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Fundamental and Computational Sciences Directorate

Staff information

Sai Munikoti

Data Architectures and AI
Data Scientist
Pacific Northwest National Laboratory
PO Box 999
MSIN: J4-32
Richland, WA 99352

PNNL Publications

2024

  • Horawalavithana Y.S., S. Munikoti, I.B. Stewart, H.J. Kvinge, and K. Pazdernik. 2024. "SCITUNE: Aligning Large Language Models with Human-Curated Scientific Multimodal Instructions." In Proceedings of the First Workshop on Natural Language Processing for Science (NLP4Science 2024), November 12-16, 2024, Miami, FL, 58-72. Stroudsburg, Pennsylvania:Association for Computational Linguistics. PNNL-SA-186641.
  • Mahapatra K., S. Munikoti, and J.D. Follum. 2024. "Transmission Data-Driven User-Defined Model for Inverter-based and Conventional Power Plants." In Resilience Week (RWS 2024), December 3-5, 2024, Austin, TX, 1-6. Piscataway, New Jersey:IEEE. PNNL-SA-200436. doi:10.1109/RWS62797.2024.10799382
  • Munikoti S., A. Acharya, S.N. Wagle, and Y.S. Horawalavithana. 2024. "Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning." In Proceedings of the 4th Workshop on Scholarly Document Processing (SDP 2024), August 16, 2024, Bangkok, Thailand, edited by T. Ghosal, et al, 84-89. Kerrville, Texas:Association for Computational Linguistics. PNNL-SA-189029.
  • Munikoti S., B. Natarajan, and M. Halappanavar. 2024. "GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization." Journal of Parallel and Distributed Computing 192. PNNL-SA-198119. doi:10.1016/j.jpdc.2024.104900
  • Munikoti S., D. Agarwal, L. Das, M. Halappanavar, and B. Natarajan. 2024. "Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications." IEEE Transactions on Neural Networks and Learning Systems 35, no. 11:15051 - 15071. PNNL-SA-174409. doi:10.1109/TNNLS.2023.3283523
  • Rahman M., K.O. Piryani, A.M. Sanchez, S. Munikoti, L. De La Torre, M.S. Levin, and M. Akbar, et al. 2024. Retrieval Augmented Generation for Robust Cyber Defense. PNNL-36792. Richland, WA: Pacific Northwest National Laboratory. Retrieval Augmented Generation for Robust Cyber Defense

2023

  • Tharzeen A., S. Munikoti, P. Prakash, J. Kim, and B. Natarajan. 2023. "A General Spatiotemporal Imputation Framework for Missing Sensor Data." In IEEE Conference on Artificial Intelligence (CAI 2023), June 5-6, 2023, Santa Clara, CA, 55-58. Los Alamitos, California:IEEE Computer Society. PNNL-SA-183063. doi:10.1109/CAI54212.2023.00032

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