Federica Pes

Curriculum vitae

Post Doc
Molecolab Group
Dipartimento di Chimica e Chimica Industriale
Università di Pisa

PhD in Matematica e Informatica
CaNA Group
Dipartimento di Matematica e Informatica
Università degli Studi di Cagliari


Corsi e scuole:

Comunicazioni scientifiche in talk/poster:

  1. Congress of the Italian Society of Applied and Industrial Mathematics (SIMAI2023), Matera, Italia
    Invited talk: Riesz Representation Theorem as a tool for regularized solution of integral equations
  2. Numerical Analysis and Scientific Computation with Applications (NASCA23), Atene, Grecia
    Invited talk: A projection method for least-squares problems
  3. International Conference on Computational Science and its Applications (ICCSA2023), Online & Atene, Grecia
    Invited talk: Truncated Minimal-Norm Gauss-Newton Method Applied to the Inversion of FDEM Data
  4. Challenges and Advances in Numerical Analysis (CANA23), Cagliari, Italia
    Talk: A projection method for underdetermined linear least-squares problems
  5. PRIN2020 Workshop, Bologna, Italia
    Talk: Time reversible Grassmann extrapolation of density matrices as a tool to accelerate molecular dynamics
  6. GIMC SIMAI Young 2022, Pavia, Italia
    Invited talk: Minimal-norm Gauss-Newton method for large scale problems
  7. Recent Advancements in Computational and Learning Methods for Inverse Problems, Cagliari, Italia
    Poster: Riesz representers as a basis for regularized solution of first kind integral equations
  8. Functional Analysis, Approximation Theory and Numerical Analysis (FAATNA2022), Matera, Italia
    Invited talk: Nonlinear least-squares problems: a regularized approach for the large scale underdetermined case
  9. Numerical Methods for Large Scale Problems (NMLSP2022), Belgrado, Serbia
    Invited talk: Regularized solution in a RKHS of an overdetermined system of first kind integral equations
  10. 100 years Unione Matematica Italiana - 800 years Università di Padova, Padova, Italia
    Talk: Gauss-Newton type method for solving nonlinear least-squares problems
  11. SIAM Conference on Imaging Science (IS22), Online, originariamente programmata a Berlino, Germania
    Invited talk: On the computation of the minimal-norm solution of large scale nonlinear problems
  12. Numerical Methods and Scientific Computing (NMSC21), Luminy (Marsiglia), Francia
    Invited talk: Regularized minimal-norm solution of a system of first kind integral equations
  13. PRIMO Workshop 2021, Bologna, Italia
    Talk: Regularization of a system of Fredholm integral equations of the first kind
  14. International Conference on Computational Science and its Applications (ICCSA2021), Cagliari, Italia
    Invited talk: Minimal-norm RKHS solution of an integral model in geo-electromagnetism
  15. SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS21), Online, originariamente programmata a Milano, Italia
    Talk: Numerical Inversion of an Integral Model for EM Propagation
  16. SIAM Conference on Applied Linear Algebra (LA21), Online, originariamente programmata a New Orleans, USA
    Invited talk: A doubly relaxed minimal-norm Gauss-Newton method for nonlinear least-squares
  17. Partial Differential Equations in Analysis and Mathematical Physics, S. Margherita di Pula, Italia
    Poster: Solving nonlinear problems: different approaches to regularization
  18. Recent Advances in Scientific Computation (ETNA25), S. Margherita di Pula, Italia
    Talk: A comparison of regularization methods for solving nonlinear problems
  19. Due giorni di Algebra Lineare Numerica, Roma, Italia
    Talk: Regularization methods for nonlinear ill-posed problems

Comunicazioni scientifiche in seminari:

  1. Grassmann extrapolation of density matrices as a tool to accelerate Born-Oppenheimer molecular dynamics,
    NumPI Seminars, Dipartimento di Matematica, Università di Pisa, Italia
  2. On the computation of the minimal-norm solutipn of linear and nonlinear problems,
    Dipartimento di Chimica e Chimica Industriale, Università di Pisa, Italia
  3. Doubly relaxed minimal-norm solution for nonlinear least-squares problems,
    PRIMO Talks, online
  4. The minimal norm Gauss-Newton method and its regularized variants for solving nonlinear ill-posed problems,
    Department of Mathematical Sciences, Kent State University, USA


Attività didattica:


Via Giuseppe Moruzzi, 13
56124 - Pisa, Italy
Email: federica.pes@dcci.unipi.it
Email: federicapes26@gmail.com