On October 29, 2024, the Multidimensional Signal Processing Research Area held a seminar titled Model Adaptation for Solving Inverse Problems in Signal Processing, presented by Dr. Mudassir Masood. The event provided a clear introduction to inverse problems and their critical role in applications such as medical imaging, geophysics, and radar, where the goal is to reconstruct original signals or images from incomplete or noisy data. Dr. Masood discussed how adaptive models can significantly improve the accuracy and reliability of these reconstructions. He also introduced a novel approach for customizing models to address challenges like model mismatch and noise, giving attendees insights into fundamental principles and future directions in this evolving research area.

 The following are the highlights of the event: