Konrad Kania

Konrad Kania is a Lecturer at the Department of Quantitative Methods in Management within the Faculty of Management at Lublin University of Technology. He has been working as a researcher and lecturer since 2019, initially at the Faculty of Management at the Faculty of Electrical Engineering and Computer Science, and since 2020 at his current department.

His research focuses on applied mathematics, mathematical modeling, data analysis, machine learning, and deep learning, with particular emphasis on tomography applications. Kania's work bridges theoretical mathematical approaches with practical industrial implementations, especially in ultrasound and electrical tomography systems.

Analysis of his publications from 2019-2021 reveals a strong focus on developing innovative algorithms for image reconstruction in various tomographic systems. His research spans multiple disciplines including computer science, electrical engineering, physics, and industrial applications, with particular emphasis on real-time processing, anomaly detection, and machine learning applications in tomography.

Kania teaches statistical methods, optimization methods, mathematics, and seminars on Using R in Quantitative Methods, demonstrating his commitment to both theoretical and applied aspects of quantitative methods in management education.