Projects per year
Personal profile
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.
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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Projects
- 1 Active
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TKI-HTSM/1912P08 PICASSO SPS: Perlnatal, CArdiovascular and Sleep medtech Solutions
van der Hagen, D. (Project communication officer), Peri, E. (Project member), van der Aar, J. (Project member), Peng, Z. (Project member), van Gorp, H. (Project member), Mischi, M. (Project Manager), Long, X. (Project member), Bester, M. (Project member) & Bergmans, J. W. M. (Project member)
1/01/20 → 31/12/25
Project: Third tier
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A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input
Gorp, H. V., Gilst, M. M. V., Fonseca, P., Meulen, F. B. V., Dijk, J. P. V., Overeem, S. & Sloun, R. J. G. V., 28 Apr 2025, (E-pub ahead of print) In: IEEE Journal of Biomedical and Health Informatics. PPResearch output: Contribution to journal › Article › Academic › peer-review
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Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging
Penninga, S. W., van Gorp, H. & van Sloun, R. J. G., 7 Mar 2025, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers, 5 p. 10888253Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access -
Hypnogram and Hypnodensity Analysis of REM Sleep Behaviour Disorder Using Both EEG and HRV-Based Sleep Staging Models
van der Aar, J. F., van Gilst, M. M., van den Ende, D. A., van Gorp, H., Anderer, P., Pijpers, A., Fonseca, P., Peri, E. & Overeem, S., 12 Mar 2025, (E-pub ahead of print) In: Journal of Sleep Research. p. e70046Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Learning Structured Compressed Sensing with Automatic Resource Allocation
Wang, H. (Corresponding author), Pérez, E., Huijben, I. A. M., van Gorp, H., van Sloun, R. & Römer, F., 7 Mar 2025, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing. Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (eds.). Institute of Electrical and Electronics Engineers, 5 p. 10890854Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Neural Augmented Kalman Filters for Road Network assisted GNSS positioning
van Gorp, H., Belli, D., Jalalirad, A. & Major, B., 6 Jun 2025, (Accepted/In press).Research output: Contribution to conference › Paper › Academic