Paul Didier

PhD in Digital Audio Signal Processing
Robert Jacobsens Vej 38b, 2300 Copenhagen, DK phmdidier@proton.me +45 55 26 02 99 GitHub LinkedIn Google Scholar

PhD graduate in Audio Signal Processing from KU Leuven, specialized in distributed signal processing for wireless acoustic sensor networks. Strong foundations in signal processing, mathematical modelling, and distributed systems, with hands-on experience integrating learning-based components into DSP pipelines. At ease across the full research cycle: algorithm design, theoretical analysis, simulation, and reproducible experimental work.

Digital Signal Processing Python & MATLAB Distributed Systems Scientific Research Autonomy & Accountability

Experience

June 2021 – Dec. 2025
Leuven, Belgium
PhD in Audio Signal Processing · KU Leuven
  • Developed distributed algorithms for noise reduction in wireless acoustic sensor networks.
  • Fellow in Horizon 2020 SOUNDS European Training Network.
  • Completed graduate-level Deep Learning course (17/20) — neural network theory, training dynamics, data-driven modelling.
  • Supervised M.Sc. thesis on learning-based distributed voice activity detection.
  • 10-month research stay at University of Oldenburg & Fraunhofer IDMT, Germany.
PythonDSP Distributed Algorithms Deep Learning
June 2020 – June 2021
Leuven, Belgium
Associate Researcher KU Leuven & ROCKWOOL International
  • Numerical modelling (FEM) and simulations using Ansys Mechanical APDL and MATLAB.
  • Joint academic–industrial project on optimization of reverberation room designs.
  • Part of the ISO 354 standard "Measurement of sound absorption in a reverberation room" revision taskforce.
FEMAnsysMATLABAcoustics
Dec. 2019 – May 2020
Copenhagen, Denmark
Acoustical Engineer · Oktogrid
  • Developed DSP algorithms for fault-detection in electrical transformers using MEMS microphones.
  • Work led to one accepted US patent.
Python DSPMEMSPatent
Sept. 2018 – May 2019
Lyngby, Denmark
Teaching Assistant Technical University of Denmark (DTU)
  • "Fundamentals of Acoustics and Noise Control" and "Advanced Acoustics" (M.Sc. courses).

Selected Projects

Feb. 2022 – Mar. 2025
dMWF & DANSE Simulation Environment (link to repo)
  • Framework for reproducible simulations of multi-microphone distributed processing algorithms in customizable acoustic environments.
PythonNumPySciPy
June 2022 – Mar. 2024
Spatial Audio Demo in Virtual Reality (link to repo)
  • Collaboratively developed a VR game introducing spatial audio to lay audiences.
  • Presented at the EU Commission Science Fair (Brussels) and to high school classes in Graz, Austria.
UnityC#Oculus VR

Education

Sept. 2017 – Aug. 2019
Lyngby, Denmark
M.Sc. Engineering Acoustics · Technical University of Denmark (DTU)
Sept. 2015 – Aug. 2019
Nancy, France
Civil Engineer Diploma · École Nationale Supérieure des Mines de Nancy
  • Major in Energy, Environment & Process Engineering.
Sept. 2013 – July 2015
Grenoble, France
Classes Préparatoires · Cycle Préparatoire Polytechnique de Grenoble
  • Undergraduate training program for engineering schools.

Skills & Languages

Strong

  • Programming & DSP: Python, MATLAB
  • Modelling & Simulations: Ansys (APDL)
  • Tools: Git, VS Code, LaTeX

Familiar with

  • Programming & DSP: C#, Simulink, JUCE
  • Modelling & Simulations: COMSOL, ODEON
  • Tools: Linux OS, Fusion 360

Languages

  • Native: French
  • Fluent: English (IELTS 8.0, 2016), Italian
  • Conversational: Danish, Dutch
  • Basic: German

Leisure & Interests

I enjoy diving into all things creative — music composition and DJing, digital graphic design, pencil drawing. I practice a range of sports recreationally, both individually (rock climbing, badminton, squash, alpine skiing) and in teams (volleyball). Recently I'm developing a newfound interest in sociology and philosophy, with personal ambitions to broaden my understanding of humanity through languages and to experiment with new forms of creativity.

