Shrivastava is an assistant professor of computer science at William Marsh Rice University.
Indian American computer scientist Anshumali Shrivastava has won National Science Foundation’s prestigious CAREER award for his research on redesigning current machine-learning processes.
The awards, which are given to about 400 scholars each year across all disciplines, support the research and educational development of young scholars.
Shrivastava is an assistant professor of computer science at William Marsh Rice University, commonly referred as Rice University, located in Houston.
He completed integrated MSc in mathematics and computing from the Indian Institute of Technology, Kharagpur, in 2008. He earned a Ph.D. in computer science from Cornell University in 2015.
“My research leverages the existing algorithmic advances for pushing machine learning to the extreme scale,” Shrivastava said. “I design ‘hashing and sketching algorithms’, a class of randomized algorithms that can process humongous data sets in seconds. Most of the machine-learning algorithms still in use were developed from the 1960s through the 1980s.”
“They were not designed with computational complexity in mind. They focused on finding the ‘right’ measurements from the data. Most of the measurements are now quite expensive to compute. With big data, we’re realizing that standard techniques fail to address new constraints of computations, energy, memory and other resources,” he added.
“Can we redesign current machine-learning processes that rely only on operations that are efficient and do not affect the outputs significantly? That is the central question in my research,” Shrivastava said.