Speaker: Dr. Muzaffer Ayvaz

This seminar addresses multivariate polynomial optimization problems frequently encountered in science and engineering. It discusses the computational challenges of solving high-degree and large-scale problems using classical methods and explains how these problems can be solved in a more scalable and efficient manner using low-rank tensor representations, with examples from signal processing, machine learning, and artificial intelligence applications.