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Mathematics
Finland
2026

D-Index & Metrics

Mathematics

D-Index
49
Citations
9833
World Ranking
1146
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Mathematics in Finland Leader Award
  • 2025 - Research.com Mathematics in Finland Leader Award

Overview

Matti Lassas is affiliated with the University of Helsinki in Finland and has contributed extensively to the field of mathematics, with a focus on inverse problems and mathematical physics. Their work spans various subfields including mathematical physics, computational theory and mathematics, applied mathematics, radiology, nuclear medicine and imaging, and biomedical engineering.

Their research covers multiple key topics including:

  • Numerical methods in inverse problems
  • Advanced Mathematical Modeling in Engineering
  • Medical Imaging Techniques and Applications
  • Seismic Imaging and Inversion Techniques
  • Spectral Theory in Mathematical Physics
  • Topological and Geometric Data Analysis
  • Advanced X-ray and CT Imaging

Lassas has published numerous papers in well-known academic venues. Recent notable publications include:

  • "Inverse problem for Einstein-scalar field equations," 2022, Duke Mathematical Journal
  • "Inverse problems for elliptic equations with power type nonlinearities," 2020, Journal de Mathématiques Pures et Appliquées
  • "Detection of Hermitian connections in wave equations with cubic non-linearity," 2021, Journal of the European Mathematical Society
  • "Uniqueness, reconstruction and stability for an inverse problem of a semi-linear wave equation," 2022, Journal of Differential Equations
  • "Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography," 2020, arXiv (Cornell University)

Frequently publishing in venues such as arXiv (Cornell University), Inverse Problems and Imaging, SIAM Journal on Mathematical Analysis, Journal of Differential Equations, and Analysis & PDE, Lassas has an extensive research output primarily in mathematics.

Their collaborations include frequent co-authors in the field such as Maarten V. de Hoop, Jinpeng Lu, Samuli Siltanen, Tony Liimatainen, and Lauri Oksanen, reflecting ongoing joint efforts in inverse problems and related areas.

Best Publications

  • On nonuniqueness for Calderón’s inverse problem

    Allan Greenleaf;Matti Lassas;Gunther Uhlmann

  • Inverse Boundary Spectral Problems

    Alexander P. Katchalov;Yaroslav V. Kurylev;Matti Lassas

  • Anisotropic conductivities that cannot be detected by EIT.

    Allan Greenleaf;Matti Lassas;Gunther Uhlmann

  • Electromagnetic wormholes and virtual magnetic monopoles from metamaterials.

    Allan Greenleaf;Yaroslav Kurylev;Matti Lassas;Gunther Uhlmann

  • Cloaking Devices, Electromagnetic Wormholes, and Transformation Optics

    Allan Greenleaf;Yaroslav Kurylev;Matti Lassas;Gunther Uhlmann

  • Full-Wave Invisibility of Active Devices at All Frequencies

    Allan Greenleaf;Yaroslav V. Kurylev;Matti Lassas;Gunther Uhlmann

  • Calderóns' Inverse Problem for Anisotropic Conductivity in the Plane

    Kari Astala;Lassi Päivärinta;Matti Lassas

  • On the existence and convergence of the solution of PML equations

    Matti Lassas;Erkki Somersalo

  • On determining a Riemannian manifold from the Dirichlet-to-Neumann map

    Matti Lassas;A. N. D. Gunther Uhlmann

  • Discretization-invariant Bayesian inversionand Besov space priors

    Matti Lassas;Eero Saksman;Samuli Siltanen

  • Statistical inversion for medical x-ray tomography with few radiographs: I. General theory

    S Siltanen;V Kolehmainen;S Järvenpää;J P Kaipio

  • REGULARIZED D-BAR METHOD FOR THE INVERSE CONDUCTIVITY PROBLEM

    Kim Knudsen;Matti Lassas;Jennifer L. Mueller;Samuli Siltanen

  • Inverse problems for Lorentzian manifolds and non-linear hyperbolic equations

    Yaroslav Kurylev;Matti Lassas;Gunther Uhlmann;Gunther Uhlmann

  • Wavelet-based reconstruction for limited-angle X-ray tomography

    M. Rantala;S. Vanska;S. Jarvenpaa;M. Kalke

  • INVISIBILITY AND INVERSE PROBLEMS

    Allan Greenleaf;Yaroslav V. Kurylev;Matti Lassas;Gunther Uhlmann

  • Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography

    Tatiana A. Bubba;Gitta Kutyniok;Matti Lassas;Maximilian März

  • The Dirichlet-to-Neumann map for complete Riemannian manifolds with boundary

    Matti Lassas;Michael E. Taylor;Gunther Uhlmann

  • Can one use total variation prior for edge-preserving Bayesian inversion?

    Matti Lassas;Samuli Siltanen

  • Boundary regularity for the Ricci equation, geometric convergence, and Gel’fand’s inverse boundary problem

    Michael T. Anderson;Atsushi Katsuda;Yaroslav Kurylev;Matti Lassas

  • Statistical inversion for medical x-ray tomography with few radiographs: II. Application to dental radiology.

    V. Kolehmainen;S. Siltanen;Seppo Järvenpää;J. Kaipio

  • Calderon's inverse problem for anisotropic conductivity in the plane

    Kari Astala;Matti Lassas;Lassi Paivarinta

Frequent Co-Authors

Gunther Uhlmann
Gunther Uhlmann University of Washington
Ville Kolehmainen
Ville Kolehmainen University of Eastern Finland
Erkki Somersalo
Erkki Somersalo Case Western Reserve University
Maarten V. de Hoop
Maarten V. de Hoop Rice University
Mikko Salo
Mikko Salo University of Jyväskylä
Jussi Timonen
Jussi Timonen University of Jyväskylä
Jari P. Kaipio
Jari P. Kaipio University of Auckland
Plamen Stefanov
Plamen Stefanov Purdue University West Lafayette
Michael T. Anderson
Michael T. Anderson Stony Brook University
Eero Saksman
Eero Saksman University of Helsinki

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