Hassan yazdanian

Postdoctoral researcher in the Inverse Problems group at the University of Oulu, specializing in computational imaging and inverse problems, with applications in medical imaging and seismic tomography. I develop advanced numerical methods for solving linear and nonlinear inverse problems.

Currently, my research focuses on Bayesian inversion and uncertainty quantification (UQ) in multi-contrast X-ray tomography (including attenuation, phase, and scattering contrast). I am passionate about bridging the gap between rigorous mathematical modeling and practical imaging challenges to improve reconstruction quality and deliver more interpretable results. In parallel, I am also working on seismic tomography, with a particular emphasis on goal-oriented UQ for ambient noise tomography, aiming to improve the reliability and interpretability of subsurface imaging in geophysical applications.