Shruti R Kulkarni Research Scientist Contact kulkarnisr@ornl.gov | 865.574.6201 All Publications On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing Encoding integers and rationals on neuromorphic computers using virtual neuron Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials Neuromorphic Accelerator for Deep Spiking Neural Networks with NVM Crossbar Arrays Virtual Neuron: A Neuromorphic Approach for Encoding Numbers Neuromorphic Computing for Scientific Applications A Review of Non-Cognitive Applications for Neuromorphic Computing... Avoiding excess computation in asynchronous evolutionary algorithms... Semi-Supervised Graph Structure Learning on Neuromorphic Computers... Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing Opportunities for Neuromorphic Computing Algorithms and Applications... Avoiding Excess Computation in Asynchronous Evolutionary Algorithms... Intelligent Prediction of States in Multi-port Autonomous Reconfigurable Solar power plant (MARS)... Benchmarking the Performance of Neuromorphic and Spiking Neural Network Simulators... Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation... A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems... Neuromorphic Computing for Autonomous Racing... Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution... Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems... Training Spiking Neural Networks Using Combined Learning Approaches... Key Links ORCID Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Data and AI Systems Section Learning Systems Group
