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Biography
Tomislav Erdelić was born on the 23rd of December 1990. in Zagreb, where he attended and finished elementary and high school. In 2009. he continued his education at the Faculty of Electrical Engineering and Computing, University of Zagreb, profile Control engineering and automation, where he received his M.Sc. degree with honor (cum laude). He graduated on the topic „Methods for dynamic path planning in multi-vehicle laboratory setup“ (mentor: professor Stjepan Bogdan, Ph.D.). In November 2014. he started to work as a young researcher on the research project “System for route optimization in dynamic transport environment RC.2.2.08-0022” funded by the European Regional Development Fund. In January 2016. he was selected as an assistant in the engineering sciences, field technology of traffic and transport, at the Faculty of Transport and Traffic Sciences, University of Zagreb. He obtained the title of doctor of science by finishing the postgraduate doctoral study “Technological systems in traffic and transport” at the Faculty of Transport Sciences in October 2021 with the thesis titled “Solving the Electric Vehicle Routing Problem Using a Hybrid Adaptive Large Neighborhood Search Method” under the mentorship of prof. Tonči Carić, Ph. D. with a grade of summa cum laude. In January 2016, he was appointed to the assistant professor position in the field of technical sciences, area of transport and traffic technology, at the Faculty of Transport and Traffic Sciences, University of Zagreb.
His research interests include optimization methods, data mining methods, and machine learning methods in the field of transport and traffic. To date, he has published 9 papers in journals indexed in the Web of Science database and 21 papers at international and national scientific conferences. He has participated in a total of 13 projects, among which two funded by European funds stand out: the scientific and development project SORDITO and the development project OJP4DANUBE (Coordination Mechanisms for Multimodal Cross-Border Traveller Information Network Based on OJP for the Danube Region), funded by the Interreg program. He was the principal investigator of two projects funded through the support program for senior assistants at the Faculty of Transport and Traffic Sciences, University of Zagreb. He is a member of the EU COST Action CA22137 – ROAR-NET and was a member of the IEEE organization in 2023. He completed training at four international summer schools in the fields of optimization and machine learning: VeRolog 2018 (Cagliari, Italy), First ROAR-NET Training School 2025 (Luxembourg), and Data Science Summer Schools 2017 and 2019 (Split, Croatia). He was a member of the program committee of the international conference The Science and Development of Transport (ZIRP) 2022 and editor of the conference proceedings ZIRP-Youth 2022. He is a member of the organizing committee and assistant editor of the proceedings of the international conference The Science and Development of Transport (TRANSCODE) 2025. He has reviewed 43 papers for journals indexed in the Web of Science. He has participated in the popularization of science through presentations at two Science Festivals and the publication of a popular science article in the journal Promet – Traffic & Transportation. In 2023, he delivered an invited lecture of the Croatian IEEE Section entitled “Efficient Routing of Electric Vehicle Fleets” at the Faculty of Electrical Engineering and Computing, University of Zagreb. He is the recipient of an award for special achievements in scientific research in the academic year 2022/2023 at the Faculty of Transport and Traffic Sciences, University of Zagreb.
At the Department of Intelligent Transportation Systems, he is involved in teaching the following courses: Algorithms and Programming, Databases, Advanced Databases, Transport Optimization of Transport Processes, Introduction to Programming, Data Mining, Electromobility, Fundamentals of Application Development, Autonomous Vehicles, and Programming. He has served as a mentor or direct supervisor for 26 undergraduate and graduate theses and is an academic advisor to two doctoral students in the doctoral program in Transport at the Faculty of Transport and Traffic Sciences, University of Zagreb. He holds an English language certificate at level C1.1 and a German language certificate at level B1. His skills include programming in multiple programming languages (C++, C#, Python, Java) and working with software tools such as MATLAB, Android Studio, Linux, ASP.NET, ROS, Microsoft Office, Microsoft SQL, MVC, and others.