Our work is focused on developing foundational techniques to process time series from decision science applications. More specifically, we concentrate on developing resilient algorithms to compare similarity of time series from large scientific datasets for the purpose of classifying and predicting climate and meteorological patterns.
Reflecting on her summer experiences at Berkeley Lab, Dr. Lazar said: “For me personally, SRP proved to be an excellent opportunity, to expand the number of researchers I collaborate with, in a research-intensive setup.
Dr. Alina Lazar is a Professor of Computer Science in the Department of Computer Science and Information Systems at Youngstown State University.