, and more. He teaches graduate and post-graduate courses in the School of Journalism and Mass Communications AUTh, the School of Electrical and Computer Engineering AUTh, the Hellenic Open University, and other programs. Dr. Dimoulas is a member of the Technical Chamber of Greece (TEE), HELINA, IEEE, and AES.
He is a founding member of the multidisciplinary research group M3C (Multidisciplinary Media & Mediated Communication research, http://m3c.web.auth.gr/) and, since June 2022, has been the director of the Laboratory of Electronic Media, School of Journalism and Mass Communications, AUTh. He also participates in the Greek media misinformation observatory (https://ellpap.gr/). Since 2020, he has been a member of the Editorial Board of the Journal of the Audio Engineering Society (JAES) in signal processing and semantic audio topics (https://www.aes.org/journal/ed_board.cfm). Since November 2020, he has been the Secretary General of the Hellenic Institute of Acoustics (https://helina.gr/en/the-institute/administration/). During 2013-15, he was the leader of the “audiovisual team” for the Pandora robotic vehicle (pandora.ee.auth.gr) project, mainly focusing on audio detection – localization and machine vision tasks. Dr. Dimoulas has participated in over thirty (30) national and international research projects during the last twenty (20) years and also in many respective scientific publications. His current scientific interests include media technologies, audiovisual signal processing, machine learning, multimedia semantics, cross-media authentication, digital audio and audiovisual forensics, and more. He teaches graduate and post-graduate courses in the School of Journalism and Mass Communications AUTh, the School of Electrical and Computer Engineering AUTh, the Hellenic Open University, and other programs. Dr. Dimoulas is a member of the Technical Chamber of Greece (TEE), HELINA, IEEE, and AES.
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