1. Multimodal AI Framework for Intelligent Energy Systems: Enhancing Decision Making and Grid Resilience Funding Agency: 2025 NSF DigiCARES Seed Grant Program (Current) Description: This project directly aligns with the DigiCARES goals by addressing the priority areas of AI-based platforms for energy systems, automation of power system operations, and integration of renewable energy sources. The proposed AI model will leverage Large Language Models (LLMs) to handle multimodal inputs (text, images, and numerical data) for performing various power system functions, including optimal power flow (OPF), voltage control, topology identification, renewable energy integration, and cyber security.
The integration of multimodal data into a unified AI model will help utilities and energy operators gain deeper insights into power system operations. The project will contribute to improving decision-making processes, optimizing grid operations, and enhancing the resilience of energy systems.
2. RII FEC: Accelerating Community-Centric Energy Transformation through AI-driven Digital Twinning for Climate-Aware Resilience
Funding Agency: National Science Foundation (NSF), USA, (Current)
Description: The project aims to expand local research infrastructure across four EPSCoR jurisdictions—New Mexico, Montana, Oklahoma, and Alabama—positioning them to harness the benefits of AI, digital twin technology, and renewable energy, while building climate resilience. This project will transform energy systems planning and operations through cutting-edge technological development, cross-disciplinary collaborations, and deep engagement with underserved communities. Central to this effort is the development and application of AI-driven digital twins tailored to the energy infrastructures and socio-economic needs of three underserved communities: Kit Carson, Mora-San Miguel, and the Navajo Nation, which are representative of communities across the nation. These efforts will optimize energy utilization, integrate renewable sources more effectively, and enhance overall climate resilience. The project is committed to fostering a skilled workforce, adept in the rapidly evolving domains of AI, digital twin technology, and sustainable energy. Resources and mentoring to early career professionals will build towards sustained productivity. The project’s active collaboration with minority-serving institutions and initiatives will greatly promote diversity in STEM education.
3. NextGen CREDI: University-Based Research Consortium for Next-Generation Cyber-Resilient Energy Delivery Infrastructure
Funding Agency: Department of Energy (DoE), USA, (Pending)
Description: This project is a collaborative effort amongst regionally diverse universities to form a university-based research consortium for a Next-Generation Cyber-Resilient Energy Delivery Infrastructure in partnerships with industry demo partners and industry advisory boards.
4. RII-FEC: Advancing Quantum-AI-powered Networked Microgrids Towards Resilient Distributed Energy Future Funding Agency: National Science Foundation (NSF), USA, (Pending) Description: This project develops innovative frameworks, models, and tools to improve the nation's energy systems through AI- powered networked microgrids.