Luca Guarnera is a Research Fellow (Type A – RTDa) in Computer Science at the Department of Mathematics and Computer Science, University of Catania, since January 1, 2022.
From January 1, 2022, to
September 30, 2024, he served as a Researcher (RTDa) at the same department, working on intelligent monitoring systems and environmental mapping using drones and sensors (Action IV.4 – Innovation), in collaboration with the spin-off company iCTLAB srl
(www.ictlab.srl), under the supervision of Prof. Sebastiano Battiato. Since October 1, 2024, he has continued as an RTDa within the same department, working on the FF4LL project – Detection of Deep Fake Media and Life-Long Media Authentication, funded by
NextGenerationEU, focusing on deepfake attribution and recognition, also under the supervision of Prof. Sebastiano Battiato.
He earned his Ph.D. in Computer Science on October 14, 2021, defending a thesis on deepfakes and multimedia forensic investigations. He received his M.Sc. degree (cum laude) in Computer Science in 2017 and his B.Sc. degree in 2015.
He has been a member of the IPLab research group since 2015.
Since 2022, he has been involved in the organization of various prestigious international events (Technical Program Committees, challenges, tutorials). He was a speaker at the International Forensics Summer School (IFOSS) in 2022
and a member of the organizing team for several international summer schools (ICVSS, MISS). He has published numerous papers in international journals and conferences and regularly serves as a reviewer for international scientific journals.
He is Guest Editor of the Special Issue Multimedia Forensics in Practice: Detecting and Interpreting Synthetic Media (MF-DISM) in Computer Vision and Image Understanding (CVIU) , published by Elsevier. Since January 13, 2025, he has been serving on the Editorial Board as Associate Editor of the international journal The Visual Computer (Journal ranking – Scopus: Q1), published by Springer.
He was Guest Editor for the Special Issue Advancements in Deepfake Technology, Biometry Systems, and Multimedia Forensics in the MDPI Journal of Imaging.
His main research interests include Computer Vision, Machine Learning, and Multimedia Forensics, with a primary focus on the development of deepfake detection algorithms based on the identification and analysis of intrinsic traces left during the creation process in images, videos, audio, and, more generally, multimodal data.