Fran Huzjan, born in 1996 in Zagreb, Croatia, is a dedicated computer scientist whose expertise lies at the intersection of deep learning and image analysis. His academic journey commenced at the High School of Tituš Brezovački in Zagreb and advanced to the University of Zagreb’s Faculty of Electrical Engineering and Computing, where he pursued his undergraduate and postgraduate studies in computer science. In 2018, he graduated with a Bachelor’s degree, culminating his studies with a thesis titled “Optimization of GPS Attack Parameters with Evolutionary Algorithm”.
Building upon his solid academic foundation, Fran went on to complete his Master’s degree in 2020, focusing his research on “Parking Space Occupancy Detection.” During this phase, he actively contributed to the field through a machine learning internship at 3MI Lab spanning from September 2018 to August 2020. In this role, Fran took the lead in guiding a student team to harness the power of deep learning methodologies for parking space occupancy detection, thereby amassing valuable practical experience.
The year 2020 marked another turning point in Fran’s journey as he embarked on his Doctoral Studies in computer science under the mentorship of Professor Sven Lončarić, Ph.D., at the University of Zagreb’s Faculty of Electrical Engineering and Computing.
Presently, Fran’s research undertakings revolve around the realm of spray image analysis, employing cutting-edge deep learning techniques. His involvement in the RESIN project has further solidified his position as a collaborative researcher with the Faculty of Mechanical Engineering and Naval Architecture at the University of Zagreb. Within the framework of the RESIN project, Fran undertakes the development of a desktop application crucial for the analysis and processing of spray images. This involves the adept utilization of deep learning segmentation and regression models in tandem with computational geometry algorithms.
In his multifaceted academic role, Fran not only pursues his research endeavors but also imparts knowledge as a teaching assistant for key courses such as “Deep Learning” and “Scripting Languages.” His academic interests encompass a diverse spectrum, ranging from artificial intelligence and deep learning to machine learning, computer vision, image analysis, and image processing. Fran has also been involved in organizing several workshops and summer schools, and he has authored a Q2 journal publication and a conference paper.
In July of 2023, Fran obtained his Ph.D. with magna cum laude honors. His doctoral thesis, titled “Deep learning-based analysis of fuel spray images” proposes state-of-the-art deep learning methods for the analysis of fuel spray images.