Projects per year
Personal profile
Research profile
Iris Huijben is a Doctoral Candidate in the Signal Processing Systems group of the Electrical Engineering department at Eindhoven University of Technology (TU/e). She received TU/e’s MSc Thesis Award 2020 for her master thesis on sub-Nyquist sampling of medical ultrasound data.
Now she works on representation learning, with applications in sleep medicine, in which she aims to combine signal processing algorithms with deep learning models. By creating meaningful representations of sleep recordings, she intends to learn about the sleeping brain, and therewith bridge the gap between technical models, and clinical interpretation. During the first year of her Doctorate, Iris conducted a research internship regarding deep learning for data compression in the team of Taco Cohen at Qualcomm AI Research, Amsterdam.
Quote
"Machine learning models can not only be used for automating labor-intensive processes, but also to teach us about the world."
Academic background
Iris Huijben studied Electrical Engineering at Eindhoven University of Technology (TU/e), where she received her MSc degree cum laude in 2019. Directly after, she joined TU/e as a Doctoral Candidate in the Signal Processing Systems group, where she works on representation learning for human sleep recordings.
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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Collaborations and top research areas from the last five years
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TKI-HTSM/20.0295/PPS2006 MEDUSA: Medical Data Utilization Solutions Accelerator
van Gilst, M. M. (Project member), Xie, J. (Project member), Huijben, I. (Project member), Wulterkens, B. M. (Project member), Hafkamp, F. (Project member), van de Pol, J. (Project member), Montree, R. J. H. (Project member), Abdalrahim, R. (Project member), Cerina, L. (Project member), Oei, S. G. (Project member), Vullings, R. (Project member), Mischi, M. (Project Manager), Bergmans, J. W. M. (Project member) & Long, X. (Project member)
1/01/20 → 5/02/26
Project: Third tier
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OP-SLEEP: Ontwikkeling Patiëntvriendelijk SLaap EEG Patch
Bergmans, J. W. M. (Project Manager), van Sloun, R. J. G. (Project member), Huijben, I. (Project member), Huijben, I. (Project member), van Gilst, M. M. (Project communication officer), Hermans, L. W. A. (Project member), van der Hagen, D. (Project communication officer) & Kunkels, Y. (Project member)
1/07/19 → 30/04/23
Project: Research direct
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Conditional Contrastive Predictive Coding for assessment of fetal health from the cardiotocogram
de Vries, I. R. (Corresponding author), Melaet, R., Huijben, I. A. M., van Laar, J. O. E. H., Kok, R. D., Oei, S. G., van Sloun, R. J. G. & Vullings, R., May 2025, In: IEEE Journal of Biomedical and Health Informatics. 29, 5, p. 3377-3386 10 p., 10843808.Research output: Contribution to journal › Article › Academic › peer-review
1 Citation (Scopus) -
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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Artificial intelligence based cardiotocogram assessment during labor
Melaet, R., de Vries, I. R. (Corresponding author), Kok, R. D., Guid Oei, S., Huijben, I. A. M., van Sloun, R. J. G., van Laar, J. O. E. H. & Vullings, R., Apr 2024, In: European Journal of Obstetrics & Gynecology and Reproductive Biology. 295, p. 75-85 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Citations (Scopus)67 Downloads (Pure) -
Attention on Sleep Stage Specific Characteristics
Huijben, I. A. M. (Corresponding author), Overeem, S., Van Gilst, M. M. & Van Sloun, R. J. G., 17 Dec 2024, 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024. Institute of Electrical and Electronics Engineers, 4 p. 10782554Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile2 Citations (Scopus)1 Downloads (Pure) -
Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities
Gonzalez-Carabarin, L. (Corresponding author), Huijben, I. A. M., Veeling, B., Schmid, A. & van Sloun, R. J. G., 1 Jan 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 1, p. 733-744 12 p., 9790881.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Citations (Scopus)54 Downloads (Pure)
Press/Media
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Researchers from Eindhoven University of Technology Report on Findings in Machine Learning (A Review of the Gumbel-max Trick and Its Extensions for Discrete Stochasticity In Machine Learning)
Huijben, I. & van Sloun, R. J. G.
1/03/23
1 item of Media coverage
Press/Media: Expert Comment