BEYOND DETECTION: UNCERTAINTY, QUALITY, AND MULTI-SOURCE REASONING FOR OPERATIONAL MULTIMEDIA FORENSICS

is Associate Professor at the Department of Information Engineering of the University of Florence. He is also head of FORLAB – Multimedia Forensics Laboratory of the University of Florence. His research interests lie in the areas of Information Forensics and Security, and of Image and Video Processing. In the first topic, he was interested in data hiding, signal processing in the encrypted domain, image and video forensic techniques. In the second area, he was interested in the design of image and video processing and analysis techniques for Cultural Heritage, medical and industrial applications. In the above research topics he has been co-author of more than 60 papers published in international journals and 120 papers published in international conference proceedings, with h-index 43 according to Scopus. He is IEEE Fellow.

received a Ph.D. in Telecommunications from the University of Vigo in 1993 and has been a Full Professor at the Department of Signal Theory and Communications since 2000, coordinating the GPSC research group since 1995. From 2009 to 2011, he held the Prince of Asturias Chair at the University of New Mexico and served as Manager of the National Research Plan between 2007 and 2010. He was the promoter and first Managing Director of Gradiant (2007–2014) and founded seven ICT companies, whose surviving firms employ around 150 engineers. He is the author of 65 international journal articles and over 170 conference papers, and has supervised 10 Ph.D. theses. He holds 14 patents, has led numerous European and industrial projects, and has been an IEEE Fellow

is an Associate Professor at the University of Trento, where she conducts research in multimedia signal processing and multimedia forensics. Giulia Boato received her Ph.D. in Information and Communication Technologies and has held research and academic positions both in Italy and abroad. Her research interests include multimedia security, image and video forensics, quality assessment, and analysis of visual data, with applications spanning security and digital media authenticity. She has authored numerous peer-reviewed journal and conference publications and is actively involved in international research collaborations and projects.

is an Associate Professor at Sapienza University of Rome, where she leads the Computer Vision and Multimedia Forensics Research Team at ALCORLab. Irene Amerini received her Ph.D. in Computer Engineering from the University of Florence with a thesis on image forensics, source identification, and tampering detection. She previously held research positions at Sapienza University of Rome and the University of Florence and was a Visiting Research Fellow at Charles Sturt University, Australia. Her research interests include computer vision, adversarial machine learning, and multimedia forensics, and she is actively involved in IEEE, EURASIP, and IAPR technical committees.

received his Ph.D. in Computer Science from Friedrich-Alexander University Erlangen-Nürnberg in 2012 and completed his habilitation in 2020. He is a senior researcher and head of the Multimedia Security Group at FAU, and currently serves as interim Professor of Applied Cryptography. His research focuses on image and video forensics, machine learning security, and robust image analysis, with strong emphasis on trustworthy and secure AI systems. He has authored a large body of high-impact journal and conference publications and has received over 11,000 citations. His work has been recognized by multiple best paper and reviewer awards, and he is an active contributor to the international multimedia forensics community.

received his Ph.D. in Biometrics from the Warsaw University of Technology in 2005 and his habilitation in Computer Science in 2018. He is a tenured Associate Professor at the University of Notre Dame, where he also serves as the founding Director of the AI Trust and Reliability Lab (AITAR). His research focuses on biometrics and trustworthy AI, with particular emphasis on iris recognition, presentation attack detection, and human–machine teaming. He has authored numerous high-impact journal and conference publications, supervised multiple Ph.D. students, and holds several granted and pending U.S. patents. He is the recipient of an NSF CAREER Award and an active member of IEEE and the international biometrics research community.

is a Full Professor at Lucian Blaga University of Sibiu, where he is affiliated with the Department of Computer Science and Electrical Engineering. Remus Ovidiu Brad received his Ph.D. in Computer Science from the Technical University of Cluj-Napoca, with research focused on image processing and motion detection, and completed his habilitation in Computer Science and Engineering in 2015. He has held academic positions at ULBS since 1993 and has also served for many years as Director of the University’s IT and Communications Directorate. His research interests include image processing and computer vision, artificial intelligence, computer networks, and embedded systems, with strong engagement in doctoral supervision and academic leadership.

is a Postdoctoral Researcher at IDLab-MEDIA, where he conducts research in multimedia security and forensics. He obtained his Ph.D. between 2017 and 2021 with financial support from the Research Foundation – Flanders (FWO). His doctoral research focused on video watermarking for tracing digital piracy, alongside work on image and video forgery detection, fingerprinting, and perceptual hashing. His broader expertise includes optical character recognition, dense captioning, low-delay live streaming, and medical image analysis. He is also active in science communication for non-experts and has received several awards, including the Agoriaprijs, two Best Poster Awards, the #ThesisThread competition prize, and a bronze trophy in the Vlaamse PhD Cup.

is an Analytics & Information Coordinator at the Police of the Czech Republic, where he focuses on the use of data analytics to support operational and investigative decision-making. He participated in international collaborative projects such as the EU Horizon 2020 ROXANNE and the RELIEF, supporting the application of analytics in law enforcement practice. In 2002, he received an Ing. (M.Sc.) degree in Telecommunications and Radiotechnology from the Faculty of Electrical Engineering, Czech Technical University in Prague. His work bridges advanced analytical methods with real-world policing needs, contributing to evidence-based and data-driven security solutions.

is a senior researcher and has led the Department of Image Processing at the UTIA institute since 2008, serving also as an associate professor at Charles University and the Czech Technical University in Prague. Her research in digital image processing and AI focuses on data fusion, object detection, and deep learning, with high-impact applications in forensic imaging. Bringing deep operational expertise to the workshop, she has been instrumental in three major national forensic projects involving universities, academic institutions and SMEs, leading the last one as principal investigator, all executed in direct cooperation with the Czech Police. Furthermore, she serves as an official expert for the European Union, evaluating high-level research projects in forensics and security application area.

received his Ph.D. from the Czech Technical University in Prague, Czech Republic, in 2008. Since then, he has been a researcher in the Department of Image Processing at UTIA, where he has built an international reputation for his contributions to image forensics and machine learning. He is an award-winning scientist with extensive experience spanning both academic and commercial projects. His research focuses on image forensics, visual search, and small-data supervised learning, and he has served as principal investigator on several national as well as EU H2020 and Horizon projects, including initiatives such as VIGILANT, aimed at visual content verification and combating disinformation.

is a research fellow and deputy head of the Department of Image Processing at the Institute of Information Theory and Automation (UTIA), The Czech Academy of Sciences, where he develops applied computer vision and machine learning methods for forensic, industrial, and medical imaging. His research focuses on image forensics and robust visual analysis, including the detection of manipulated imagery and automated object and human detection and tracking. He has international experience from a postdoctoral appointment at TU Wien and has contributed to several competitive national and EU projects in multimedia verification and related security applications. In addition, he leads practical exercise sessions in machine learning and digital image processing at Czech Technical University and Charles University.