The research of the BASP group spans the following areas:

  • BASPAdvanced signal processing - inverse problems, sparsity, wavelet techniques, compressed sensing, signal processing on the sphere;
  • Biomedical imaging - data acquisition and image reconstruction in magnetic resonance and ultrasound imaging
  • Astrophysics - imaging techniques in radio and optical interferometry, cosmological data analysis.

BASP comprises postdoctoral researchers and PhD students, affiliated to Heriot-Watt University (HWU) and École Polytechnique Fédérale de Lausanne (EPFL).

BASP International Map

BASP Research Group Video

'Leveraging novel sensing techniques and optimisation algorithms to advance astronomical and medical imaging'

This video highlights the research currently performed in the 'Biomedical and Astronomical Signal Processing' group led by Prof. Wiaux in Edinburgh.

Member List

Head of Group

Prof. Yves Wiaux, Professor HWU and Academic Guest EPFL

Postdoctoral researchers

Dr. Zhouye Chen, HWU

Dr. Arwa Dabbech, HWU

Dr. Ming Jiang, EPFL (from November 2017)

Dr. Audrey Repetti, HWU

Dr. Pierre-Antoine Thouvenin, HWU

PhD Students

Mr. Abdullah Abdulaziz, HWU

Mr. Adrien Besson, EPFL

Ms. Jasleen Birdi, HWU

Mr. Roberto Duarte Coello, HWU

Mr. Vijay Kartik, EPFL

Ms. Marica Pesce, HWU


Ms. Anna Auria (former PhD student EPFL)

Dr. Rafael Carrillo (former postdoc EPFL)

Dr. Alessandro Daducci (former postdoc EPFL)

Dr. Silvia Gazzola (former postdoc HWU)

Dr. Diana Khabipova (former PhD student EPFL)

Mrs. Valentina Masarotto (former PhD student EPFL)

Dr. Jason McEwen (former postdoc EPFL)

Dr. Alexandru Onose (former postdoc HWU)

Dr. Gilles Puy (former PhD student EPFL)

Open Positions

Postdoctoral and PhD student positions are regularly available to outstanding researchers in fields broadly related to the group’s activities.

Prestigious James Watt PhD scholarships are available at BASP to start in September 2018 in the broad field of Data Science and information engineering. 

Possible PhD subjects include, but are not limited to:

  • Fast, parallel and distributed compressive imaging algorithms (optimisation, Bayesian inference, high performance computing)
  • Theory of compressive imaging (signal models, reconstruction algorithms, Bayesian understanding)
  • Advanced signal processing for radio interferometric imaging in the context of SKA (dimensionality reduction, wide-band imaging, calibration)
  • Phase retrieval for optical interferometric imaging
  • Manifold compressed sensing for quantitative MR imaging (MR fingerprinting, brain microstructure mapping from diffusion MRI)
  • Advanced signal processing for quantum imaging (light-in-flight single-photon imaging, imaging around the corner)

For an expression of interest and details on the formal application process, please contact Prof. Wiaux, by email to including your CV and a short motivation letter.