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Department of Product Packaging Science

Artur

Artur Budzyński, MEng

Assistant at the Department of Packaging and Logistics Processes, College of Management and Quality Sciences, Institute of Quality and Product Management Sciences, Cracow University of Economics.

He is a PhD student in the discipline of Civil Engineering, Geodesy, and Transport. He specializes in the application of machine learning to solve transport-related problems, particularly in the field of transport service price forecasting. He holds a Master of Science in Engineering degree in Transport, with a focus on transport logistics.
In his scientific work, he focuses on issues related to price forecasting in road transport, analysis of factors affecting transport safety, and the use of machine learning to optimize transport processes. He is the author of numerous scientific publications in this field, which have been presented in recognized journals and conference proceedings.
He has extensive professional experience in organizing and managing transport processes, gained while working as an international freight forwarder and as a team leader in forwarding operations.
He actively participates in research projects and grants, including those financed by the National Centre for Research and Development, such as the T-INCLUDED project, which focuses on analyzing transport exclusion in Poland. He has also led a research project on the application of machine learning to solve transport-related problems.
He has participated in numerous international scientific conferences, where he presented the results of his research and established collaborations with researchers from around the world. He was also a participant in the CEEPUS program “Fostering sustainable partnership between academia and industry in improving applicability of logistics thinking” (FINALIST) and the Erasmus+ program “CirCOOL 2022 – Responsible Material Flow.”
He served as an assistant supervisor in PBL (Project-Based Learning) projects, supporting students in the implementation of projects related to the analysis of the causes of transport incidents using machine learning.
For his scientific achievements, he has been repeatedly awarded, including in the “My Business Idea” competitions, where he presented innovative solutions related to intelligent transport systems. He has also received grants supporting the development of young researchers under the “Initiative of Excellence – Research University” program.
He continuously improves his qualifications by participating in numerous training courses and workshops in the fields of machine learning, artificial intelligence, and data analysis.