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GitHub LinkedIn  Tom Sprunck

    Postdoctoral researcher in applied mathematics


Research Theme


GitHub
My research focuses on resolving diverse inverse problems. The objective of my thesis was to retrieve the geometric parameters of a room using acoustic measurements, particularly room impulse responses (RIR).

The approaches I used relied on super-resolution techniques as well as shape optimization.

Keywords: Inverse problems, signal processing, super-resolution, shape optimization.

Scientific Presentations

Oral Presentations

  • MACARON Inria team retreat seminar, February 2024, Belmont.
  • Team seminar, January 2024, IECL, Université de Lorraine, Nancy.
  • IRMA PhD Student Seminar, December 2023, Université de Strasbourg.
  • ANR SHAPO Meetings, April 2023, Sorbonne Université.
  • 24th International Congress on Acoustics, November 2022, Gyeongju, Korea.
  • IRMA PhD Student Seminar, May 2022, Université de Strasbourg.
  • 16th French Acoustics Congress, April 2022, Aix Marseille Université.

    • Poster Presentations

  • IEEE International Conference on Acoustics, Speech, and Signal Processing , June 2023, Rhodes, Greece.
  • 45th National Congress on Numerical Analysis , June 2022, Evian.

    • Publications


    Hearing the Shape of a Cuboid Room Using Sparse Measure Recovery .
    and A. Deleforge, C. Foy, Y. Privat and T. Sprunck. Inverse Problems, vol. 41, no. 9, 2025. [Hal] [arXiv]
    Fully Reversing the Shoebox Image Source Method: From Impulse Responses to Room Parameters .
    T. Sprunck, A. Deleforge, Y. Privat, and C. Foy. IEEE Transactions on Audio, Speech and Language Processing, vol. 33, pp. 1023-1033, 2025. [Hal] [arXiv]
    Gridless 3D Recovery of Image Sources from Room Impulse Responses .
    T. Sprunck, A. Deleforge, Y. Privat, and C. Foy. IEEE Signal Processing Letters, vol. 29, pp. 2427-2431, 2022. [Hal] [arXiv]