Projects per year
Personal profile
Quote
I believe that development of signal processing systems will in the future be largely automated by autonomously operating agents that learn purposeful (signal processing) behavior from situated environmental interactions.
Research profile
Bert de Vries is a Professor in the Signal Processing Systems group. His research focuses on the development of intelligent autonomous agents that learn from in-situ interactions with their environment. We aim to use these agents to automate the development of novel signal processing and control algorithms, see http://biaslab.org. Our research draws inspiration from diverse fields including computational neuroscience, Bayesian machine learning, and signal processing systems. A current major application area concerns the personalization of medical signal processing systems such as hearing aid algorithms. In the past, De Vries contributed to research projects over a wide range of signal and image processing topics, such as word spotting, financial market prediction, and breast cancer detection from mammograms.
Academic background
Bert de Vries received M.Sc. (1986) and Ph.D. (1991) degrees in Electrical Engineering from Eindhoven University of Technology (TU/e) and the University of Florida, respectively. From 1992 to 1999, he worked as a research scientist at Sarnoff Research Center in Princeton (NJ, USA). Since 1999, he has been employed in the hearing aids industry, both in engineering and managerial positions. De Vries was appointed professor in the Signal Processing Systems Group at TU/e in 2012.
Affiliated with
* GN Hearing
* TU Eindhoven
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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CRT-OND-BayesBrain: The World's First Brain-on-Chip AI Computer
de Vries, A. (Project Manager), Sijbesma, R. P. (Project member), Adamiat, S. (Project member) & Kouw, W. (Project member)
1/10/21 → 31/03/26
Project: First tier
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TKI-HTSM/21.0161/2112P09 Auto-AR: Automated Situated Design of Augmented Hearing Reality Algorithms
de Vries, A. (Project Manager), Șenöz, I. (Project member), Podusenko, A. (Project member), Bagaev, D. (Project member), Nguyen, H. (Project member), Lukashchuk, M. (Project member) & Nuijten, W. W. L. (Project member)
1/10/21 → 30/09/26
Project: Third tier
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Information Processing Technology for Personalization of Hearing Instruments
van der Hagen, D. (Project communication officer), de Vries, A. (Project Manager), van de Laar, T. W. (Project member), Cox, M. G. H. (Project member), Adamiat, S. (Project member), Kouw, W. (Project member) & van der Sommen, F. (Project member)
1/04/14 → 31/03/26
Project: Third tier
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STW Zero 15-06 P2 Autonomous Acoustic Systems (SPS)
de Vries, A. (Project Manager), Waeijen-van Diepen, A. (Project member), Podusenko, A. (Project member) & van der Hagen, D. (Project communication officer)
1/06/17 → 9/06/24
Project: Research direct
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CoHear: Hearing Care Collaborative Hearing Device Design
van der Hagen, D. (Project communication officer), de Vries, A. (Project Manager), van de Laar, T. W. (Project member), Șenöz, I. (Project member), Akbayrak, S. (Project member), van Erp, B. (Project member), Lukashchuk, M. (Project member), Podusenko, A. (Project member), Kouw, W. (Project member), Bagaev, D. (Project member), Nisslbeck, T. (Project member) & Adamiat, S. (Project member)
2/01/17 → 1/07/25
Project: Third tier
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A factor graph description of deep temporal active inference
de Vries, A. & Friston, K. J., 18 Oct 2017, In: Frontiers in Computational Neuroscience. 11, 16 p., 95.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile18 Citations (Scopus)633 Downloads (Pure) -
The graphical brain: belief propagation and active inference
Friston, K. J., Parr, T. & de Vries, B., 1 Dec 2017, In: Network Neuroscience. 1, 4, p. 381-414 34 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile315 Citations (Scopus)292 Downloads (Pure) -
A probabilistic modeling approach to hearing loss compensation
van de Laar, T. W. & de Vries, A., Nov 2016, In: IEEE Transactions on Audio, Speech, and Language Processing. 24, 11, p. 2200 - 2213Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile13 Citations (Scopus)353 Downloads (Pure) -
An adaptive Kalman filter for ECG signal enhancement
Vullings, R., Vries, de, B. & Bergmans, J. W. M., 2011, In: IEEE Transactions on Biomedical Engineering. 58, 4, p. 1094-1103 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile164 Citations (Scopus)1763 Downloads (Pure) -
The gamma model : a new neural network for temporal processing
Vries, de, B., 1992, In: Neural Networks. 5, 4, p. 565-576Research output: Contribution to journal › Article › Academic › peer-review
193 Citations (Scopus)3 Downloads (Pure)
Datasets
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Orientation of the arm used for gesture recognition
van Diepen, A. (Creator), de Vries, A. (Creator) & Cox, M. G. H. (Creator), 4TU.Centre for Research Data, 6 Jan 2020
DOI: 10.4121/uuid:6057a153-43dc-4711-b5d9-090f9857a4de
Dataset
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biaslab/RxInfer.jl: v2.10.1
Bagaev, D. (Contributor), Podusenko, A. (Creator) & de Vries, A. (Creator), Zenodo, 27 Mar 2023
DOI: 10.5281/zenodo.7775770, https://zenodo.org/record/7775770
Dataset
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biaslab/RxInfer.jl: v2.10.2
Bagaev, D. (Contributor), Podusenko, A. (Creator) & de Vries, A. (Creator), Zenodo, 31 Mar 2023
DOI: 10.5281/zenodo.7789190, https://zenodo.org/record/7789190
Dataset