Tushar Athawale Computer Scientist, Scientific Visualization Contact 865.341.2706 | ATHAWALETM@ORNL.GOV All Publications PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models Ensemble Simulations on Leadership Computing Systems A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization... An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations Visualization at Exascale: Making It All Work with VTK-m FunM2C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices Accelerated Depth Computation for Surface Boxplots with Deep Learning Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods Uncertainty-Informed Volume Visualization using Implicit Neural Representation A General Framework for Error-controlled Unstructured Scientific Data Compression... Top Research Challenges and Opportunities for Near Real-Time Extreme-Scale Visualization of Scientific Data... Data-Driven Computation of Probabilistic Marching Cubes for Efficient Visualization of Level-Set Uncertainty Performance Improvements of Poincar矇 Analysis for Exascale Fusion Simulations A Comparative Study of the Perceptual Sensitivity of Topological Visualizations to Feature Variations Advancing Comprehension of Quantum Application Outputs: A Visualization Technique... FunMC^2: A Filter for Uncertainty Visualization of Marching Cubes on Multi-Core Devices Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles Quantifying and Visualizing Uncertainty for Source Localisation in Electrocardiographic Imaging Key Links Curriculum Vitae Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Data and AI Systems Section Visualization Group
Research Highlight Quantifying and Visualizing Uncertainty for Source Localization in Electrocardiographic Imaging
Research Highlight Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles
Research Highlight Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models
