Tushar M. Athawale
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
4
Active years
2023–2026
Best venue rank
A
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | PacificVis | REV-INR: Regularized Evidential Implicit Neural Representation for Uncertainty-Aware Volume Visualization. | Shanu Saklani, Tushar M. Athawale, Nairita Pal, David Pugmire, Christopher R. Johnson, Soumya Dutta |
| 2025 | SC | Stability-preserving Lossy Compression for Large-scale Partial Differential Equations. | Qian Gong, Mark Ainsworth, Jieyang Chen, Xin Liang, Liangji Zhu, Ethan Klasky, Tushar M. Athawale, Qing Liu, Anand Rangarajan, Sanjay Ranka, Scott Klasky |
| 2025 | SC | STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data. | Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song |
| 2024 | QCE | PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications. | Priyabrata Senapati, Samuel Yen-Chi Chen, Bo Fang, Tushar M. Athawale, Ang Li, Weiwen Jiang, Cheng Chang Lu, Qiang Guan |
| 2024 | SC | Ensemble Simulations on Leadership Computing Systems. | Antigoni Georgiadou, Henry Monge-Camacho, Tanvir Sohail, Swarnava Ghosh, Arjun Valiya Parambathu, Dilipkumar N. Asthagiri, Dmytro Bykov, Tushar M. Athawale, Thomas L. Beck |
| 2024 | SC | A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. | Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao |
| 2023 | EGPGV | FunMC | Zhe Wang, Tushar M. Athawale, Kenneth Moreland, Jieyang Chen, Chris R. Johnson, David Pugmire |