
Peter Rot, PhD
researcher
Laboratory for Machine Intelligence (LMI)
Faculty of Electrical Engineering, University of Ljubljana
Tržaška cesta 25
Si-1000 Ljubljana, Slovenia
Tel.: +386 1 4768 839
Fax.: +386 1 4768 316
E-mail: peter(dot)rot(at)fe(dot)uni-lj(dot)si
Peter Rot received his PhD in Computer and Information Science from the University of Ljubljana (Faculty of Computer and Information Science – UL FRI) in 2024. He is a member of the Laboratory for Machine Intelligence at the Faculty of Electrical Engineering at University of Ljubljana – UL FE and Computer Vision Laboratory at the UL FRI.
Research interests
- Computer vision
- Generative models
- Biometrics
- Privacy-preserving AI
- Explainable AI
Education
- PhD in Computer and Information Science, UL FRI, 2019–2024
- MSc in Computer and Information Science, UL FRI, 2015–2018
- BSc in Computer and Information Science, UL FRI, 2012–2015
Awards & recognitions
- Outstanding Reviewer, IEEE/CVF WACV, 2025.
- Third place, ACM Multimedia Grand Challenge – 1M-Deepfakes Detection Challenge 2024.
- Max Snijder Research Award (2024), European Association for Biometrics (EAB), Darmstadt, Germany.
- Faculty Award for Research Work (2021) for the paper “Privacy-Enhancing Face Biometrics: A comprehensive Survey”, published in IEEE TIFS.
- University Prešeren Award (2018) for Master’s thesis.
- Winner, Sclera Segmentation Benchmarking Competition, IAPR ICB, 2018.
- Winner, Sclera Segmentation and Eye Recognition Benchmarking Competition, IEEE/IAPR IJCB, 2017.
Professional service
- Reviewer for journals: IEEE TIFS, IVC, ESWA, AI & Ethics, IEEE Access, IET Image Processing, Neurocomputing, IEEE TDSC, EURASIP JIVP, IEEE TPAMI, IF, EAAI
- Reviewer for conferences: IEEE/CVF WACV, IEEE ICASSP, International Electrotechnical and Computer Science Conference (ERK), BMVC, IEEE IJCB, Computer Vision Winter Workshop (CVWW)
Memberships
- IEEE
- European Association for Biometrics (EAB)
- International Association for Pattern Recognition (IAPR)
- SDRV (Slovenian branch of IAPR)
- SDJT (The Slovenian Language Technologies Society)
Projects
- Mechanistic Interpretability for Explainable Biometric Artificial Intelligence (MIXBAI), basic research project, ARIS, 2024 – 2026
- Deep generative models for beauty and fashion (DeepBeauty), basic research project, ARRS, 2020 – 2024
- Face deidentification with deep generative models (FaceGEN), basic research project, ARRS, 2019-2022