One focus of Bernhard Claus’ work in recent years has been on developing algorithmic approaches leading to significant improvements in image quality in X-ray tomography with incomplete data (e.g., tomosynthesis) for various clinical and industrial applications – developing highly innovative algorithms for this class of underdetermined and ill-posed problems. His research in other areas includes, e.g., algorithms and processing approaches for motion compensation (e.g., for cardiac imaging), imaging system geometry calibration, spectral X-ray imaging.
As an applied mathematician (MS from University of Kaiserslautern, Germany) he is by training a “generalist”. After obtaining a PhD in signal processing (Universite de Rennes, France) and a Post-Doc at MIT, he was working in diverse fields such as automatic inspection with video cameras (textiles, cars, wooden surfaces), communications, monitoring and diagnostic of motors, etc., first at the Fraunhofer Institute for Industrial Mathematics ITWM (Kaiserslautern, Germany), then at GE Research, which he joined in 1998. His work has resulted in 50+ issued patents and numerous publications, mostly in 3D X-ray based imaging for medical and other applications.