PNNL

Sarthak Chaturvedi is a data scientist at Pacific Northwest National Laboratory, leading the development of artificial intelligence (AI) solutions for complex challenges in energy and environmental domain. His work focuses on advancing natural language processing applications in scientific and policy domains, with emphasis on retrieval-augmented generation systems and novel architectures for domain-specific language understanding.

At PNNL, Chaturvedi collaborates with the Department of Energy Office of Energy Efficiency and Renewable Energy, the Advanced Research Projects Agency-Energy, and the Office of Policy to advance high-potential, high-impact energy technologies and support data-driven policymaking.

Chaturvedi’s research on equity in public electric vehicle charging infrastructure, supported by the National Science Foundation and Microsoft, applied generative AI approaches to address critical challenges in energy and transportation infrastructure. He has collaborated with researchers from Stanford University, TU Delft, University of Cambridge, and the Robert Bosch Centre for Data Science and AI on various energy and sustainability projects.

Chaturvedi envisions his work continuing to emphasize the application of AI-driven insights to policy analysis and decision support in strategically vital technological domains, furthering the impact of AI in addressing critical national and global challenges.

• Retrieval Augmented Generation 
• Multi-Agent Systems
• Foundation Models
• Responsible AI
• Grid Resilience
• Sustainable Transportation
• Energy Policy

• MS in computational sciences and engineering, Georgia Tech
• BS in civil engineering, National Institute of Technology

Phan, Hung, A. Acharya, S. Chaturvedi, S. Sharma, M. Parker, D. Nally, A. Jannesari et al. " Examining Long-Context Large Language Models for Environmental Review Document Comprehension." arXiv preprint arXiv:2407.07321 (2024). 

S. Chaturvedi, E. Chen, I.P. Sharma, O.I. Asensio, "A Generative AI Approach to Pricing Mechanisms and Consumer Behavior in the Electric Vehicle Charging Market," The Association for the Advancement of Artificial Intelligence (AAAI) 2023 Fall Symposium: The Role of AI in Responding to Climate Challenges, October 25-27, 2023, Arlington, VA, DOI

S. Chaturvedi, E. Chen, I.P. Sharma, O.I. Asensio, " How Large Language Models Can Help Policymakers Detect Consumer Barriers to Innovation: Insights from EV Charging Business Models," Association for Public Policy Analysis and Management (APPAM) Fall Research Conference, November 9-11, 2023, Atlanta, GA, DOI

S. Chaturvedi, E. Chen, I.P. Sharma, O.I. Asensio, "Consumer price inflation in electric vehicle charging infrastructure in the United States," The New Directions in Analyzing Text as Data (TADA), October 6-7, 2022, Cornell Tech, NYC

S. Chaturvedi, A. Ashok and B.R. Chilukuri, "Traffic State Estimation using DSRC-Enabled Probe Vehicles," 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), Bangalore, India, 2021, DOI

S. Chaturvedi, Deepak S., B. Dhivyabharathi, and B. R. Chilukuri, "Data Imputation for Traffic State Estimation and Prediction using WiFi Sensors," Proceedings of the Sixth International Conference of Transportation Research Group of India . CTRG 2021, DOI