References

Available upon request (PhD (co-)supervisor(s), M.Sc. thesis supervisor, other peers).

Publications

In reverse chronological order. Full-text PDFs available upon request.

  1. P. Didier, P. Behmandpoor, H. Gode, T. van Waterschoot, S. Doclo, J. Bitzer, and M. Moonen, "Distributed Multichannel Wiener Filter for Topology-Unconstrained Wireless Acoustic Sensor Networks," submitted March 2026, IEEE Open Journal of Signal Processing. [manuscript available upon request]
  2. P. Didier, T. van Waterschoot, S. Doclo, J. Bitzer, P. Behmandpoor, H. Gode, and M. Moonen, "Distributed Multichannel Wiener Filter for Wireless Acoustic Sensor Networks," submitted March 2026, IEEE Transactions on Audio, Speech and Language Processing. [arXiv]
  3. P. Didier, T. van Waterschoot, S. Doclo, J. Bitzer, and M. Moonen, "Fast-Converging Distributed Signal Estimation in Topology-Unconstrained Wireless Acoustic Sensor Networks," IEEE Transactions on Signal and Information Processing over Networks, 2025 (early access). [link]
  4. P. Didier, T. van Waterschoot, S. Doclo, J. Bitzer, and M. Moonen, "Improved Topology-Independent Distributed Adaptive Node-Specific Signal Estimation in Wireless Acoustic Sensor Networks," Proc. EUSIPCO, Palermo, Italy, 2025, pp. 2402–2407. [link]
  5. P. Didier, C. Van hoorickx, and E. Reynders, "Reverberation room design optimisation for low-frequency diffuse sound absorption testing," Applied Acoustics, vol. 228, 2025, pp. 110311. [link]
  6. P. Didier, P. Behmandpoor, T. van Waterschoot, and M. Moonen, "One-Shot Distributed Node-Specific Signal Estimation with Non-Overlapping Latent Subspaces in Acoustic Sensor Networks," Proc. IWAENC, Aalborg, Denmark, 2024, pp. 260–264. [link]
  7. P. Didier, T. van Waterschoot, S. Doclo, J. Bitzer, and M. Moonen, "Topology-Independent GEVD-Based Distributed Adaptive Node-Specific Signal Estimation in Ad-Hoc Wireless Acoustic Sensor Networks," Proc. EUSIPCO, Lyon, France, 2024, pp. 2317–2321. [link]
  8. K. Müller, B. Çakmak, P. Didier, S. Doclo, J. Østergaard, and T. Wolff, "Head Orientation Estimation with Distributed Microphones Using Speech Radiation Patterns" (Invited Paper), Proc. ASILOMAR, 2023. [link]
  9. P. Didier, T. van Waterschoot, S. Doclo, and M. Moonen, "Sampling Rate Offset Estimation and Compensation for Distributed Adaptive Node-Specific Signal Estimation in Wireless Acoustic Sensor Networks," IEEE Open Journal of Signal Processing, vol. 4, 2023, pp. 71–79. [link]
  10. P. Didier, C. Van hoorickx, and E. Reynders, "Numerical study of the accuracy and reproducibility of sound absorption measurements in reverberation rooms at low frequencies," Applied Acoustics, vol. 200, 2022, pp. 109047. [link]
  11. C. Van hoorickx, P. Didier, and E. Reynders, "Prediction and uncertainty quantification of the diffuse sound absorption of finite absorbers," Journal of Sound and Vibration, vol. 539, 2022, pp. 117258. [link]
  12. C. Van hoorickx, P. Didier, and E. Reynders, "Diffuse sound absorption modelling of complex finite absorbers using a hybrid deterministic-statistical energy analysis approach," Proc. Inter-Noise 2021, Washington, D.C., pp. 355–366. [link]
  13. P. Didier, C. Van hoorickx, and E. Reynders, "An optimization method for reverberation room design," Proc. Inter-Noise 2021, Washington, D.C., pp. 2360–2371. [link]
  14. P. Didier, C. Van hoorickx, and E. Reynders, "Numerical study of the impact of reverberation room design and test parameters on sound absorption measurements," Proc. Inter-Noise 2021, Washington, D.C., pp. 2372–2383. [link]