Invited talk: Glottal Inverse Filtering: from Stephen Hawking’s voice to Siri and Alexa, Tulane Math Colloquium
(online), April 21, 2022. PDF (15.2 MB)
Scientific presentations
Invited talk: Electrical imaging of the brain: a fresh look at impedance tomography
SIAM Conference on Imaging Science, minisymposium Recent Advances in Parameter Estimation for Medical Imaging,(online), March 24, 2022. PDF (10 MB)
Invited talk: Electrical impedance tomography using virtual X-rays, deconvolution, and machine learning
Conference on Mathematics of Wave Phenomena, minisymposium Microlocal concepts for imaging by waves, Karlsruhe, Germany (online), Feb 18, 2022. PDF (10 MB)
A new view of electrical impedance tomography
27th Inverse Days, University of Tampere, Finland, December 14, 2021. PDF (12 MB)
Invited talk: Intuitive approach to tomography
Intensive course on computed tomography, University of Oulu, Finland, November 1, 2021. (Talk given online via video stream) PDF (64 MB)
Invited talk: Learning from Electric X-ray images: a novel view of electrical impedance tomography
Workshop: Deep learning and inverse problems, Isaac Newton Institute, Cambridge, UK, September 28, 2021. (Talk given online via video stream) PDF (15 MB)
Invited talk: Two materials, two energies: regularising X-ray tomography with an inner product penalty
Optimization techniques for inverse problems IV, Modena, Italy, September 6, 2021. (Talk given online via video stream) PDF (25 MB)
Invited talk: Learning from electric X-ray images: the new EIT
29th IFIP TC7 Conference on System Modelling and Optimization, MSIM4: Nonlocal Methods for Inverse Problems, Quito, Equador, August 31, 2021. (Talk given online via video stream) PDF (11 MB)
Invited talk: The magic of math: three-dimensional X-ray vision
Coloquio MTM UFSC, Federal Univ. of St. Catarina, Brazil, March 19, 2021. (Talk given online via video stream) PDF (55.2 MB)
Invited talk: Learning from electric X-ray images: the new EIT
MFO Workshop Deep Learning for Inverse Problems, Mathematisches Forschungsinstitut Oberwolfach, Germany, March 10, 2021. (Talk given online via video stream) PDF (27 MB)