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Gian Luca Marcialis is an Associate Professor at the University of Cagliari, leading the Biometric Unit of the Pattern Recognition and Applications Laboratory (PRA Lab) within the Department of Electrical and Electronic Engineering. He holds an M.S. and Ph.D. in Electronic Engineering and Computer Science from the University of Cagliari (2000 and 2004). His research focuses on biometric security, including fingerprint presentation attack detection, facial deepfake detection, and crowd anomaly analysis. Key areas include multimodal biometric systems, liveness detection in authentication, and the ethical implications of AI in forensics. Marzialis has contributed to initiatives like the LivDet competitions and BullyBuster project against cyberbullying. His work integrates machine learning with real-world applications in surveillance, healthcare, and public safety, emphasizing both technical innovation and societal impact.

• Biometrics
• Presentation Attack Detection
• Facial Recognition
• +4 more

Giulia Orrù is an Assistant Professor of Computer Engineering at the University of Cagliari, Italy, affiliated with the Department of Electrical and Electronic Engineering. She holds an M.S. and Ph.D. in Electronic Engineering and Computer Science from the same institution. Her research focuses on biometric recognition, presentation attack detection, deepfake forensics, and cybersecurity. She is a core member of the Pattern Recognition and Applications Laboratory (PRA lab), contributing to projects like BullyBuster (anti-bullying detection systems) and LivDet competitions (fingerprint liveness detection). Dr. Orrù has authored numerous publications in top-tier conferences and journals, with a strong emphasis on advancing secure authentication systems and combating adversarial attacks in biometrics. She actively serves as a referee for pattern recognition and cybersecurity venues. Teaching activities include courses such as Technologies for Information Security and Artificial Intelligence and Security . Research interests span multimodal biometrics, 3D face reconstruction for surveillance, AI-driven anti-bullying systems, and deepfake detection algorithms. Her work bridges theoretical advancements (e.g., diffusion models for anomaly detection) with real-world applications like forensic recognition and crowd analysis. Notable projects include the Synthetic Data for Face Recognition (SdFR) initiative and contributions to the Face Deepfake Detection Challenge. Dr. Orrù's lab explores cutting-edge techniques in EEG-based personal recognition and vulnerability analysis of medical AI systems. She maintains active participation in international research networks and has developed open-source tools for evaluating biometric system resilience against spoofing attacks.

• Biometric Recognition
• Presentation Attack Detection
• Deepfake Forensics
• +5 more

Patrizio Campisi is a Full Professor in the Section of Applied Electronics at the Department of Engineering, Roma TRE University, Rome, Italy. He leads cutting-edge research in digital signal and image processing with applications to secure multimedia communications and biometrics. He has held visiting positions at the University of Toronto, Beckman Institute (UIUC), and École Polytechnique de Nantes, and has been a Marie Curie Fellow (2010–2014). His educational background includes a Laurea (summa cum laude) in Electronic Engineering from Sapienza University of Rome and a Ph.D. in Electrical Engineering from Roma TRE University. His research focuses on secure biometric recognition (signature, keystroke, EEG, vein), digital watermarking, blind image deconvolution, HDR imaging, and privacy-preserving technologies. He has contributed significantly to template protection, multimodal biometrics, and forensic image analysis. His work bridges engineering, computer science, and security, with strong applications in mobile authentication, border control, and social media safety. The recent publications reflect a strong trend in biometrics, image forensics, and privacy-enhancing technologies, with a focus on real-world applications in mobile systems, healthcare, and law enforcement. Key themes include secure authentication, de-identification, and computational imaging. IEEE Second International Conference on Biometric Systems 2008 Best Student Paper Award IEEE Biometric Symposium 2007 Best Paper Award IEEE International Conference on Image Processing 2006 Best Student Paper Award Marie Curie Fellow (2010–2014) NATO-CNR Advanced Fellowship (2003) IEEE Senior Member Prof. Campisi has supervised numerous students and leads the BioMedia4n6 lab. He has secured major EU grants including H2020 projects AMBER, COSMOS, and ENCASE. His editorial leadership includes serving as Editor-in-Chief of IEEE Transactions on Information Forensics and Security (2018–2020) and Chair of the IEEE Information Forensics and Security Technical Committee (2017–2018). He is actively involved in research networks such as COST Actions on de-identification and biometrics-forensics integration, and has contributed to EU policy via the BEST Thematic Network on biometrics and fundamental rights. His lab, BioMedia4n6, focuses on biometrics, multimedia forensics, and privacy-aware systems.

