Optimization, quantum computing, quantum machine learning, task scheduling, vehicle routing problems, parallel programming, artificial intelligence, multi-criteria optimization.
PhD Radosław Idzikowski is an assistant professor in the Department of Control Systems and Mechatronics at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His research focuses on optimization algorithms and artificial intelligence methods applied to task scheduling and transport logistics. He also explores the use of multiprocessor environments and quantum computing techniques to enhance computational efficiency in complex optimization problems.
Currently, his research centers on quantum machine learning and its applications in optimization and data analysis. His earlier interests also include Industry 4.0, particularly the integration of intelligent systems in industrial environments.
His doctoral dissertation addressed various variants of the flow shop problem with time constraints. As a member of the international MOCOS (MOdeling Coronavirus Spread) team, he contributed to the mathematical modeling of the COVID-19 epidemic. Together with MSc Eng. Mateusz Kucharski, he serves as the supervisor of the Qubit Student Club (https://qubit.pwr.edu.pl), which focuses on quantum computing and its practical applications.
The teaching materials for students are available only on the Polish version of this website.
