| 2026 | HPDC | Bridging Information Theory and Practice for Scientific Lossy Compression. | Sujata Sinha, Sheng Di, Vishwas Rao, Robert Underwood, David Lenz, Zizhe Jian, Zhuoxun Yang, Kai Zhao, Lingjia Liu, Franck Cappello |
| 2026 | HPDC | TZ: Achieving High-Ratio Scientific Data Compression on GPUs with Global Data Decomposition. | Zhuoxun Yang, Ruoyu Li, Amit N. Subrahmanya, Vishwas Rao, Sheng Di, Robert Underwood, Longtao Zhang, Jinyang Liu, Franck Cappello, Kai Zhao |
| 2026 | ICCS | Comparative Study of Linear Attention Architectures for Geopotential Height Forecasting. | Varuni Sastry, Vishwas Rao |
| 2021 | ICCS | Data-Driven Deep Learning Emulators for Geophysical Forecasting. | Varuni Katti Sastry, Romit Maulik, Vishwas Rao, Bethany Lusch, S. Ashwin Renganathan, Rao Kotamarthi |
| 2020 | ICCS | A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities. | Vishwas Rao, Romit Maulik, Emil M. Constantinescu, Mihai Anitescu |
| 2019 | ICCS | A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. | Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu |
| 2015 | ICCS | Parallel Solution of DDDAS Variational Inference Problems. | Vishwas Rao, Adrian Sandu |
| 2014 | ICCS | A Posteriori Error Estimates for DDDAS Inference Problems. | Vishwas Rao, Adrian Sandu |
| 2013 | ICCS | Dynamic Sensor Network Configuration in InfoSymbiotic Systems Using Model Singular Vectors. | Adrian Sandu, Alexandru Cioaca, Vishwas Rao |