Hans van Gorp
Department / Institute
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.
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.
Recent Publications
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Studying Sleep
Sleep (2024) -
Modeling the Impact of Inter-Rater Disagreement on Sleep Statistics using Deep Generative Learning
IEEE Journal of Biomedical and Health Informatics (2023) -
Aleatoric Uncertainty Estimation of Overnight Sleep Statistics Through Posterior Sampling Using Conditional Normalizing Flows
(2023) -
Certainty about Uncertainty in Sleep Staging
Sleep (2022) -
Deep Unfolding with Normalizing Flow Priors for Inverse Problems
IEEE Transactions on Signal Processing (2022)
Current Educational Activities
Ancillary Activities
No ancillary activities