Borut Batagelj

Borut Batagelj is Assistant Professor at the University of Ljubljana, Faculty of Computer and Information Science, and an active member of the Image-Based Biometry Group in the Computer Vision Laboratory. His expertise lies in pattern recognition, computer vision, and machine learning, with a strong focus on biometric forensics, face recognition, and deepfake detection.

Education:

• Ph.D. in Computer Science, University of Ljubljana, Faculty of Computer and Information Science, 2007
• M.Sc. thesis: Iskanje obrazov na osnovi barv s pomočjo statističnih metod razpoznavanja vzorcev, 2004

Research Interests revolve around forensic methods for detecting deepfakes and face-morphing attacks, biometrics from surveillance imagery, and interactive computer-vision systems for education and art. He employs anomaly-detection techniques, deep generative models, and real-time image analysis to advance these fields.

His publication trend over the past decade shows a steady output spanning from theoretical pattern-recognition studies to practical forensic applications and multimedia art preservation. Notable themes include biometric security, educational technology, and augmented-reality visualization.

Research Grants & Projects:

• Principal investigator: ARRS project J2-50065 “DeepFake DAD” (Deepfake Detection via Anomaly Detection), 2023–2026
• Co-investigator: ARRS research programme P2-0214 “Computer Vision”, 2019–2024
• Co-investigator: ARRS project J2-1734 “FaceGEN” (Face De-identification with Deep Generative Models), 2019–2022
• Co-investigator: ARRS project J7-3158 “Sustainable digital preservation of the Slovenian new-media art”, 2021–2024
• Earlier: ARRS projects on superquadric segmentation, interactive installations, and educational games.

Laboratory & Team: He collaborates closely within the Computer Vision Laboratory, particularly the Image-Based Biometry Group, fostering interdisciplinary work between security applications and interactive media.