Elisabeth Maria Mayrhuber

Elisabeth Maria Mayrhuber serves as a Researcher at the University of Applied Sciences Upper Austria's Hagenberg campus with dual affiliations:

• Research Center Hagenberg Bioinformatics
• AIST Center of Excellence Medical Engineering/TIMed Center

Her work operates under the Information & Communications Technology (ICT) focal area, leveraging interdisciplinary approaches at the computer science-engineering interface.

Research expertise spans core domains with technical depth:

• Machine Learning (Semi-supervised Learning, Genetic Programming, Explainable AI)
• Bioinformatics and medical data systems
• Process Mining and user behavior analytics
• Precision Livestock Farming applications
• Cold-start problem solutions in distributed environments

Recent publications (2024-2025) demonstrate methodological innovation through evolutionary computing applied to critical domains: interpretable decision systems for livestock farming, symbolic regression in agricultural contexts, obesity risk modeling using genetic programming, and ontology-enhanced process mining for laboratory workflows. These works consistently address scalability challenges while advancing model interpretability standards.

Active within the Research Center Hagenberg Bioinformatics and AIST TIMed Center ecosystems, she contributes to cross-disciplinary initiatives integrating computational methods with medical engineering and agricultural technology development.