A. (Bert) de Vries


  • 958
    Citations - based on content available in repository [source: Scopus]
1986 …2024

Content available in repository

Personal profile


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):

  • SDG 3 - Good Health and Well-being


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