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Department of Intelligent Transport Systems

Krešimir Kušić, Ph.D.

 

Krešimir Kušić

Link to CROSBI profile: https://www.bib.irb.hr/pregled/znanstvenici/364811

Scientific Personal Identification Number: 364811

Curriculum vitae

Krešimir Kušić was born on November 30th, 1987 in Zagreb, where he also completed his primary and secondary education. In 2012 he started studying Traffic Engineering (course: Intelligent transportation systems and Logistics) at the University of Zagreb, Faculty of Transport and Traffic Sciences. He received Bachelor’s and Master’s degree in traffic and transport engineering, in 2015 and 2017, respectively. He graduated with the master thesis: “Framework for Simulation of Variable Speed Limit Control Systems on Urban Motorways Based on Learning”. In November 2017 he enrolled Ph.D. study (“Technological System of Traffic and Transport”) at the Faculty of Transport and Traffic Sciences. According to the decision of the College Council, in October 2017, he was employed as a Research assistant at the Department of Intelligent Transportation Systems, Faculty of Transport and Traffic Sciences. As a research assistant, he partly teaches lectures: Computer sciences and Intelligent transportation systems 1 on the undergraduate level, and Virtual reality in traffic systems, Operational research and Intelligent transportation systems 2 at the graduate level. He received Rector’s Award of the University of Zagreb in 2016. The same year, he received the Dean’s Award as a “Best graduate student” in the study program: Intelligent transportation systems”. Under the Erasmus+ K103 SST Exchange programme he visited Laboratory “Distributed Systems Group” at the School of Computer Science and Statistics at Trinity College Dublin, in Ireland (June 10-14, 2019). He participated in two international COST Summer Training Schools: cHiPSet Training School “Big Data Processing and Analytics in the Internet of Everything Era” held in Novi Sad, Serbia in 2017 and 3rd cHiPSet Training school “Large-Scale Data Mining and Machine Learning for Big Data Analytics” in 2018 at the Aristotle University of Thessaloniki, Greece. Also, he participated at three Summer Schools organized under project Advanced Methods and Technologies in Data Science and Cooperative Systems (DATACROSS) held in Split, Croatia in September (2017, 2018 and 2019). In his work he actively uses the following program packages: MATLAB, programming languages (C# and Python), microscopic traffic simulators (PTV Vissim and SUMO), Blender (3D modeling software) and document preparation system LaTeX, as well he has a good knowledge of AutoCAD, SQL, Unity and WinQSB software package for problem-solving in Operations Research and Management Science. He speaks the English language. The field of research interest is related to developing, analysis, modelling and testing intelligent transportation solutions for sustainable and efficient highway traffic.

Participation on projects:

  1. “Advanced methods and methodologies in data science and cooperative systems (DATACROSS)”, external project research associate, project leader Prof. Ivan Petrović, (2017-2022)
  2. Short-term support from University of Zagreb for the project “Application of deep learning in intelligent traffic control”, project associate, May – December 2018, leader of the project Assoc. Prof. Edouard Ivanjko

Most significant publication in the last 5 years:

  • Ivanjko, E., Oliveira Melo, G., Kušić, K., Gregurić, M., “Comparison of Controllers for Variable Speed Limit Using Realistic Traffic Scenarios”, Proceedings of 60th International Symposium ELMAR-2018, Special session Intelligent Transport Systems, Zadar, Croatia, 16.-19.09.2018. pp. 39-42.
  • Kušić, K., Ivanjko, E., Gregurić, M., “A Comparison of Different State Representations for Reinforcement Learning Based Variable Speed Limit Control”, Proceedings of the 26th Mediterranean Conference on Control and Automation MED2018, 19-22 June, Zadar, Croatia, 2018, pp. 266-271. DOI: 10.1109/MED.2018.8442986
  • Kušić, K., Framework for Simulation of Variable Speed Limit Control Systems on Urban Motorways Based on Learning, graduate thesis, supervisor Assist. Prof. Edouard Ivanjko, Faculty of Transport and Traffic Sciences, University of Zagreb, 2017
  • Kušić, K., Korent, N., Gregurić, M., Ivanjko, E., “Comparison of Two Controllers for Variable Speed Limit Control“ Proceedings of 58th International Symposium ELMAR-2016, Special session Intelligent Transport Systems, Zadar, Croatia, 12.-14.09.2016. pp. 101-106.
  • Korent, N., Kušić K., “Analysis of the Impact of Variable Speed Limit Control on Traffic Throughput and Environmental Pollution”, paper awarded with the Rector award, supervisor Assist. Prof. Edouard Ivanjko, principal investigator Martin Gregurić, mag. ing. traff., Faculty of Transport and Traffic Sciences, University of Zagreb, 2016
  • Gregurić, M., Ivanjko, E., Korent, N., Kušić, K., “Short Review of Approaches for Variable Speed Limit Control“, Proceedings of the International Scientific Conference Perspectives on Croatian 3pl Industry in Acquiring International Cargo Flows ZIRP2016, Zagreb, Croatia, 12.04.2016. pp. 41-52.
Zavod za inteligentne transportne sustave, 2017.