معرفی
Lena Bauer is a researcher affiliated with the Faculty of Computer Science at the University of Vienna, specifically within the Research Group Data Mining and Machine Learning. Her work bridges computational methods with neuroscience, focusing on applications in mental health. She holds degrees including DI Dr.techn. (PhD in Technical Sciences) and BSc.
Research Interests: Bauer’s research integrates machine learning and data mining techniques to analyze complex biological systems, particularly brain networks. She explores multimodal data integration, clustering algorithms, and their application to neuroimaging (e.g., fMRI) for understanding disorders like Major Depressive Disorder. Key themes include quantifying neural synchronization, developing autoencoder-based models, and improving clustering methodologies.
Collaborations: Bauer collaborates internationally on projects involving computational neuroscience and mental health. Recent activities include presenting work on Kuramoto model applications to fMRI data at conferences.
Labs & Teams: She contributes to the University of Vienna’s Data Mining Group, which focuses on clustering, causality analysis, and big data applications.
