Bas Oei

Bas Oei serves as a University Researcher in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), actively contributing to the Signal Processing Systems research group and the Eindhoven MedTech Innovation Center. His interdisciplinary work bridges engineering and clinical applications through advanced computational methodologies.

His primary research domains include Deep Learning for medical image analysis, simulation-based healthcare training systems, and evidence-based instructional design. Oei develops AI-driven diagnostic tools for point-of-care ultrasound while creating validated assessment frameworks for medical team training, with particular emphasis on translating technical innovations into clinical education practice.

Analysis of his publication trajectory reveals a strategic evolution from surgical skill acquisition studies (2008) toward high-impact deep learning applications in pandemic response (2020). His work consistently demonstrates cross-disciplinary integration of computer science with medical education, evidenced by the 498 citations for his COVID-19 ultrasound research and significant industry partnerships reflected in patent citations.

Within TU/e's research ecosystem, Oei operates at the intersection of the Signal Processing Systems group's technical expertise and the Eindhoven MedTech Innovation Center's translational mission, collaborating with clinicians and engineers to develop deployable healthcare solutions that address real-world diagnostic and training challenges.