Projects per year
Organisation 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
Organisational profile
We are an academic research team in the Signal Processing Systems group (EE department) at Eindhoven University of Technology. Our main research interest is in 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. We “eat our own dogfood” by immersing ourselves in complex acoustic situations and use our own tools to optimize audio processing algorithms under in-situ conditions. This leads to new problems that drive our next research steps.
Fingerprint
Collaborations and top research areas from the last five years
Profiles
-
Sepideh Adamiat
- Electrical Engineering, BIASlab - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
-
Semih Akbayrak, MSc
- Electrical Engineering, Signal Processing Systems - Doctoral Candidate
- Electrical Engineering, BIASlab - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
-
Dmitry Bagaev, MSc
- Electrical Engineering, Signal Processing Systems - Doctoral Candidate
- Electrical Engineering, BIASlab - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
-
CoHear: Hearing Care Collaborative Hearing Device Design
de Vries, A., van de Laar, T. W., Șenöz, I., Akbayrak, S., Podusenko, A., Bagaev, D., van Erp, B., van der Hagen, D., van der Hagen, D., Lukashchuk, M., de Vries, A. & Adamiat, S.
2/01/17 → 30/09/24
Project: Research direct
-
STW Zero 15-06 P2 Autonomous Acoustic Systems
Stuijk, S., Wijnings, P. W. A., Roa Villescas, M., van der Hagen, D. & de Mol-Regels, M.
1/07/17 → 30/06/22
Project: Research direct
-
Automating Model Comparison in Factor Graphs
van Erp, B., Nuijten, W. W. L., van de Laar, T. & de Vries, B., Aug 2023, In: Entropy. 25, 8, 23 p., 1138.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Downloads (Pure) -
Message passing-based system identification for NARMAX models
Podusenko, A., Akbayrak, S., Șenöz, I., Schoukens, M. & Kouw, W. M., 10 Jan 2023, 2022 IEEE 61st Conference on Decision and Control (CDC). Institute of Electrical and Electronics Engineers, p. 7309-7314 6 p. 9992891Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Downloads (Pure) -
RxInfer: A Julia package for reactive real-time Bayesian inference
Bagaev, D., Podusenko, A. & de Vries, B., 20 Apr 2023, In: Journal of Open Source Software. 8, 84, 6 p., 5161.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile53 Downloads (Pure)
Datasets
-
Orientation of the arm used for gesture recognition
Waeijen-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
-
biaslab/RxInfer.jl: v2.10.1
Bagaev, D. (Contributor) & Mykola, L. (Contributor), Zenodo, 27 Mar 2023
DOI: 10.5281/zenodo.7775770, https://zenodo.org/record/7775770
Dataset
-
biaslab/RxInfer.jl: v2.10.2
Bagaev, D. (Contributor), Zenodo, 31 Mar 2023
DOI: 10.5281/zenodo.7789190, https://zenodo.org/record/7789190
Dataset
Prizes
-
Nomination TU/e Team Science Award
Kouw, Wouter (Recipient), 8 Jun 2023
Prize: TU/e › Other › Scientific
-
GraphPPL.jl: a package for specification of probabilistic models | Dmitry Bagaev | JuliaCon 2022
Dmitry Bagaev (Speaker)
28 Jul 2022Activity: Talk or presentation types › Contributed talk › Professional
-
ReactiveMP.jl: Reactive Message Passing-based Bayesian Inference | Dmitry Bagaev | JuliaCon2021
Dmitry Bagaev (Speaker)
28 Jul 2021Activity: Talk or presentation types › Contributed talk › Professional
-
JuliaCon 2020 | Rocket.jl: A Julia package for reactive programming
Dmitry Bagaev (Speaker)
30 Jul 2020Activity: Talk or presentation types › Contributed talk › Professional
Press/Media
-
Message passing-based inference in hierarchical autoregressive models
21/12/22
1 item of Media coverage
Press/Media: Expert Comment
-
Eindhoven University of Technology: Social Heroes, Flight of the Hummingbird, and FameLab Winners All on Heroes Like You TV
Patrick W.A. Wijnings & B. Fitzgerald
30/06/21
1 item of Media coverage
Press/Media: Expert Comment
-
Student theses
-
A factor graph approach to Gaussian process preference learning
Author: Schoonderbeek, M. G., 31 Oct 2014Supervisor: de Vries, A. (Supervisor 1)
Student thesis: Master
-
A Probabilistic Modeling Approach to One-Shot Gesture Recognition
Author: van Diepen, A., 31 May 2017Supervisor: Cox, M. (Supervisor 1) & de Vries, B. (Supervisor 2)
Student thesis: Master
File -
A Real-World Implementation of Active Inference
Author: Ergül, B., 29 Apr 2020Supervisor: de Vries, A. (Supervisor 1)
Student thesis: Master
File