Project Grant 2336007
- This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program award provides $581,320 in funding to the University of Vermont (UVM) over a 5-year period from June 1, 2024 to May 31, 2029. The research project, titled "A Universal Framework for Safety-Aware Data-Driven Control and Estimation", aims to develop a framework for the simultaneous design of control policies and safety measures for complex systems like robotics and power systems using data-driven...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $517,612 CAREER grant to the University of Texas at Austin on March 1, 2025. This 4-year project will develop new foundations of scalable and resilient distributed reinforcement learning for real-time autonomous cooperation in open multi-agent systems. The overarching goal is to design new learning and control methods that enable agents to interact effectively in open systems, adapt in time-varying environments,...
- This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program grant award provides $508,455 to the University of Washington to support research that will leverage artificial intelligence technologies to enhance the resilience and efficiency of automated control systems in energy infrastructure. The project aims to develop an expert-guided, distributionally robust optimization framework that integrates reinforcement learning with mathematical optimization to improve...
- This $599,972 Faculty Early Career Development (CAREER) award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to develop a new approach to multifidelity scientific machine learning. The research aims to combine data from both high-fidelity and low-fidelity computational simulations in a mathematically rigorous way, enabling the creation of machine-learned models that provide high-accuracy predictions at low computational cost. This work has the...
- This $595,000 Faculty Early Career Development Program (CAREER) grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) funds research, education, and outreach activities at the University of Texas at Austin. The research aims to develop new data-driven methods for understanding and predicting the dynamics of complex biological systems, such as genetic circuits and neural activity. The project will create an analytical framework that merges artificial...
- This National Science Foundation (NSF) CAREER project award under CFDA 47.041 (Engineering) aims to advance the autonomy of power grids by developing fundamental theory and strategies to enhance decision speed, resilience, and societal/sustainability awareness of distributed grid management models and algorithms. The $500,000 award, effective from March 1, 2025 to February 28, 2030, supports the University of Texas at Austin in addressing three critical research questions: leveraging agent...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) grant award, titled "CAREER: DATA-ENABLED NEURAL MULTI-STEP PREDICTIVE CONTROL (DEMUSPC): A LEARNING-BASED PREDICTIVE AND ADAPTIVE CONTROL APPROACH FOR COMPLEX NONLINEAR SYSTEMS", provides $655,248 in funding to the University of Houston System from September 2024 through August 2029. The project aims to conduct fundamental research to develop data-driven and learning-based predictive and adaptive control approaches, with...
- The University of Texas at Dallas was awarded a $500,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems under the Engineering federal grant program (CFDA 47.041). The grant will support research titled "CAREER: DATA-DRIVEN CONTROL OF DYNAMICAL NETWORKS: ROBUSTNESS, RISK, AND NETWORK ARCHITECTURES" from April 2021 through March 2026. The research aims to develop new data-driven control methods for dynamical networks to analyze...
- This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program grant, under CFDA 47.041 Engineering, aims to develop energy engineering solutions that incorporate the preferences and needs of diverse residential electricity consumers. The $500,000 award to Arizona State University, received on Aug 1, 2024, will fund research to enable the co-management of utility-owned and customer-owned distributed energy assets using artificial intelligence algorithms. The project...
- The National Science Foundation (NSF) Directorate for Engineering awarded a 5-year, $626,006 CAREER grant to The Pennsylvania State University, doing business as Penn State, to support research that enables dynamic modeling, control, and design for next-generation autonomous aerial systems with enhanced capabilities and operational efficiency. The project aims to establish a foundational framework that could revolutionize the entire lifecycle of autonomous systems, from production to...
The National Science Foundation (NSF) Engineering program awarded a 5-year, $589,527 Faculty Early Career Development (CAREER) grant to the University of Texas at Dallas (UTD) on June 1, 2024. The grant supports research to develop set-based dynamic modeling and control frameworks for improving the safety and reliability of thermal management systems in complex energy systems. Key objectives include:
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $589.5k | 3/18/24 |