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Biography
Dominik Knez was born on 29th of April 2000 in Zagreb, where he completed his primary education at “Pavleka Miškine” Elementary School and secondary education at the Sixth Gymnasium, Zagreb. In 2019, he began his studies at the Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, and in 2020, he continued his education at the Faculty of Transport and Traffic Sciences, University of Zagreb, specializing in Intelligent Transport Systems. In 2025, he obtained his Master of Engineering in Transport and Traffic degree with highest honor (SUMMA CUM LAUDE). He graduated with a master’s thesis entitled “Solving the Periodic Vehicle Routing Problem with Time Windows” (mentor: Tomislav Erdelić, PhD). Upon completion of his graduate studies, he enrolled in the postgraduate doctoral program at the Faculty of Transport and Traffic Sciences, University of Zagreb, where he is currently a doctoral student. In January 2026, he began working at the Faculty of Transport and Traffic Sciences, University of Zagreb, as a substitute assistant.
During his studies, he participated in several scientific research and development projects. Notably, he contributed to the development of a mobile application for public transport passenger information, where he implemented a multi-layered information system using React Native for Android and iOS platforms. He developed the API and server-side logic using Python Flask, connected to an MS SQL database and GTFS/GTFS-RT data sources, implementing real-time functionalities such as vehicle arrival displays, position tracking, arrival time prediction, and user notifications. Based on his final thesis, he also developed a web application for visualizing the shortest routes based on travel time and energy consumption, using Dijkstra’s algorithm, the C# programming language, and the Visual Studio development environment. He also took part in the Transportikum 2023 project, where, as part of a team, he developed a solution for a logistics challenge posed by Atlantic Grupa, which was awarded first place.
For his academic and research achievements, he has received multiple awards, including two Rector’s Awards (for individual and team scientific work), two Dean’s Awards for outstanding performance in graduate studies, and two City of Zagreb Scholarships for Excellence. He is proficient in English (C1) and German (B2). His technical skills include programming in C#, Python, and SQL, and working with tools such as MATLAB, PTV VISSIM and VISUM, QGIS, AutoCAD, SolidWorks, React Native, and others. His scientific and professional interests focus on optimization methods, algorithmic approaches, machine learning, and data analysis in the field of transport systems.

