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.