Ivan Selesnick

About

Ivan Selesnick is a Professor at New York University, United States. His research areas focus on signal processing, particularly in sparse signal denoising, statistical modeling, and optimization techniques. He has contributed to various publications, including works on Kalman filters, dictionary learning, and convex optimization methods in the context of fault diagnosis and image processing.