
Artificial Intelligence Laboratory
University of Rijeka – Faculty of Engineering
Department of Computer Engineering
Vukovarska 58, 51000 Rijeka, Croatia
Researchers

prof. Ivan Štajduhar, Ph.D.
ivan.stajduhar@uniri.hr
+385 51 651 448
personal webpage

Franko Hržić, Ph.D.
postdoctoral researcher
franko.hrzic@riteh.uniri.hr
+385 51 505 725

Mateja Napravnik, Ph.D.
postdoctoral researcher
mateja.napravnik@riteh.uniri.hr
Associates

Teo Manojlović
Ph.D. student

Mária Krajčí
Ph.D. student

Mateo Mikulić
Ph.D. student

Luka Ilijanić
research associate

Dominik Vičević
Ph.D. student
Alumni associates
- Arian Skoki, Ph.D. student
- Robert Baždarić, D.Sc., postdoctoral researcher
Recent projects
- SMART-HOTEL 360, Ministry of Regional Development and EU Funds IP.1.1.03.0160 (2025-2027)
- Building a Multimodal Foundation Model for Medical Radiology, University of Rijeka grant uniri-iskusni-tehnic-23-12 2947 (2024-)
- Optical Diagnostics of Dermal Infections (OPTIDERM), bilateral research project funded by Croatian Science Foundation (IP-2022-10-2433) and Slovenian Research Agency (N3-0348) (2023-2027)
- Transversal Skills in Applied Artificial Intelligence (TSAAI), Erasmus+ 2021-1-ES01-KA220-HED-000030125 (2022-2025)
- Summer School on Image Processing SSIP 2021
- Machine Learning for Knowledge Transfer in Medical Radiology (RadiologyNET), Croatian Science Foundation research project IP-2020-02-3770 (2021-2024)
- Adria Smart Room, HAMAG-BICRO KK.01.2.1.02.0303 (2020-2023)
- Hyperspectral Image Analysis Using Machine Learning and Adaptive Data-Driven Filtering, bilateral project in cooperation with the Medical Physics Group at the Faculty of Mathematics and Physics, Ljubljana, Slovenia (2020-2022)
- Development of machine-learning-based techniques for illness and injury detection in medical images, University of Rijeka grant uniri-tehnic-18-15 (2019-2023)
- Computer-aided digital analysis and classification of signals, University of Rijeka grant uniri-tehnic-18-17 (2019-2023)
- Thorax motion supervision in radiotherapy using machine learning techniques, bilateral project in cooperation with the Medical Physics Group at the Faculty of Mathematics and Physics, Ljubljana, Slovenia (2018-2019)
- kneeMRI dataset
Research equipment


Teaching eqipment



