Melanie Schaller

Dr. Melanie Schaller is a researcher at the Institute of Information Processing, Leibniz Universität Hannover. Her work bridges machine learning with engineering applications in biomedical and civil infrastructure domains.

• PhD in Cyber-Physical Systems for Intracranial Pressure Monitoring (University of Würzburg, 2023)
• Specializes in end-to-end integration of engineering knowledge into ML models

Research focuses on anomaly detection in multivariate time-series and graph signal processing. Recent projects like P-BIM and KI@FlowChief demonstrate applications in structural behavior analysis and water distribution network optimization. Publications emphasize sensor network applications and adaptive learning systems.

Dataset contributions include detailed pulsating waterjet cutting experiments and smart beehive monitoring, with methodologies for incremental learning and audio signal classification. Technical reports highlight expertise in heterogeneous graph neural networks and signal processing for material transitions.