Mansoure Giahi Sabour

I am a Ph.D. researcher in the inverse problem group, mathematics department, faculty of sciences. Fascinated by how mathematics can make the invisible visible. I focus on Bayesian reconstruction methods for computed tomography especially in cases where the data is incomplete and uncertainty is high. My goal is to develop algorithms to optimally reduce the uncertainty raised from sparse and limited angle settings , and to transform incomplete, noisy, uncertain data, into a reliable reconstruction.

I love exploring the powerful synergy between optimization and sampling , I believe that, they together open new possibilities for solving challenging inverse problems.