The CAREER award will provide five years of funding to support Sriperumbudur’s research using the “kernel method” to handle data that is high-dimensional — where the number of variables under consideration is greater than the number of observations — and non-standard. Many scientific fields, including astrophysics, bioinformatics, finance, forensics, and social science, generate massive amounts of high-dimensional, non-standard data that is challenging to analyze. Sriperumbudur plans to explore a variety of research questions associated with the kernel method to determine a statistically optimal and computationally efficient way to deal with this complex data.
Prior to joining the faculty at Penn State in 2014, Sriperumbudur was a research fellow at the University of Cambridge in the U.K. from 2012 to 2014 and a postdoctoral research associate at University College London from 2010 to 2012. He earned a doctoral degree in electrical engineering at the University of California, San Diego, in 2010; a master’s degree in electrical engineering at the Indian Institute of Technology, Kanpur, in 2002; and a bachelor’s degree in electronics and communication engineering at Sri Venkateswara University in India in 1999.