Bayesian Intelligent Autonomous Systems Lab

Organization profile

Introduction / mission

We are an academic research team within the Signal Processing Systems group at Eindhoven University of Technology. Our main research interest focusses on developing autonomous agents that learn through interacting with their environment and using these agents to automate the development of new signal processing systems. Typical application areas include (medical) device personalization, automated vehicle control and robotics.

Our research is strongly inspired by developments in Bayesian machine learning and Computational Neurosciences. An important research focus area is our quest to develop (machine learning) technology to support situated personalization of audio processing systems such as hearing aids. 

Highlighted phrase

Developing autonomous agents that learn from their environment.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Hearing aids Engineering & Materials Science
Signal processing Engineering & Materials Science
Audition Engineering & Materials Science
Acoustic waves Engineering & Materials Science
Feedback Engineering & Materials Science
Message passing Engineering & Materials Science
Speech enhancement Engineering & Materials Science
Processing Engineering & Materials Science

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

Research Output 1999 2019

A factor graph approach to automated design of Bayesian signal processing algorithms

Cox, M., van de Laar, T. & de Vries, B., 1 Jan 2019, In : International Journal of Approximate Reasoning. 104, p. 185-204 20 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
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Factor Graph
Signal Processing
Signal processing
Message passing
Message Passing

Automated design of Bayesian Signal processing algorithms

van de Laar, T., 12 Jun 2019, (Accepted/In press) Eindhoven: Technische Universiteit Eindhoven.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Performance of intelligent lighting sensor networks : analysis, modeling and distribute architectures

Papatsimpa, C., 27 May 2019, (Accepted/In press) Eindhoven: Technische Universiteit Eindhoven.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

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

Machine learning framework for Bayesian signal processing

Author: Bagautdinov, T., 31 Aug 2013

Supervisor: de Vries, A. (Supervisor 1) & Pechenizkiy, M. (Supervisor 2)

Student thesis: Master

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