Prof. Dr. Mario Vranješ
Prof. Dr. Mario Vranješ received MSc and PhD degrees in electrical engineering from the Faculty of Electrical Engineering, Computer Science and Information Technology, University of Osijek, Croatia in 2006 and 2012, respectively. Today, he works as an associate professor at the same faculty and teaches several different courses in the areas of digital image and video processing, image and video compression, computer vision and machine learning. In his research work, he primarily deals with the field of computer vision and machine learning with an emphasis on automotive applications. So far, he has led more than 10 scientific research projects related to his research areas. As part of his scientific and research work, he has published more than 80 publications in high-ranking international journals and at international conferences where he has presented a large number of papers. Dr. Vranješ is a co-inventor on several international patents. During his scientific career, he visited foreign institutions several times in order to improve his knowledge and skills. Due to the results achieved during his studies and his scientific research work, he was awarded several times as the best student of his home faculty and as the best researcher at his home faculty.
References
- Kelemen Matija, David Mijić, Mario Vranješ, Ratko Grbić. “CanPi”. 2026. DOI: 10.5281/zenodo.18700256.
- Irena Galić, Mario Vranješ. “Prof. Goran Martinović, PhD”. International journal of electrical and computer engineering systems, 2026.
- 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.
- Matej Štajnbrikner, Igor Valek, Tomislav Matić, Mario Vranješ. “FPGA‐Based Deep Neural Network Implementation for Handwritten Digit Recognition”. Advances in Multimedia, 2025, Vol. 2025, No. 1, Article 8901861. DOI: 10.1155/am/8901861.
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.