• Digital Signal Processing
• Image Processing
• Biometrics
• +12 more

Emanuele Maiorana is an Assistant Professor (tenure track since 2023) at the Department of Engineering, Roma Tre University, Italy. He received his Laurea Degree cum laude in Electronics Engineering from Roma Tre University in 2004 and a Ph.D. with European Doctorate Label in 2009. His academic journey includes research engineering roles before transitioning to faculty. Research Focus: Specializes in digital signal/image processing with applications to: Biometric systems security and template protection Multimedia communications and telecommunication security HDR imaging, video watermarking, and stereo image enhancement Video textures synthesis and analysis Awards & Honors: Premio Galluzzi 2004 IEEE Lockheed Martin Best Paper Award (2007) IEEE Honeywell Student Best Paper Award (2008) Professional Service: General Chair for IEEE WIFS 2024, IEEE IWBF 2021, IAPR WMWB 2021 Associate Editor for IEEE Transactions on Information Forensics and Security Former Chair of EURASIP BForSec Technical Area Committee Teaching: Courses include Signal Processing for Big Data Analytics and Telecommunication Services and Networks Planning and Management at the Laurea Magistrale level. Research Projects: EU MSCA-ITN-2015 AMBER (Biometrics) EU MSCA-RISE-2015 ENCASE (Security/Privacy) FP7 projects SANDRA, JEOPARD, MINERVAA (Avionic Systems)

• Biometric Recognition
• Biometric Template Protection
• Digital Signal Processing
• +7 more

Gabriel E. Hine is a Postdoc researcher at the Biometric Systems and Multimedia Forensics Lab within the Department of Engineering at Roma Tre University, Italy. He is actively engaged in research at the intersection of signal processing, biometrics, and information security, and contributes to teaching in advanced signal processing and biometric systems. Bachelor’s Degree in Electronic Engineering, Roma Tre University (2013, cum laude) Master’s Degree in Information and Communication Technology Engineering, Roma Tre University (2015, cum laude) PhD in Applied Electronics, Roma Tre University (2018) Research collaboration at Telefonica I+D, Barcelona (2016) Research involvement in EU H2020 ENCASE and PRIN 2011/2012 projects His research focuses on biometric cryptosystems, template protection, and privacy-preserving biometric recognition, with significant contributions to fingerprint, palmprint, EEG, and signature-based systems. He has also conducted influential work on online social media dynamics, particularly analyzing 4chan’s /pol/ forum. The analysis of his recent publications reveals a strong trend in developing secure and unlinkable biometric templates using deep learning, sparse signal representations, and zero-leakage frameworks. His work spans both theoretical formulation and experimental validation on real-world data, particularly in finger-vein and palm-vein recognition. He also explores novel biometric modalities such as in-air 3D signatures and resting-state EEG. Best Paper Runner-Up, ICWSM-17 (2017) Selected as 'Best of Arxiv' paper Widely covered in Nature , MIT Technology Review , The Independent , Vice , and Italian media Hine has served as a lecturer and teaching assistant for courses including 'Biometric Systems' and 'Signal Theory' at Roma Tre University. He has led a didactic laboratory on biometric systems, guiding students in implementing and analyzing biometric recognition solutions. His research is supported by major grants such as EU H2020 ENCASE and PRIN 2011/2012. He collaborates extensively with Prof. Patrizio Campisi and other researchers in the BioMedia4n6 lab. He is a core member of the BioMedia4n6 research group, which specializes in biometrics, data hiding, and blind deconvolution, applying advanced signal processing techniques to multimedia forensics and security challenges.

• Biometrics
• Signal Processing
• Information Security
• +13 more