Robert Leppich

Robert Leppich is a Researcher at the Chair of Computer Science II (Software Engineering) at the University of Würzburg, part of the Faculty of Mathematics and Computer Science. His work focuses on Software Engineering for Applied Data Analytics and Artificial Intelligence, with a particular emphasis on Time Series Analysis, Medical Informatics, and Sport Informatics. He coordinates teaching activities such as the master's lecture 'Advanced Programming' and the practical course 'Softwarepraktikum,' both led by Prof. Samuel Kounev. Additionally, he supervises Bachelor and Master theses and provides topics for the 'Seminar Software Engineering.'

Leppich's research spans interdisciplinary domains, including the development of digital therapeutics (e.g., the Axia app for managing axial spondyloarthritis), machine learning applications in healthcare (e.g., ECG classification and biomarker profiling), and wearable sensor data analysis in sports performance. His work also explores synthetic data generation, evaluation metrics for time series synthesis, and lightweight neural network architectures for forecasting.

His recent publications emphasize AI-driven solutions for healthcare challenges, such as improving disease management through mobile applications and enhancing predictive analytics in sports and medicine. He has collaborated with departments like Medical Informatics at the Universitätsklinikum Würzburg and the Data Science Group, reflecting his cross-disciplinary approach to research.

Leppich holds a Master's and Bachelor's degree in Computer Science from the University of Würzburg, with prior research roles at the Intex group and the Data Science research unit. His contributions bridge software engineering principles with real-world applications in medicine and sports, aiming to improve clinical outcomes and athlete performance through technological innovation.