Project Grant 2133481

Award Date 9/15/21
Completion Date 8/31/24
Dollars Obligated $295K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Austin, TX 78712, USA
Similar Awards
The National Science Foundation (NSF) awarded a $1,200,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the University of Texas at Austin. The grant, running from June 1, 2024 to May 31, 2027, aims to develop theoretical frameworks and practical algorithms for learning data-driven models and control strategies in networked cyber-physical systems, with a focus on power distribution systems. Key areas of work include designing...
The University of Texas at Austin was awarded a $220,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The award is part of the Engineering (47.041) federal grant program to support collaborative research titled "CCSS: LEARNING TO OPTIMIZE: FROM NEW ALGORITHMS TO NEW THEORY" from August 15, 2021 to July 31, 2024. Under this award, the University of Texas at Austin will conduct research to develop new algorithms and...
The National Science Foundation awarded a $207,916 project grant to the University of Texas at Austin under the Engineering federal grant program (CFDA 47.041) for research titled "COLLABORATIVE RESEARCH: NON-ACADEMIC CAREER PATHS OF MASTER?S AND PHD ENGINEERS" from September 1, 2021 to August 31, 2024. The grant will support research examining the non-academic career paths and outcomes of individuals with master's and PhD degrees in engineering to better understand workforce...
The University of Texas at Austin was awarded a $282,698 Project Grant by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to investigate the impact of information uncertainty on design decision-making under competition between teams. The 3-year project aims to develop quantitative models, metrics, and experimental testbeds to study how bounded rationality and imperfect information exchange affect sequential design decisions in competitive team environments. The research...
The University of Texas at Austin received a $285,681 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation to support research titled "COLLABORATIVE RESEARCH: INFERRING THE IN SITU MICRO-MECHANICS OF EMBEDDED FIBER NETWORKS BY LEVERAGING LIMITED IMAGING DATA." The three-year award, issued on January 1, 2022 under the NSF Engineering (CFDA 47.041) program, will fund research aimed at improving understanding of the...
This $260,000 National Science Foundation project grant will fund the development of data-enabled modeling, monitoring, and optimization algorithms targeting power system dynamics from 2022-2025. The University of Texas at Austin, through its parent organization the University of Texas System, will receive funding under the NSF Engineering program (CFDA 47.041) to correlate synchrophasor data and develop Gaussian process and stability-aware optimal power flow tools. Key outcomes will include...
This National Science Foundation Project Grant of $460,041 awarded to the University of Texas at Austin on October 1, 2021 supports research in algorithmic mechanism design under the Computer and Information Science and Engineering program (CFDA 47.070). The two-year project aims to develop new algorithmic techniques for designing market mechanisms that model consumer behavior and other real-world constraints more faithfully while maintaining simplicity and near-optimal performance....
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $224,375 Project Grant to the University of Texas at Austin from September 15, 2021 through August 31, 2024. The grant supports collaborative research to develop computationally efficient algorithms for large-scale bilevel optimization problems under the NSF Engineering program (CFDA 47.041). The Engineering program seeks to improve quality of life and economic strength by fostering innovation...
The University of Texas at Austin received a $460,698 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation. The award is supporting research from August 1, 2021 through July 31, 2024 under the NSF Engineering Program (CFDA 47.041). Specifically, the University is developing data-driven model reduction and real-time estimation and control techniques for coherent structures in turbulent flows. The NSF Engineering Program seeks to...
The University of Texas at Austin received a $398,286 Project Grant award from the National Science Foundation to support research related to stimuli-responsive soft materials. The grant was awarded on September 1, 2021 under the Engineering (CFDA 47.041) program with a completion date of January 31, 2023. Through this funding, the University will deliver research developing soft materials that can change properties in response to external stimuli, advancing innovations at the intersection of...

The National Science Foundation awarded a $295,000 Project Grant to the University of Texas at Austin under the Engineering federal grant program (CFDA 47.041) on September 15, 2021. The grant supports research titled "COLLABORATIVE RESEARCH: CPS: SMALL: CO-DESIGN OF PREDICTION AND CONTROL ACROSS DATA BOUNDARIES: EFFICIENCY, PRIVACY, AND MARKETS" through August 31, 2024. The research aims to advance techniques for coordinating predictive algorithms and control systems across organizational data boundaries while ensuring efficiency, privacy, and enabling data markets. As the prime awardee, the University of Texas at Austin will lead the collaborative research effort in coordination with its parent institution, the University of Texas System.

Generated 1/6/24, 5:11 PM