Peter Peer

Peter Peer is a Full Professor at the University of Ljubljana's Faculty of Computer and Information Science, where he leads the Computer Vision Laboratory. He serves as Executive Editor for ICT Express, Area Editor for IEEE Access and IET Biometrics, and coordinates dual-degree programs with Kyungpook National University. His administrative roles include membership in the Faculty Board of Directors (2018-present) and Senate (2021-present), and he previously served as Vice-Dean for Economic Affairs (2018-2022).

His research spans computer vision and biometrics, with specialization in privacy-enhancing technologies, deep learning applications, and multimodal recognition systems. Key focus areas include:

• Face/sclera/ear biometric recognition and segmentation
• Deepfake detection and media forensics
• Generative models for data privacy
• Efficient model optimization techniques

Publication analysis shows strong emphasis on biometric security (65% of recent works), privacy-preserving AI (25%), and generative modeling (10%), with applications spanning surveillance, forensics, and human-computer interaction. Awards highlight leadership in international biometric competitions and recognition for high-impact publications.

Significant scientific honors include:

• NIST FATE evaluation winner (2025)
• Top 3 placements in ACM/IEEE biometric competitions (2023-2024)
• IEEE Transactions top-downloaded articles (2022-2024)
• European Association for Biometrics awards (2021-2024)

He mentors 10+ PhD students working on biometric recognition, privacy preservation, and deep learning applications. Research is supported by national grants including DeepFake DAD (2023-2026) and MIXBAI (2023-2026), focusing on explainable AI and deepfake detection. Leads the Computer Vision Laboratory with international collaborations across Europe and Asia.