Bio
Shruti R. Kulkarni is a Research Scientist in the Learning Systems group at Oak Ridge National Laboratory (ORNL). Her research is in neuromorphic computing, where she studies bio-inspired learning algorithms and evolutionary algorithms for Spiking Neural Networks (SNNs), and their application to diverse class of problems. Some of her work also involves studying explainability of SNNs and developing reduced order computational models from large scale simulation data of neuroscience models. She is also involved in the co-design effort for optimal realization of neuromorphic algorithms coherently with the design of energy efficient hardware platforms.
She received her Ph.D. in Electrical Engineering from New Jersey Institute of Technology in 2019 under the supervision of Dr. Bipin Rajendran, where she completed her dissertation on bio-inspired learning and hardware acceleration with emerging memories. Her industry experience includes internships at Micron Technologies and Texas Instruments, in the areas of acceleration and optimal realization of machine learning models. She has 15 peer reviewed journal and conference publications.