Projects per year
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."
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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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- 1 Active
1/01/20 → 31/12/25
Project: Research direct
van Gorp, H., Huijben, I. A. M., Fonseca, P., van Sloun, R. J. G., Overeem, S. & van Gilst, M. M., 11 Aug 2022, In: Sleep. 45, 8, zsac134.
Research output: Contribution to journal › Article › Academic › peer-review
Wei, X., van Gorp, H., Gonzalez Carabarin, L., Freedman, D., Eldar, Y. C. & van Sloun, R. J. G., 3 Jun 2022, In: IEEE Transactions on Signal Processing. 70, p. 2962-2971 10 p.
Research output: Contribution to journal › Article › Academic › peer-reviewOpen AccessFile7 Downloads (Pure)
Wei, X., van Gorp, H., Gonzalez Carabarin, L., Freedman, D., Eldar, Y. C. & van Sloun, R. J. G., 27 Apr 2022, ICASSP 2022: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers, p. 1551-1555 5 p. 9747748
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-reviewOpen AccessFile5 Downloads (Pure)
Hermans, L. W. A., Huijben, I. A. M., van Gorp, H., Leufkens, T. R. M., Fonseca, P., Overeem, S. & van Gilst, M. M., 1 Jun 2022, In: Sleep Medicine Reviews. 63, p. 101611 15 p., 101611.
Research output: Contribution to journal › Review article › peer-reviewOpen AccessFile
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).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-reviewOpen AccessFile30 Downloads (Pure)