Ramakrishnan Kannan

Oak Ridge National Laboratory — United States

Computer Science · Physical Sciences

16h-index854citations103works0.32yr avg
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Research Topics

Face and Expression Recognition(13), Tensor decomposition and applications(13), Parallel Computing and Optimization Techniques(12), Sparse and Compressive Sensing Techniques(10), Machine Learning in Materials Science(10)

Publications103 total

Community detection robustness of graph neural networks
arXiv (Cornell University)·2025Open Access
Fragile Earth: Innovative AI For Climate Risk Mitigation
2025Open Access
AI-Powered Knowledge Graphs for Neuromorphic and Energy-Efficient Computing
2025Open Access
Predicting High‐Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion
Advanced Intelligent Discovery·2025· 1 citedOpen Access
SymProp: Scaling Sparse Symmetric Tucker Decomposition via Symmetry Propagation
2025
Predicting High-Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion
2025Open Access
Robustness of Graph Embedding Methods for Community Detection
SSRN Electronic Journal·2025· 1 citedOpen Access
On Rank Selection for Nonnegative Matrix Factorization
2024
Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway
2024
Fragile Earth: Generative and Foundational Models for Sustainable Development
2024
Accelerated Constrained Sparse Tensor Factorization on Massively Parallel Architectures
2024Open Access
Robustness of graph embedding methods for community detection
arXiv (Cornell University)·2024Open Access
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 1 citedOpen Access
Knowledge Graph Embedding using Large Language Models for COVID-19
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2024· 1 citedOpen Access
A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations
2023Open Access
Optimizing Communication in 2D Grid-Based MPI Applications at Exascale
2023· 1 citedOpen Access
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond
2023· 2 citedOpen Access
AminerMag S Dataset
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
AminerMag X Dataset
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
AminerMag S Dataset
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
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Frequent Co-authors

Haesun Park(17), Grey Ballard(8), Richard Vuduc(6), Piyush Sao(5), Seung–Hwan Lim(5), Cristina García–Cardona(4), Thomas Proffen(4), Sudip K. Seal(4), Jaegul Choo(4), Srinivas Eswar(4), Koby Hayashi(4), Thomas E. Potok(4), Mariya Ishteva(3), Thomas Blum(3), Jeffery Graves(3), Michael J. Zachman(3), Xiaoqing Pan(3), Miaofang Chi(3), Travis Johnston(3), Barry Drake(3)