Stephan Dreiseitl

Stephan Dreiseitl is a Professor at the University of Applied Sciences Campus Hagenberg, Department of Software Engineering. His research focuses on machine learning, medical informatics, and data analysis. He has contributed to advancements in feature selection, neural networks, and decision support systems.

Research Interests: His work spans machine learning algorithms (e.g., neural networks, SVMs), medical applications like teledermatology, and computational methods for feature engineering. He emphasizes practical applications in healthcare and software engineering.

Notable Activities: He led the PhD Programm - PhD Programme from 2011–2020 and delivered talks on topics such as Support Vector Machines and Artificial Neural Networks.

Publications: His recent work includes studies on technostress measurement via HRV analysis, efficient multiclass AUC computations, and parallel minibatch training in machine learning. He also authored a textbook on Mathematics for Software Engineering.

Labs/Teams: Active in the Research Center Hagenberg, contributing to interdisciplinary projects at the intersection of computer science and medical informatics.