Department of Computational and Data Sciences
Department Seminar
Speaker : Prof. S. Lakshmivarahan, School of Computer Science, University of Oklahoma and International Visiting Faculty, EE Department, IISc.
Title : Randomized framework for solving Large Scale Least Squares Problems
Date & Time: January 14th, 2026 (Wednesday), 04:00 PM
Venue : # 102, CDS Seminar Hall
ABSTRACT
This talk will discuss two randomized strategies for solving large scale linear least squares problems. The techniques are based down scaling the problem using a combination of randomized Hadamard transform with (a) adaptive sampling technique and (b) using random projection.
BIO: After completing his PhD from the Indian Institute of Science in 1973, S. Lakshmivarahan held faculty and post-doctoral positions at the IIT-Madras, Brown and Yale Universities through 1978. In the Fall of 1978, he joined the School of Computer Science, University of Oklahoma (OU) where he held the position of George Lynn Cross Research Professor since 1995. His research interests are in Applied Mathematics and Computation and includes Data Mining and Analytics, Data Assimilation, Computational Finance, Parallel Computation and Learning Algorithms. He is an author/coauthor of six books in these areas. He was elected as a Fellow of the IEEE in 1993 and a Fellow of ACM in 1995. He has held short-term visiting positions in Japan, China, Taiwan, Thailand, India, Germany, England, Mexico, Brazil, Canada, and USA. Since July 2019, he has held the position of George Lynn Cross Research Professor Emeritus at the School of Computer Science, OU.
Host Faculty: Prof. Murugesan Venkatapathi
ALL ARE WELCOME
