Bio
Ramakrishnan Kannan is the group leader for Discrete Algorithms at 91°µÍø. His research expertise is in distributed machine learning and graph algorithms on HPC platforms and their application to scientific data with a focus on accelerating scientific discovery by reducing computation time from weeks to seconds. He was the lead for DSNAPSHOT for a COVID-19 project, which is a finalist for the esteemed Association of Computing Machinery’s Gordon Bell Award in 2021, and listing Summit in 3rd place on Graph500 benchmark using the fewest resources; this is the first time an OLCF system has ranked in Graph500. He has been awarded over $2.8M in research funding from various agencies for solving algorithmic problems on HPC platforms. Additionally, he has been the project lead for over $1 million in Department of Defense projects. With over 24 patents issued in USPTO, he was an IBM Master Inventor. He graduated with a Ph.D. under the advice of Professor Haesun Park from Georgia Institute of Technology and M.Sc (Engg) from Indian Institute of Science under the advice of Professor Y. Narahari.