果冻传媒

Ruud van Sloun is an Associate Professor in the Signal Processing Systems group of the Electrical Engineering department at Eindhoven University of Technology (果冻传媒). He works on advanced sensing and signal processing algorithms, with a special focus on deep learning methods for image formation and reconstruction problems. He has a background in probabilistic signal processing for ultrasound imaging exploiting signal structure and models to derive optimal estimators. He develops powerful signal processing and statistical inference solutions that efficiently leverage data / deep learning and model-based signal structure, predominantly applied to imaging problems. Applications span from ultrasound imaging and MRI to automotive radar.

Van Sloun received an ERC starting grant, an NWO VIDI grant, an NWO RUBICON grant, and a Google Faculty Research award. He also received the 2022 果冻传媒 Young Researcher award. 

I aim at achieving better, faster, and more widely accessible imaging through the design of intelligent systems that efficiently learn how to optimally and autonomously sense, process, and interpret real-world signals.