Ruud J.G. van Sloun

Ruud J.G. van Sloun is an Associate Professor in the Signal Processing Systems group within the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). His research focuses on advanced sensing and signal processing algorithms, particularly deep learning methods for medical imaging applications such as ultrasound and MRI, as well as automotive radar. He holds a MSc and PhD in Electrical Engineering from TU/e, both awarded cum laude. He is affiliated with the Eindhoven MedTech Innovation Center and EAISI Health, collaborating with industry partners like Philips Research and Onera.

Education: MSc (2014, cum laude) and PhD (2018, cum laude) in Electrical Engineering from TU/e.

Research interests include deep learning for image reconstruction, probabilistic signal processing, and model-based approaches. His work contributes to UN Sustainable Development Goals related to healthcare innovation. Notable grants include ERC Starting Grant, NWO VIDI, and Google Faculty Research Award. He has supervised 17 research projects and authored over 200 publications.