Prof. Dr. Ratko Grbić
Prof. Dr. Ratko Grbić received his M.S. and Ph.D. degrees in 2005 and 2013, respectively, both from the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Croatia. He is currently working as an Associate Professor at the same institution here he teaches courses related to machine learning, internet of things and embedded systems. His research interests include machine learning, especially in the fields of image processing and computer vision, robotic vision, and automotive-related applications. As part of his scientific and research work, he has actively contributed to 10 research projects, co-invented 4 international patent applications, and authored 25 publications in international journals, along with 47 conference papers. Dr. Grbić's contributions have been recognized with awards, he was the best student in the third year of his profile at his home faculty and the best young researcher at his home faculty in 2014. As a co-author, he received the Special Merit Award and Best Paper Award at international conference Zooming Innovation in Consumer Electronics (ZINC) in 2021.
References
- Davorin Miličević, Ratko Grbić. “NM-Hebb: a two-phase neuromodulated Hebbian framework for convolutional neural network training”. Neurocomputing, 2026, Vol. 703, pp. 134741. DOI: 10.1016/j.neucom.2026.134741.
- Kelemen Matija, David Mijić, Mario Vranješ, Ratko Grbić. “CanPi”. 2026. DOI: 10.5281/zenodo.18700256.
- Denis Vajak, Mario Vranješ, Ratko Grbić, Denis Vranješ. “SMPPALD—Segmentation Mask Post-Processing Algorithm for Improved Lane Detection”. Sensors, 2025, Vol. 25, No. 19, pp. 6057. DOI: 10.3390/s25196057.
- Ines Momić, Ratko Grbić, Mario Vranješ, Matteo Brisinello. “Application for Face Super-Resolution Based on Generative Adversarial Networks”. In: 2025 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), IEEE, 2025, pp. 1-6. DOI: 10.23919/softcom66362.2025.11197425.
- Dunja Ćaleta, David Mijić, Mario Vranješ, Ratko Grbić. “Segmentation of the Drivable Area Using Front View Camera in Vehicle”. In: 2025 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), IEEE, 2025, pp. 1-7. DOI: 10.23919/softcom66362.2025.11197365.
- Rea Križanac, Mario Vranješ, Ratko Grbić, Denis Vajak. “A New Tool for Lane Line Annotation, a New Dataset and a Comparison of Existing Deep Learning-based Lane Line Detection Models”. In: 2025 International Symposium ELMAR, IEEE, 2025, pp. 261-268. DOI: 10.1109/elmar66948.2025.11194029.
- Ena Jurkić, Marijan Herceg, Mario Vranješ, Ratko Grbić. “Hand Gesture Detection Based on Non-audible Sound”. In: 2025 International Symposium ELMAR, IEEE, 2025, pp. 93-99. DOI: 10.1109/elmar66948.2025.11193745.
- Davorin Miličević, Ratko Grbić. “NM-Hebb: Coupling Local Hebbian Plasticity with Metric Learning for More Accurate and Interpretable CNNs”. 2025. DOI: 10.2139/ssrn.5413733.
Courses
NIT-AI-01
Basics of Image Processing and Computer Vision
Gain an in-depth understanding of the features of digital images and video signals and how to process images with suitable algorithms.
NIT-AI-02
Introduction to Artificial Intelligence and Machine Learning
Gain in-depth knowledge of data analysis and machine learning.