معرفی
Dr. Attila Fazekas serves as an Associate Professor at the University of Debrecen, Faculty of Informatics, Department of Computer Science. His office is located in the Faculty of Informatics building (Kassai út 26, Debrecen), specifically in room I116 on the first floor.
His primary research focuses on Digital image processing and Shape recognition, with significant contributions to Binary classification of imbalanced datasets. His work bridges theoretical computer science with practical applications in pattern recognition and machine learning techniques for handling skewed data distributions.
Dr. Fazekas actively supervises doctoral research, currently guiding PhD student Khudhair Mohammed Aad. His research methodology emphasizes developing robust algorithms for image analysis tasks where class imbalance presents significant challenges.
He maintains professional presence through institutional profiles including Tudóstér, Google Scholar, and LinkedIn, with regular updates to his research activities as recently as September 2023.
