Oliver Amft

Oliver Amft is a Professor at the University of Freiburg, leading the Intelligent Embedded Systems Lab since 2022. His work focuses on wearable computing, health informatics, and AI-driven solutions for medical applications. He has been involved in projects like Eghi (enhanced health intelligence for personalized behavior strategies) and FederLeicht (learning support in extended reality). His research spans biomedical signal processing, machine learning for healthcare, and human-computer interaction. Notable contributions include developing wearable sensors for disease detection (e.g., inflammatory bowel disease), AR-guided surgical systems, and privacy-aware data integration frameworks (e.g., FHIR standards).

• Education: Ph.D. in Computer Science (assumed based on role).

Research interests include real-time health monitoring, digital twins for patient care, and AI models for clinical decision support. His publications highlight advancements in medical image segmentation, bioacoustic analysis, and synthetic data generation for activity recognition. He collaborates with institutions like the Department of Medicine and Engineering disciplines. Current projects emphasize cross-modal integration in medicine and nanopore-based diagnostics.