Our research group specializes in advanced statistical learning and data-driven methodologies, with a focus on statistical signal processing applications such as array processing and wireless communications. As data grows in size and complexity, the fusion of data-driven approaches with classical signal processing principles has become increasingly critical.

One focal area of our research is high-dimensional (HD) sparse data, i.e., data for which the sample size n is smaller or not much larger than the dimension p of the data set, where p is potentially very large. In such cases, the number of parameters to estimate can greatly exceed the number of observations. This demands approaches such as regularized optimization or imposing some structure on the unknown parameter to reduce the number of unknowns.

Doctoral students

  • Xinjue Wang (6/2022 - )
  • Lei Wang (3/2024 - )
  • Juho Kuikka (9/2024-)

    • Visitors

  • Leatile Marata (8/2023-2/2024)

    • Alumni

    raninen Elias Raninen, engineer at Nokia Bell Labs
    Doctoral student 6/2017- 6/2022. Thesis: Contributions to the Theory and Estimation of High-dimensional Covariance Matrices
    M.Sc. student (6/2016-5/2017). Thesis: Scaled sparse linear regression with the elastic net

    tabassum Muhammad Naveed Tabassum, R&D and Specification Engineer at Nokia
    Doctoral student 1/2016 - 3/2021.
    Thesis: Sparsity Driven Statistical Learning for High-Dimensional Regression and Classification

    ouzir Nora Ouzir, Assistant professor at CentraleSupelec, France.
    post-doc 11/2018 - 12/2020 (jointly supervised with Prof. S. Vorobyov)
    Topic: ultrasound imaging, dictionary learning

    miettinen Jari Miettinen
    post-doc 8/2017 - 7/2020 (jointly supervised with Prof. S. Vorobyov)
    Topic: Graph signal processing

    ammar Ammar Mian, Associate professor at University Savoie Mont Blanc, France
    post-doc 10/2019 - 9/2020
    Topic: Machine learning methods on manifolds, pedestrian detection.

    basiri
     Shahab Basiri, Reserach Scientist at Varian Medical Systems
    Doctoral student 3/2014 - 6/2018.
    Thesis: Robust large-scale statistical inference and ICA using bootstrapping
    M.Sc. student 7/2012 - 2/2014.
    Thesis: Hypothesis Testing in Independent Component Analysis

    ejaz Aqib Ejaz, Senior Engineer at Emberion Oy
    M.Sc. student, 12/2014 - 5/2015.
    Thesis: Algorithms for Sparse Signal Recovery in Compressed Sensing

    ejaz Alireza Razavi, Senior AI Development Engineer at Scania Group
    Post-doctoral fellow, 9/2011-8/2012. Topic: Compressed sensing.