Ramakrishnan Kannan
About Ramakrishnan Kannan
Ramakrishnan Kannan is a Computational Data Scientist with extensive experience in machine learning and high-performance computing. He has held positions at IBM and currently works at Georgia Institute of Technology and Oak Ridge National Laboratory.
Current Work at Georgia Institute of Technology
Ramakrishnan Kannan has been serving as Joint Faculty at Georgia Institute of Technology since 2018. In this role, he contributes to the academic community by engaging in research and teaching within the fields of computer science and engineering. His work focuses on the intersection of computational methods and data science, leveraging his extensive background in machine learning and high-performance computing.
Experience at Oak Ridge National Laboratory
Since 2016, Ramakrishnan Kannan has held the position of Computational Data Scientist at Oak Ridge National Laboratory. He specializes in developing machine learning algorithms that are optimized for high-performance computing systems. His research aims to enhance data analysis capabilities and improve computational efficiency, contributing to the laboratory's mission of advancing scientific discovery.
Previous Roles at IBM
Ramakrishnan Kannan worked at IBM for a total of 11 years, holding two key positions. From 2000 to 2010, he served as an Advisory Software Engineer, followed by a role as an R&D Engineer from 2010 to 2011. During his tenure, he was part of the Data Analytics group at the IBM TJ Watson Research Center, where he contributed to various projects and was recognized as an IBM Master Inventor.
Educational Background
Ramakrishnan Kannan holds a Doctor of Philosophy in Computer Science and Philosophy from Georgia Institute of Technology, which he completed from 2011 to 2016. Prior to this, he studied at the Indian Institute of Science (IISC) from 2006 to 2008, focusing on Computer Science. He also earned a Bachelor of Engineering in Computer Science from Shanmugha Arts, Science, Technology and Research Academy, completing his studies from 1996 to 2000.
Research Focus and Expertise
Ramakrishnan Kannan specializes in developing machine learning algorithms that are tailored for high-performance computing systems. His expertise lies in the application of game theory and mechanism design within computational data science. This focus enables him to address complex problems in data analytics and optimize computational processes across various platforms.