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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 Part-time 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. And on using these agents to automate the development of novel signal processing 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 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 part-time professor in the Signal Processing Systems Group at TU/e in 2012.

Affiliated with

* GN Hearing

* TU Eindhoven

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Hearing aids Engineering & Materials Science
Audition Engineering & Materials Science
Signal processing Engineering & Materials Science
Feedback Engineering & Materials Science
Noise abatement Engineering & Materials Science
Neural networks Engineering & Materials Science
Speech enhancement Engineering & Materials Science
Adaptive filters Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1986 2019

2 Citations (Scopus)

A factor graph description of deep temporal active inference

de Vries, A. & Friston, K. J., Oct 2017, In : Frontiers in Computational Neuroscience. 11, 16 p., 95

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Statistical Models
Biological Factors
Computer Simulation

The graphical brain: belief propagation and active inference

Friston, K. J., Parr, T. & de Vries, B., 7 Jun 2017, In : Network Neuroscience. 1, 4, p. 381-414 34 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Brain
Message passing
Scheduling
Processing
4 Citations (Scopus)

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 - 2213

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Hearing aids
auditory defects
Audition
hearing
impairment
95 Citations (Scopus)

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 journalArticleAcademicpeer-review

Open Access
File
Electrocardiography
Kalman filters
Adaptive filters
Gages
Monitoring
151 Citations (Scopus)

The gamma model : a new neural network for temporal processing

Vries, de, B., 1992, In : Neural Networks. 5, 4, p. 565-576

Research output: Contribution to journalArticleAcademicpeer-review

Neural networks
Processing
Data storage equipment
Weights and Measures
Backpropagation

Courses

Adaptive information processing

1/09/15 → …

Course

Student theses

A factor graph approach to Gaussian process preference learning

Author: Schoonderbeek, M., 31 Oct 2014

Supervisor: de Vries, A. (Supervisor 1)

Student thesis: Master

A Probabilistic Modeling Approach to One-Shot Gesture Recognition

Author: van Diepen, A., 31 May 2017

Supervisor: Cox, M. (Supervisor 1) & de Vries, B. (Supervisor 2)

Student thesis: Master

File

Bayesian linear regression for user-adaptive hearing aids

Author: Özer, S., 31 Aug 2007

Supervisor: de Vries, A. (Supervisor 1)

Student thesis: Master

File

De praktische en theoretische aspecten van de Shainin methode

Author: Vaessen, R., 30 Apr 1996

Supervisor: de Vries, A. (External coach), Hasselaar, M. (External person) (External coach) & Dijkstra, J. (Supervisor 1)

Student thesis: Master

Fast design of audio processing algorithms by interactive parameter exploration

Author: Xu, Z., 31 Aug 2013

Supervisor: de Vries, A. (Supervisor 1)

Student thesis: Master