Staff information

Rounak Meyur

Data Architectures and AI
Data Scientist
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Sadnan R., R. Meyur, D.M. Glover, A.P. Reiman, and J.D. Follum. 2025. "Parameter Estimation of Unreported PVs using Distribution System State Estimation Algorithm." In IEEE Green Technologies Conference (GreenTech 2025), March 26-28, 2025, Wichita, KS, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-201913. doi:10.1109/GreenTech62170.2025.10977689

Mitra B., M. Ramesh, R. Meyur, R. Sadnan, T. Slay, A.P. Reiman, and J.D. Follum. 2024. Survey of Use Cases and Scenarios on the Open Energy Data Initiative Solar Systems Integration (OEDI SI) Platform. PNNL-35875. Richland, WA: Pacific Northwest National Laboratory. Survey of Use Cases and Scenarios on the Open Energy Data Initiative Solar Systems Integration (OEDI SI) Platform
Purohit S., R. Meyur, O.M. Bel, A. Mendoza Sanchez, B.K. Webb, and S.A. Donald. 2024. Efficient Hybrid Attack Graph Generation for Cyber-Physical System Resilience Experimentation: Final Project Report. PNNL-36847. Richland, WA: Pacific Northwest National Laboratory. Efficient Hybrid Attack Graph Generation for Cyber-Physical System Resilience Experimentation: Final Project Report
Wang D., B. Mitra, S. Nekkalapu, S. Datta, B. Mathew, R. Meyur, and H. Wang, et al. 2024. "Hy-DAT: A Tool to Address Hydropower Modeling Gaps Using Interdependency, Efficiency Curves, and Unit Dispatch Models." In IEEE Green Technologies Conference (GreenTech 2024), April 3-5, 2024, Springdale, AR, 91-95. Piscataway, New Jersey:IEEE. PNNL-SA-183732. Hy-DAT: A Tool to Address Hydropower Modeling Gaps Using Interdependency, Efficiency Curves, and Unit Dispatch Models">doi:10.1109/GreenTech58819.2024.10520554Hy-DAT: A Tool to Address Hydropower Modeling Gaps Using Interdependency, Efficiency Curves, and Unit Dispatch Models

Donald S., R. Meyur, and S. Purohit. 2023. "Hybrid Attack Graph Generation with Graph Convolutional Deep-Q Learning." In IEEE International Conference on Big Data (BigData 2023), December 15-18, 2023, Sorrento, Italy, 3127-3133. Piscataway, New Jersey:IEEE. PNNL-SA-191137. doi:10.1109/BigData59044.2023.10386675