Paul S. Weiss
A team of UCLA scientists has been awarded a prestigious $1 million grant from the W.M. Keck Foundation for research aimed at reshaping and improving how images and large data sets are collected and analyzed in science, engineering, medicine and other fields. "The Keck Foundation grants are very competitive, and we are honored to be selected," said Joseph Rudnick, dean of the UCLA Division of Physical Sciences and senior dean of UCLA's College of Letters and Science. "An outstanding team of UCLA scientists has put together three of UCLA's great strengths — imaging, mathematics and nanoscience — and their selection by the Keck Foundation is well-deserved." The UCLA project will expand real-world applications of "compressive sensing," a method that uses mathematical algorithms to reconstruct complex medical and scientific images and data sets precisely from sparse amounts of information — similar to an artist accurately filling in the details of a face when given a simple outline of its features. "Our goal is to leverage mathematical advances to transform the way imaging and related data are acquired, analyzed and understood," said the project's lead principal investigator, Paul S. Weiss, director of UCLA's California NanoSystems Institute (CNSI) and a distinguished professor of chemistry and biochemistry and of materials science and engineering who holds UCLA's Fred Kavli Chair in Nanosystems Sciences. "The result will be richer, more meaningful data through significant changes in how experiments are currently conducted and analyzed.
TO READ THIS ARTICLE, CREATE YOUR ACCOUNT
And extend your reading, free of charge and with no commitment.
