Workshop Papers

 

 

Top Research Challenges and Opportunities for Near Real-Time Extreme-Scale Visualization of Scientific Data
D. Pugmire, K. Moreland, T. M. Athawale, J. Hammer, J. Huang
[Preprint]
(The 1st International Workshop on Near Real-Time Data Processing for Interconnected Scientific Instruments in conjunction with 2024 IEEE 20th International Conference on e-Science  Osaka, Japan)

Abstract

 

 

 

 

FunM²C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices
G. Hari, N. Joshi, Z. Wang, Q. Gong, D. Pugmire, K. Moreland, C. R. Johnson, S. Klasky, N. Podhorszki, and T. M. Athawale
[Paper (Coming soon)]
(2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks [Selected among the top six papers], St. Pete Beach, Florida, USA.)

Abstract

 

 

Accelerated Depth Computation for Surface Boxplots with Deep Learning
M. Han, Tushar M. Athawale, J. Li, and C. R. Johnson
[Paper (Coming soon)]
(2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks [Selected among the top six papers], St. Pete Beach, Florida, USA.)

Abstract

 

 

Uncertainty-Informed Volume Visualization using Implicit Neural Representation
S. Saklani, C. Goel, S. Bansal, Z. Wang, S. Dutta, T. M. Athawale, D. Pugmire, and C. R. Johnson
[Preprint (arXiv)]
(2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks, St. Pete Beach, Florida, USA.)

Abstract

 

 

 

Estimation and Visualization of Uncertainty from Linear and High-Order Interpolation Methods
T. A. J. Ouermi, J. Li, T. M. Athawale, and C. R. Johnson
[Preprint (arXiv)]
(2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks, St. Pete Beach, Florida, USA.)

Abstract

 

 

An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations
R. Sisneros , T. M. Athawale, D. Pugmire, K. Moreland
[Preprint (arXiv)]
(2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks, St. Pete Beach, Florida, USA.)

Abstract

 

 

Performance Improvements of Poincare Analysis for Exascale Fusion Simulations
D. Pugmire, J. Y. Choi, S. Klasky, K. Moreland, E. Suchyta, T. M. Athawale, Z. Wang, C.-S. Chang, S.-H. Ku, and R. Hager
[Paper] [BibTex] [Presentation
(VisGap 2024-The Gap Between Visualization Research and Visualization Software, Odense, Denmark.)

Abstract

 

 

 

FunMC²: A Filter for Uncertainty Visualization of Marching Cubes On Multicore Devices
Z. Wang*, T. M. Athawale*, K. Moreland*, J. Chen, C. R. Johnson, and D. Pugmire
* The authors with equal contribution to the paper
[Paper] [BibTex] [Source code] [Presentation slides]
(Eurographics Symposium on Parallel Graphics and Visualization (EGPGV) workshop co-held with EuroVis 2023, Leipzig, Germany.)

Abstract

 

 

 

 

Advancing Comprehension of Quantum Application Outputs: A Visualization Technique 
P. Senapati, T. M. Athawale, D. Pugmire, Q. Guan
[Paper] [Presentation slides]
(In ACM QCCC'2023 workshop
 co-located with High-Performance Distributed (HPDC) Conference, Orlando, FL, USA.)

Abstract

 

 

 

Visualizing Interactions Between Solar Photovoltaic Farms and the Atmospheric Boundary Layer
T. M. Athawale*, B. Stanislawski*, S. Sane, and C. R. Johnson
* Both authors contributed equally to the paper
[Preprint] [BibTex] [Presentation slides] [Presentation video (at 24:50)]
(EnergyVis '21 workshop co-located with 12th ACM International Conference on Future Energy Systems (e-Energy' 21), June 28-July 2, 2021, Torino, Italy (virtual). ACM, New York, NY, USA, 5 pages, pp 377-381
)
Abstract

 

 

 

A Statistical Framework for Visualization of Positional Uncertainty in Deep Brain Stimulation Electrodes
T. M. Athawale, K. A. Johnson, C. R. Butson, and C. R. Johnson
[arXiv] [Preprint] [Bibtex] [Poster] [Source code (MATLAB)]
(2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC), Vancouver, BC, Canada, 2019, pp. 54-55.)

Abstract

 

 

 

Investigating Multivariate, Vector, and Topological Data Analysis Techniques for Mantle Flow Pattern Visualization
S. Sane, T. M. Athawale, and C. R. Johnson
[Preprint] [Presentation video
(accepted in the 2021 IEEE SciVis Contest (virtual).)

Abstract

 

 

 

 

 

Statistical Rendering  for Visualization of Red Sea Eddy Simulation Data
T. M. Athawale, A. Entezari, B. Wang, and C. R. Johnson
[Preprint] [Poster (interactive)] [Preview video] [Presentation slides] [Presentation video (VIS 2020: SciVis Contest session, third from the last presentation)]
(Accepted in the 2020 IEEE SciVis Contest)

Abstract