Dan Zhang is a Senior Expert at Bosch, focusing on the challenges of generalization in deep learning. They received a B.Sc. degree in electrical engineering from Zhejiang University in 2004 and both an M.Sc. and a Dr.-Ing. degree in Electrical Engineering and Information Technology from RWTH Aachen University in 2007 and 2013, respectively. Previously, Dan led a research team at the Vodafone Chair Mobile Communications Systems at TU Dresden and worked in various research roles at RWTH Aachen University. Their expertise encompasses deep learning, Bayesian inference, and statistical signal processing, with a current role involving the development of reliable deep learning algorithms through independent lab leadership at the University of Tuebingen.
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