Project Grant 2543469
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a CAREER (Faculty Early Career Development Program) grant totaling $562,194 to Texas A&M Engineering Experiment Station, effective August 1, 2025 through July 31, 2030. Under the NSF Engineering program (CFDA 47.041), this project grant supports fundamental research on novel data analytics and optimization approaches for characterizing and optimizing...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded Georgia TECH Research Corp a CAREER (Faculty Early Career Development) grant totaling $599,972 on June 15, 2025, with a completion date of May 31, 2030. Under CFDA 47.041 (Engineering), this project grant supports the development of multifidelity scientific machine learning methods that integrate high- and low-fidelity simulation data to generate accurate predictive...
- Federal Grant Award Summary The National Science Foundation (NSF), Division of Civil, Mechanical, and Manufacturing Innovation, awarded a Faculty Early Career Development (CAREER) Program grant of $550,000 to Texas A&M Engineering Experiment Station for the project "Dual-Wavelength Sub-Diffraction Limited Digital-Light Projection (DLP) for High-Performance, Nano-Architected Polymers" (CFDA 47.041 – Engineering). The award, effective April 1, 2026, through March 31, 2031, will...
- Federal Grant Award Summary North Carolina State University received a $549,353 Faculty Early Career Development (CAREER) award from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems (Engineering program, CFDA 47.041) beginning July 1, 2026 and extending through June 30, 2031. This project will develop a dynamical-systems framework for analyzing and improving global optimization algorithms used in engineering design and machine learning....
- Federal Grant Award Summary The National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems (Engineering program, CFDA 47.041) awarded Tufts College $179,471 on November 15, 2025, to develop computational frameworks for understanding and modeling active fluids—self-propelling particle suspensions with applications in advanced materials development. This CAREER award supports the creation of a hybrid computational framework combining theoretical...
- Federal Grant Award Summary The National Science Foundation's Engineering program (CFDA 47.041) awarded the University of Texas at Dallas a $500,945 Faculty Early Career Development (CAREER) grant effective October 1, 2025, through September 30, 2030. This project will develop fast, flexible, and accurate lumped parameter network multiphysics models for electric machines that integrate electromagnetic, structural, and thermal equivalent circuit representations. The primary deliverable is an...
- Federal Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded a Faculty Early Career Development (CAREER) grant of $527,459 to the University of Colorado Colorado Springs on May 1, 2026, under the Engineering program (CFDA 47.041) for a five-year project period through April 30, 2031. This grant supports the development of theoretical frameworks and mathematical models at the intersection of evolutionary game theory and control...
- Federal Grant Award Summary Texas State University received a $611,453 Faculty Early Career Development (CAREER) award from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (Engineering program, CFDA 47.041) beginning September 1, 2026 and extending through August 31, 2031. The award funds research and development of recyclable biopolymer composite construction materials designed for use in resource-limited environments where traditional building...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a CAREER grant to San Diego State University Research Foundation on April 1, 2025, in the amount of $637,665 to support faculty early-career research through the Engineering program (CFDA 47.041). The award funds a five-year research initiative (completion date: March 31, 2030) focused on developing an innovative layered cooling crystallization additive...
- Federal Grant Award Summary The National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a CAREER (Faculty Early Career Development) grant totaling $269,822 to the University of Wisconsin-Madison on February 15, 2026, under the Engineering program (CFDA 47.041). The project, which extends through July 31, 2028, focuses on advancing Bayesian optimization algorithms that exploit problem structure to efficiently solve computationally expensive...
The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded a Faculty Early Career Development (CAREER) grant of $551,703 to Texas A&M Engineering Experiment Station (beginning July 1, 2026, through June 30, 2031) under the Engineering program (CFDA 47.041). The award funds research to advance simulation optimization methodologies by coupling exploratory simulation analysis with optimization techniques to enable more holistic decision-making in sectors including healthcare, finance, construction, and national defense. The project will deliver multiple software products and tools, including open-source implementations of the developed methods, an interactive dashboard prototype, add-ins for commercial simulation software, and versions compatible with an open-source simulation optimization testbed used by researchers and educators. In addition to research deliverables, the award includes educational components designed to enhance workforce development in the field. The project will produce high school outreach activities and teaching modules focused on analysis techniques for simulation data, programming proficiency, and statistical literacy. By shifting simulation optimization practice from summary performance measures to distributions of performance outcomes, the research aims to create more systematic, user-aligned, and practical decision-support approaches. Close collaboration with industry partners will ensure that developed methods are intuitive and implementable in real-world applications.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $551.7k | 1/8/26 |