Hans Gorp, van
  • Source: Scopus
20202021

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Research profile

Hans van Gorp is a doctoral candidate in the Signal Processing Systems group of the Electrical Engineering department at Eindhoven University of Technology (TU/e). He works on generative modeling, classification, and uncertainty analysis in sleep, with a special focus on interpretability and clinical relevance. This work is done in the Biomedical Diagnostics (BM/d) research laboratory in collaboration with Philips research and Kempenhaeghe.

Quote

"We have to be certain about uncertainty."

Academic background

Hans van Gorp has a background in Electrical Engineering (EE), receiving both his master’s and his bachelor’s degree in the subject at the TU/e. He has always had in interest in the interface between signal processing, machine learning, and clinical applications, writing his master thesis on active acquisition for MRI and now as a doctoral candidate in the Biomedical Diagnostics (BM/d) Research Laboratory.

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  • Active Deep Probabilistic Subsampling

    van Gorp, H., Huijben, I., Veeling, B., Pezzotti, N. & van Sloun, R. J. G., Jul 2021, 38th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). PMLR, p. 10509-10518 10 p. (Proceedings of Machine Learning Research; vol. 139).

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