The ETRO department has formal structural collaborations with the institutes listed below.
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imecwww.imec.be |
imec is the world-leading R&D and innovation hub in nanoelectronics and digital technologies. As a trusted partner for companies, startups and academia imec brings together brilliant minds from all over the world in a creative and stimulating environment. By leveraging a world-class infrastructure and local and global ecosystem of diverse partners across a multitude of industries, imec accelerates progress towards a connected, sustainable future. ETRO is one of imec’s core research teams. Its mission is to make sense of visionary electronics & computer engineering. imec-ETRO-VUB’s research focuses on sensors, image and multi- dimensional signal processing applied in various sectors such as medical imaging, media systems, industrial processing and digital heritage.
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Universitair Ziekenhuis Brussel - UZ Brusselwww.uzbrussel.be |
Radiology, Radiotherapy, Orthopedic Surgery,
Pulmonology, Cardiology, Anatomy, Geriatrics,
C4N
Pulmonology, Cardiology, Anatomy, Geriatrics,
C4N
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ibsquarehttps://ibsquare.be/ |
Joint VUB-ULB institute specialized in
bioinformatics analysis of large scale omics
data
bioinformatics analysis of large scale omics
data
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JBDR - Joint laboratory on Big Data |
JBDR – Joint laboratory on Big Data
with Duke University (US), UCL (UK)
and UGent
Advanced theory, algorithms, and system design in support of next-generation, large-scale information processing systems and big data technologies with the aim to address a new wave of big data applications in smart cities, smart healthcare, art investigation, and media authenticity. Of particular interest are explainable artificial intelligence, interpretable deep learning, and federated learning with applications in biomedical data processing and analysis.
Research will also be focusing on signal reconstruction from low-dimensional, noisy and incomplete measurements, including using deep learning models for solving inverse problems for compressive holography, holographic tomography, super-resolution, phase retrieval or retrieving 3D object shapes and scene geometry.
with Duke University (US), UCL (UK)
and UGent
Advanced theory, algorithms, and system design in support of next-generation, large-scale information processing systems and big data technologies with the aim to address a new wave of big data applications in smart cities, smart healthcare, art investigation, and media authenticity. Of particular interest are explainable artificial intelligence, interpretable deep learning, and federated learning with applications in biomedical data processing and analysis.
Research will also be focusing on signal reconstruction from low-dimensional, noisy and incomplete measurements, including using deep learning models for solving inverse problems for compressive holography, holographic tomography, super-resolution, phase retrieval or retrieving 3D object shapes and scene geometry.
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University of Patrashttps://www.upatras.gr |
The VUB-UPatras International Joint Research Group on ICT is coordinated by Prof. Nikos Deligiannis and focuses on signal signal sensing, signal processing and machine learning methods and algorithms in support of large-scale biomedical engineering systems, involving diverse sensing modalities generating big heterogeneous data.
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École Polytechnique Fédérale de Lausannehttps://www.epfl.ch/en/ |
NANO – Joint laboratory on nanomedicine and nano-biotechnology
with EPFL, Lausanne (Switzerland)
Nano-technology, biotech, food
with EPFL, Lausanne (Switzerland)
Nano-technology, biotech, food