Chad Steed Distinguished Research Staff and Leader of the Data Science and Visualization Group Contact 865.341.3775 | STEEDCA@ORNL.GOV All Publications Web-based Visual Analytics for Extreme Scale Climate Science A Functional Testing Platform for the Community Land Model... Big Data Visual Analytics for Exploratory Earth System Simulation Analysis Extreme Scale Visual Analytics... Integrating Heterogeneous Healthcare Datasets and Visual Analytics for Disease Bio-surveillance and Dynamics... The Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT): Data Analysis and Visualization for Geoscience Data Oak Ridge Bio-surveillance Toolkit (ORBiT): Integrating Big-Data Analytics with Visual Analysis for Public Health Dynamics... Visualizing Community Resilience Metrics from Twitter Data... Observing Community Resiliency in Social Media ParCAT: Parallel Climate Analysis Toolkit The Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT): Data Analysis and Visualization for Geoscience Data... Big Data Visual Analytics for Exploratory Earth System Simulation Analysis A Visual Analytics Approach for Correlation, Classification, and Regression Analysis Verification of Compartmental Epidemiological Models using Metamorphic Testing, Model Checking and Visual Analytics... Interactive Visual Analysis of High Throughput Text Streams An Integrated Geovisual Analytics Framework for Analysis of Energy Consumption Data and Renewable Energy Potentials... A New Collaborative Tool for Visually Understanding National Health Indicators... Practical Application of Parallel Coordinates for Climate Model Analysis Guided Text Analysis Using Adaptive Visual Analytics... Hierarchical Clustering and Visualization of Aggregate Cyber Data Visualization Techniques for Computer Network Defense... Pagination First page « First Previous page ‹‹ Page 1 Current page 2 Key Links Curriculum Vitae Google Scholar ORCID LinkedIn GitHub Chad Steed's Website Organizations National Security Sciences Directorate Cyber Resilience and Intelligence Division Advanced Intelligent Systems Section Data Science and Visualization
