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Bosch Center for Artificial Intelligence

Dan Zhang

Research Scientist

About Me

I am a research scientist at the Bosch Center for Artificial Intelligence, working on deep learning in particular from the Bayesian viewpoint. I received my PhD in electrical engineering from RWTH Aachen University. After that, I spent three years at TU Dresden, working as a postdoctoral researcher and also leading a research team at Vodafone chair mobile communications systems. During my PhD as well as my postdoctoral phase, my research focus was on investigation of approximate Bayesian inference techniques from theory to practice. The main application area was wireless communications. Combining deep learning with Bayesian techniques is an exciting research field. Since joining Bosch, I have been aiming at assessing the uncertainty in deep learning with the aid of Bayesian techniques.

My research interests include Deep Learning, Bayesian Inference, and Statistical Signal Processing.

Google Scholar

My Research Fields

  • Deep Learning
  • Bayesian Inference