Marija Ivanovska, PhD
Assistant
Laboratory of Machine Intelligence (LMI)
Faculty of Electrical Engineering, University of Ljubljana
Tržaška cesta 25
SI-1000 Ljubljana, Slovenia
E-mail: marija.ivanovska@fe.uni-lj.si
Short bio [PDF]
Positions
Assistant, University of Ljubljana, Laboratory for Machine Intelligence (2019 – present)
Visiting Assistant, Queensland University of Technology, SAIVT Lab (2024)
Visiting Scholar, Johns Hopkins University, VIU Lab (2022)
Research
Research interests:
• Computer Vision • Biometrics • Image Forensics • Data Privacy and Security • Applied AI •
Selected publications:
- Emergent Morphing Attack Detection in Open Multi-modal Large Language Models; Marija Ivanovska, Vitomir Štruc; arXiv preprint, 2026
- Exploring Multimodal Large Language Models for Morphing Attack Detection; Nikola Marić, Marija Ivanovska, Vitomir Štruc; Computer Vision Winter Workshop (CVWW), 2026
- SelfMAD++: Self-supervised foundation model with local feature enhancement for generalized morphing attack detection; Marija Ivanovska, Leon Todorov, Peter Peer, Vitomir Štruc; Information Fusion, 2026
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Service
- Area Chair of the FG Special Session on Trustworthy Face and Gesture Recognition in Extended Reality (TRUST-XR), 2027
- Area Chair of the FG Special Session on Attack to Defense in Biometrics (A2D-BIOM), 2027
- Chair of the WACV Workshop on Synthetic Realities and Data in Biometric Analysis and Security (SynRDinBAS), 2027
- Web Chair at IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2027
- Web Chair at IEEE International Joint Conference on Biometrics (IJCB), 2027
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Research Opportunities for Students 2026/27
Open research topics for local, exchange, and visiting students interested in joining ongoing work:
- Biometric Attacks & Synthetic Media: deepfakes, morphing and presentation attacks, fake ID documents
- Synthetic Data for Biometrics: generation, evaluation, privacy, and security
- Generalizable & Explainable AI: robust anomaly/attack detection, foundation models, and interpretable decisions
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Thesis Supervision
I supervise theses in computer vision, biometrics, image forensics, and applied machine learning.
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Teaching
Undergraduate courses: 64622 Signal Analysis, 64125 Signal Processing
Master courses: 64206 Computer Vision, 64250 Artificial Intelligence Systems, 64276 Advanced Computer Vision Methods, 64277 Intelligent Audio and Speech Systems