Prasanna A Date Research Scientist Contact datepa@ornl.gov | 865.341.0344 All Publications Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems... Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment... Spike-based graph centrality measures... Modeling epidemic spread with spike-based models... Neuromorphic Graph Algorithms: Extracting Longest Shortest Paths and Minimum Spanning Trees... Characterizing Quantum Classifier Utility in Natural Language Processing Workflows 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 Virtual Neuron: A Neuromorphic Approach for Encoding Numbers Neuromorphic Computing for Scientific Applications Hybrid Quantum-Classical Neural Networks Controller-Based Energy-Aware Wireless Sensor Network Routing Using Quantum Algorithms... A Review of Non-Cognitive Applications for Neuromorphic Computing... Neuromorphic Computing is Turing-Complete Semi-Supervised Graph Structure Learning on Neuromorphic Computers... Quantum Computing Systems and Software for High-energy Physics Research... Opportunities for Neuromorphic Computing Algorithms and Applications... Adiabatic quantum linear regression... Neuromorphic Graph Algorithms: Cycle Detection, Odd Cycle Detection, and Max Flow... Balanced k-means clustering on an adiabatic quantum computer... Neuromorphic Computing for Autonomous Racing... Computational Complexity of Neuromorphic Algorithms... Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers... Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links Curriculum Vitae Google Scholar Web of Science ORCID LinkedIn GitHub Personal Webpage ResearchGate ORCiD Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Data and AI Systems Section Learning Systems Group
