6.11.2024 Invited talk: Electrical impedance tomography and virtual X-rays. Applied and Computational Mathematics Seminar, University of Edinburgh.
31.10.2024 Invited talk: Electrical impedance tomography and virtual X-rays. Applied & Computational Math Seminar, Virginia Tech.
17.10.2024 Invited talk: Electrical impedance tomography and virtual X-rays. Joint IDA Seminar, Colorado State University.
24.9.2024 Invited talk: Electrical impedance tomography and virtual X-rays. Computational Mathematics Seminar, Flatiron Institute, New York, USA.
10.9.2024 Invited talk: CT scans without X-rays: parallel-beam imaging from nonlinear current flows. Applied mathematics colloquium, Columbia University, New York, USA.
15.8.2024 Plenary talk: The magic of math: three-dimensional X-ray vision, Science on Stage Conference, Turku, Finland.
22.5.2024 Invited talk: Virtual X-rays: parallel-beam tomography hidden within electric probing, Big Data Inverse Problems, Edinburgh.
22.5.2024 Public talk: The magic of math: three-dimensional X-ray vision, ICMS Public Lecture, Edinburgh, UK.
18.3.2024 Plenary talk: Virtual X-rays: parallel-beam tomography hidden within electric probing, 94th GAMM conf., Magdeburg, Germany.
9.1.2024 Invited talk: Case study of industrial inverse problems in Finland: X-ray tomography, Institute of Mathematics for Industry, Kyushu University, Fukuoka, Japan.
12.9.2023 Fractal priors for imaging using random wavelet trees, Applied Inverse Problems (AIP) conference, Göttingen, Germany.
26.8.2023 Electrical impedance tomography, virtual X-rays, and stroke, The International Congress on Industrial and Applied Mathematics (ICIAM), Tokyo, Japan.
11.8.2023 Complex principal type partial differential operators for medical imaging, International Workshop on Operator Theory and its Applications (IWOTA), University of Helsinki, Finland.
18.4.2023 Math Encounters: Three-dimensional x-ray vision: how tomography uses math to reveal the invisible, Museum of Mathematics, New York City, USA.
5.10.2022 Tomography Across the Scales: Minicourse Invitation to sparse-data X-ray Tomography, Training School Inverse Problems on Medical Imaging and Small Scales, Linz, Austria.
28.7.2022 Minicourse Invitation to X-ray Tomography, CIMPA Summer School Mathematical Methods in Data Analysis, Tirana, Albania.
21.4.2022 Invited talk: Glottal Inverse Filtering: from Stephen Hawking’s voice to Siri and Alexa, Tulane Math Colloquium
24.3.2022 Invited talk: Electrical imaging of the brain: a fresh look at impedance tomography, SIAM Conference on Imaging Science (online).
18.2.2022 Invited talk: Electrical impedance tomography using virtual X-rays, deconvolution, and machine learning, Conference on Mathematics of Wave Phenomena, Karlsruhe, Germany.
14.12.2021 A new view of electrical impedance tomography, 27th Inverse Days, University of Tampere, Finland.
28.9.2021 Invited talk: Learning from Electric X-ray images: a novel view of electrical impedance tomography, Conference on System Modelling and Optimization (online).
6.9.2021 Invited talk: Two materials, two energies: regularising X-ray tomography with an inner product penalty
30.8.2021 Invited talk: Learning from electric X-ray images: the new EIT, Optimization techniques for inverse problems IV (online).
19.3.2021 Invited talk: The magic of math: three-dimensional X-ray vision, Coloquio MTM UFSC (Online).
10.3.2021 Invited talk: Learning from electric X-ray images: the new EIT, MFO Workshop Deep Learning for Inverse Problems (Online).
4.3.2021 Invited talk: Learning from electric X-ray images: the new EIT, Zoom Inverse Problems seminar, University of Helsinki, Finland.
30.9.2020 Invited talk: Classifying stroke from electric data by nonlinear Fourier analysis and machine learning, One World IMAGINE seminar, University of Helsinki, Finland.
3.9.2020 Electrical impedance tomography, enclosure method and machine learning, IEEE MLSP 2020, Aalto university, Finland.
5.3.2020 Invited talk: Electrical impedance tomography, enclosure method and machine learning, Inverse problems seminar, Colorado State University, USA.
28.2.2020 Invited talk: Classifying stroke from electric boundary data by nonlinear Fourier analysis, Applied mathematics seminar, Rutgers University, USA.
21.1.2020 Invited talk: Introduction to machine learning, Mathematics seminar, Tokyo University of Science, Japan.
21.1.2020 Invited talk: Complex principal type operators in the inverse conductivity problem, Inverse problems seminar, The University of Tokyo, Japan.
21.1.2020 Invited talk: Electrical impedance tomography, enclosure method and machine learning, Mathematics seminar, Tokyo University of Science, Japan.
15.1.2020 Microcourse on computational inversion, Graduate school in inverse problems, Hiroshima University, Japan.
15.1.2020 Invited talk: The magic of math: three-dimensional X-ray vision, Applied Mathematics Colloquium, Hiroshima University, Japan.