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ETRO ELECTRONICS AND INFORMATICS ETRO is the department of Electronics and Informatics of the Vrije Universiteit Brussel and focuses on fundamental, strategic and applied research. Its mission is to process large scale multi-dimensional, multi-spectral, multi-sensorial and distributed data. HIGHLIGHTS Reliable partner for local and international industry, public services and hospitals Multidisciplinary research group focusing on end-to-end solutions Supported by state-of-the-art infrastructure (Visual Quality assessment lab, embedded systems lab, etc.) CONTACT Vrije Universiteit Brussel Pleinlaan 2 - Building K 1050 Brussels President Prof. Dr. Ir. Johan Stiens [email protected] Business Developer Bugra Ersu [email protected] 110 researchers 3 teams 5 spin-offs Visit our website ETROVUB.BE

EXPERTISE - VUB TechTransfer

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Page 1: EXPERTISE - VUB TechTransfer

ETROELECTRONICS AND INFORMATICS

ETRO is the department of Electronics and Informatics of the Vrije Universiteit Brussel and focuses on fundamental, strategic and applied research. Its mission is to process large scale multi-dimensional, multi-spectral, multi-sensorial and distributed data.

HIGHLIGHTS

• Reliable partner for local and international industry, public services and hospitals• Multidisciplinary research group focusing on end-to-end solutions• Supported by state-of-the-art infrastructure (Visual Quality assessment lab, embedded systems lab, etc.)

CONTACTVrije Universiteit Brussel Pleinlaan 2 - Building K1050 Brussels

President Prof. Dr. Ir. Johan [email protected]

Business DeveloperBugra [email protected]

110 researchers

3 teams

5 spin-offs

Visit our website ETROVUB.BE

Page 2: EXPERTISE - VUB TechTransfer

EXPERTISE

1. Signal & Data acquisition systems• Advanced CMOS detectors for detecting multi-spectral optical signals in time domain reflectometry biomedical applications, including FLIM• Sensor systems for original industrial GHz-THz dielectric permittivity sensing applications targeting in line control for Industry 4.0• Sound source localization• Electrical signals in the domain of IoT & multi-sensor networks

2. Data modelling and representation• Sparse representation of high-dimensional data• Source separation techniques based on sparsity• Compressive sensing of signals in bandwidth constrained sensing systems• Super-resolution techniques• Sparse signal recovery/classification techniques based on the modelling of the correlation between the Target signal and the side information• Pre-processing techniques to facilitate processing of complex-numbered data• Coding of high-dimensional, large volume, dynamic data such as medical volumetric data, holographic data, point clouds, light fields, meshes• Quality of experience modelling and measurement• Implementation on parallel computing architectures

3. Data analysis and rendering• Multi-channel image processing for computer-aided diagnosis• Novel metrics for efficient multi-modal registration• Simultaneous feature selection and classification• Hyperspectral signal processing• Biometrics• e-Health gaming• Text to speech synthesis• Computer-generated holography and holographic and light field rendering