Prof. Yang Liu, Ph.D., received his Ph.D. in Mathematics from the University of Georgia in the United States, and previously received his M.S. (Master of Science) in Mathematics from a top university in China (according to U.S. News & World Report).

He has taught a wide range of mathematics and statistics courses at Michigan State University. His scholarship and teaching have garnered widespread acclaim from many students. He has made significant contributions to the fields of signal processing and random matrices, and has published over 60 papers and books in the mathematical sciences in publishers and peer-reviewed journals such as Applied and Computational Harmonic Analysis, Mathematics of Computation, Journal of Pseudo-Differential Operators and Applications, and so on. He has also authored numerous monographs, textbooks, and research books, including a monograph on compressed sensing and random matrices. He has received prestigious awards, such as a First Prize for a top high-level paper in Natural Sciences, a PRIMA Congress award from the National Science Foundation, along with several travel and scholarship awards from his previous institutions, and was invited to give research talks in the international conference on Approximation Theory and some other conferences.

In addition to his research and teaching, he has actively contributed to professional service by serving as an Editorial Board Member for numerous international peer-reviewed academic journals, reviewing submissions for Mathematical Reviews of the American Mathematical Society (AMS), and evaluating papers for more than 10 other scholarly journals.