"Let the Data Speak for Itself: Data-Driven Learning of Sparse Signal Models"
Fundamental problems in science and engineering have become increasingly interdisciplinary, requiring knowledge and expert input from several areas of research. This is both challenging and exciting. The primary challenge faced by researchers is to keep abreast of new developments in tangential research areas to their own, not to mention those which are considered different. The increasing complexity of newly arising problems has on the other hand, invariably required a multifaceted approach to viewing and understanding them, and ultimately produce a solution.
