Valerijan Matvejev

Valerijan Matvejev graduated from the Faculty of Electrical Engineering at the University of Belgrade, specializing in Software Engineering. He continued his master’s studies as a scholarship recipient at the Polytech Nantes engineering school in Nantes, France, where he earned a master’s degree in Computer Vision. His master’s thesis, along with related scientific research, focused on predicting the memorability of visual content using machine learning models, under the mentorship of Prof. Dr. Dražen Drašković. Additionally, his research included work with medical images, recognition of handwritten mathematical expressions, and the popularization of science. Valerijan has been a guest lecturer multiple times at the Petnica Science Center, participating in the computing seminar and the interdisciplinary seminar. He has also held several scientific talks at the Belgrade Youth Center, where he presented his work and ideas in the fields of computer vision and artificial intelligence.

He is currently pursuing doctoral academic studies at the Faculty of Electrical Engineering in Belgrade. His research focuses on developing algorithms for satellite image processing and applying artificial intelligence in the field of computer vision, with the goal of improving the accuracy of analysis and interpretation of digital satellite images. He is currently employed as a junior researcher at the Center for Information Technologies at the BioSense Institute. His goal is to continue his PhD studies abroad through a cotutelle program, aiming to strengthen international collaboration and enhance his research on a global scale.

Valerijan strives to combine his technical knowledge with practical applications in various domains. His passion for research, education, and interdisciplinary projects contributes to his vision of advancing existing technologies in the fields of computer vision and computing through innovative solutions. He is also a co-author of a scientific paper titled “Development of a Web System with an Automated Question Generator Based on Large Language Models”, published in 2024.