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Dr. Joana M. Warnecke 
Background -
Research -
Publications
Position: Research Associate
E-mail: jmw272 [at] cam.ac.uk
Background
Joana Warnecke is a PostDoc at the Department of Engineering, University of Cambridge.
She received her PhD in Computer Science (Summa Cum Laude) from the TU Braunschweig, Germany. Her research focuses on unobtrusive health monitoring and signal fusion to detect diseases at an early stage. Additionally, she is a PostDoc Society Fellow at the Trinity College.
Research Interests
Signal Fusion Enabled with Machine Learning - Fusion is vital for integrating diverse sources of information, enabling a more comprehensive understanding. This allows the extraction of information that is impossible to acquire with one sensor. By combining data from multiple sources, fusion enhances accuracy, reliability, and robustness, such as in medical applications. Different Machine learning models improve the reliability of sensor systems in real-world settings through effective signal fusion methodologies.
Continuous Health Monitoring - With these signal fusion methods it is possible to monitor vital signs, enabling early detection of health issues and prompt intervention. Integrating monitoring systems into everyday devices, seamlessly incorporates health checks into daily routines, fostering better adherence to monitoring practices. This proactive approach not only improves treatment outcomes and reduces complications.
Research Project
I work on the Meerkat project, a collaboration between the Departments of Engineering and Paediatrics. Our primary objective is to create a non-contact camera-based monitoring system tailored for infants in intensive care. We aim to leverage advanced machine learning, signal fusion, and computer vision algorithms to measure vital signs and abnormal movements. This will enable us to detect seizures, advancing monitoring capabilities and elevating clinical care standards. Furthermore, our project encompasses comprehensive data collection from the neonatal intensive care unit (NICU) and the design of an integrated unit comprising imaging and analysis hardware. This project involves close collaboration with nurses, clinical professionals, and parents to ensure efficacy and usability.
Teaching
- IB Paper 6: Signal and Data Analysis
- IB Paper 6: Linear Systems and Control
Here you can find my Google Scholar Profile.
