معرفی
Iris Huijben is a Researcher and Doctoral Candidate in the Signal Processing Systems group at Eindhoven University of Technology (TU/e). Her work bridges signal processing and deep learning in sleep medicine and fetal health monitoring. She holds an MSc in Electrical Engineering (cum laude, 2019) from TU/e and is pursuing a PhD under Prof. Ruud van Sloun, focusing on discrete representation learning for sleep recordings.
Research Interests: Representation learning for biomedical signals, fetal health assessment using cardiotocograms, sleep stage analysis, and machine learning-driven data compression.
- Key Projects: Developed attention mechanisms for sleep stage classification, improved fetal health anomaly detection with contrastive predictive coding, and analyzed temporal dynamics of parasomnia awakenings.
- Collaborations: Research internship at Qualcomm AI Research (Amsterdam) on data compression.
Publications highlight advancements in medical AI, including real-time fetal monitoring systems and sleep dynamics analysis. Awards include TU/e’s MSc Thesis Award 2020 for work on sub-Nyquist sampling in medical ultrasound.
Iris Huijben در سایتهای دیگر
جستوجوهای مرتبط
شاید اینها هم برایتان مناسب باشند
Ruud van SlounEindhoven University of Technology · دانشیار
Ruud J.G. van SlounEindhoven University of Technology · دانشیار- JJudith OEH van LaarEindhoven University of Technology · استادیار
Judith van LaarEindhoven University of Technology · استادیار- SSG (Guid) OeiEindhoven University of Technology · استاد
Rik VullingsEindhoven University of Technology · دانشیار