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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Erasmus MC (University Medical Center Rotterdam)
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- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus MC (University Medical Center Rotterdam); yesterday published
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- Maastricht University (UM); 26 Sep ’25 published
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models tailored to Dutch industry needs, focusing on underserved modalities (e.g. sensor data, time series, multimodal signals) and edge applications. The consortium develops an open-source toolbox
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based on ultrasound sensors. This is a critical advancement as the aging population increasingly demands better healthcare solutions to chronic diseases. Proper monitoring has the potential to improve
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industrial partners. Its aim is to develop and apply foundation models tailored to Dutch industry needs, focusing on underserved modalities (e.g. sensor data, time series, multimodal signals) and edge
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based on ultrasound sensors. This is a critical advancement as the aging population increasingly demands better healthcare solutions to chronic diseases. Proper monitoring has the potential to improve
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responsibilities will include: Design and develop analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN
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, as well as satellite and sensor data, looking specifically at 6 different use cases across Europe. In addition to the detailed innovative analysis of existing methods and protocols, ITC will focus
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lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future
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jointly embedded in the research groups of Dr. Sid Kumar (Mechanics, Materials, and Computing group) and Dr. Georgy Filonenko (Functional Polymers and Sensors group). Research group of Dr. Sid Kumar
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Polymers and Sensors group). Research group of Dr. Georgy Filonenko: Functional Polymers and Sensors group: www.tudelft.nl/me/over/afdelingen/materials-science-and-engineering/research/functional-polymers
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, medical devices, or soft-tissue phantoms is highly valued. Familiarity with system integration, sensor technologies, or imaging modalities (e.g., X-ray fluoroscopy, endoscopy) is considered a strong asset