Kalyan Perumalla
About Kalyan Perumalla
Kalyan Perumalla is a Distinguished R&D Staff Member at Oak Ridge National Laboratory and a Joint UT-ORNL Professor at the University of Tennessee, Knoxville. He has over 20 years of experience in research and development, focusing on discrete event simulation, agent modeling, and scalable machine learning.
Work at University of Tennessee
Kalyan Perumalla serves as a Joint UT-ORNL Professor at the University of Tennessee, Knoxville. He has held this position since 2018, contributing to research and education in the Knoxville, Tennessee area for six years. His role involves collaboration with both the university and Oak Ridge National Laboratory, enhancing the integration of academic and research initiatives.
Current Role at Oak Ridge National Laboratory
Kalyan Perumalla has been a Distinguished R&D Staff Member at Oak Ridge National Laboratory since 2014. In addition to this role, he leads the Discrete Computing Systems Group within the Computational Sciences and Engineering Division. His work focuses on advancements in discrete event simulation and agent modeling, which improve computational efficiency in complex systems.
Experience at Georgia Institute of Technology
Kalyan Perumalla has been associated with Georgia Institute of Technology as an Adjunct Professor since 2005. His tenure spans 19 years, during which he has contributed to the academic community and engaged in research initiatives. Previously, he was a Research Faculty Member at the institute from 2000 to 2005.
Educational Background
Kalyan Perumalla earned his Ph.D. in Computer Science from Georgia Institute of Technology, where he studied from 1993 to 1999. This educational foundation has equipped him with the skills necessary for his extensive research in scalable machine learning, optimization, and high-performance computing.
Professional Contributions
Kalyan Perumalla has made significant contributions to the fields of scalable machine learning and optimization, which are vital for the advancement of high-performance computing applications. His expertise in graphics processing units further supports his research efforts, enabling the acceleration of computational tasks in various projects.