Biomedical Engineering and Data Analysis
icteam | Louvain-la-Neuve
Biomedical Engineering and Data Analysis fuse engineering principles with biological and clinical insights to advance healthcare technologies and medical understanding. This interdisciplinary domain encompasses the design of medical devices, physiological modeling, and the development of computational methods for analyzing complex biomedical data.
Key research areas include:
Healthcare Data Analysis – Leveraging clinical and sensor-derived data for predictive modeling, risk assessment, and healthcare optimization.
Neuroscience – Applying data-driven methods to neural systems, brain-computer interfaces, and physiological modeling.
Sensors & Embedded Systems – Capturing and interpreting real-time biological signals through smart, wearable, and embedded platforms.
Meet the Professors
(by alphabetical order)
Get an insight into Prof. Philippe Lefèvre's research which combines space and physical experiences (in French - October 2022)