Project Grant 2531439
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $400,000 project grant to the Massachusetts Institute of Technology (MIT) to accelerate the design of controllers for large-scale engineering systems, focusing on the application of artificial intelligence in transportation. The project aims to bridge the gap between simulated cyber environments and real-world physical operations by utilizing extensive offline datasets and offline reinforcement learning....
- This $150,000 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop and deploy low-cost, battery-powered smart cameras to democratize urban mobility data acquisition, especially in underserved communities. The research will focus on creating new control and perception algorithms to efficiently operate these smart cameras within battery and computational constraints. Key project elements...
- This $140,000 Project Grant was awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program to The Johns Hopkins University on September 15, 2024. The grant funds a collaborative research project entitled "SAI: Safe Bicycle Infrastructure: Preparing for an E-Bike Future" that aims to improve bicycle infrastructure planning and design across U.S. communities to promote safer and more widespread use of electric bicycles (e-bikes)....
- This five-year, $549,037 National Science Foundation Project Grant supports research at the University of Michigan-Dearborn to develop a framework for studying driver-bicyclist interactions and improve bicycling safety. Funded through NSF's Engineering Directorate under the CFDA 47.041 program, this early career faculty award will address gaps in understanding how drivers and bicyclists interact on roadways. Key products include observational studies using naturalistic driving, cycling and drone...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) project grant award of $687,382 supports research and education focused on the foundations of the next generation of artificial intelligence (AI) for engineering design. The project, titled "CAREER: TOWARDS NEXTGEN-AI: RETHINKING DEEP GENERATIVE MODELS FOR ENGINEERING DESIGN", aims to establish deep generative models (DGMs) designed to handle challenges specific to engineering design across different scales, complexity,...
- This $200,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support the development, implementation, and study of a novel approach to AI education at Boston College. The project, titled "Research Initiation: Human-Centered AI Algorithm Design for Engineering Students' Professional Formation," aims to help engineering students engage with the ethical, social, and human dimensions of AI. The project will design and test teaching...
- This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $610,000 to the University of Florida to conduct a collaborative research project titled "Safe Bicycle Infrastructure: Preparing for an E-Bike Future". The project aims to improve bicycle infrastructure planning and design across U.S. communities to promote safer and more widespread e-bike use. The research will study how different types of...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $135,207 Project Grant to the University of Maryland, College Park to establish a symbolic artificial intelligence (AI) framework for discovering physically interpretable constitutive laws of soft functional composites. This 1.5-year grant, awarded on January 1, 2025, with a completion date of May 31, 2026, supports fundamental research to enable automatic discovery of constitutive laws for soft functional...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund $518,552 of research at the University of Minnesota from May 1, 2025 to April 30, 2030. The project aims to leverage artificial intelligence (AI) techniques to improve the efficiency of transportation control infrastructure. Specifically, the research will integrate high-fidelity vehicle trajectory data and machine learning to develop more nuanced traffic models that can predict...
- This $600,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop artificial intelligence (AI)-powered approaches to improve accessibility to public facilities for underserved communities. The research will establish theoretical and algorithmic foundations for scalable AI frameworks to address the Facility Accessibility Improvement Problem (FAIP). Key objectives include: Providing collective...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $150,000.00 supports research on co-designing safe, connected bikeways that align with local community needs. The project, titled "SMART AND CONNECTED BIKEWAYS: COMMUNITY-DRIVEN GREEN STREET DESIGNS," explores how advances in generative artificial intelligence (AI) can integrate community input into the bikeway design process. The research aims to develop AI-based systems that can effectively incorporate varied data on community priorities, safety requirements, and engineering feasibility to produce bikeway designs that are technically feasible, regulation-compliant, and aligned with community values. The award was made to the University of Maryland, College Park and is planned to have sub-awards. This project contributes to advancing the responsible use of AI in participatory infrastructure design and planning.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 8/3/25 |