Project Grant 2451631
- Federal Grant Award Summary Louisiana Tech University received $194,376 in funding through an Engineering Research Initiation (ERI) award from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041) for the period of August 15, 2025, through July 31, 2027. The award supports the development of an airborne visual-olfactory remote sensing system for early wildfire detection utilizing autonomous unmanned aircraft systems (UAS). The research...
- Federal Grant Award Summary Louisiana Tech University received a $189,936 Project Grant from the National Science Foundation (NSF), Division of Social, Behavioral, and Economic Sciences (CFDA 47.075) on September 1, 2025, to conduct research addressing artificial intelligence (AI) acceptance in rural coastal communities. The three-phase project will deliver research findings and methodologies focused on understanding and improving how AI systems incorporate local knowledge from rural...
- Federal Grant Award Summary Louisiana State University received a $500K collaborative research project grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041), awarded October 1, 2025, with completion targeted for September 30, 2029. The project develops adaptive and responsive magnetic swarms (ARMS)—micron-scale magnetic colloidal particle systems capable of cooperative movement through...
- Federal Grant Award Summary The National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) awarded $299,748 to the University of Louisiana at Lafayette on October 1, 2025, for a 24-month Computer Science for All (CSforAll) research-practice partnership project. The award supports the development and implementation of a comprehensive Pre-K through 12 (PreK-12) artificial intelligence (AI) literacy curriculum pathway across Louisiana school systems,...
- Federal Project Grant Award Summary Louisiana State University received a $500,000 project grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded July 15, 2025, with completion targeted for June 30, 2028. The project develops scalable and efficient techniques for graph representation learning (GRL) optimized for large-scale graph data stored in modern data lakes....
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $574,930 to Georgia Tech Research Corporation under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop an integrated robot learning system that enables service robots to rapidly acquire and adapt skills for real-world applications. The project, which commenced July 1, 2025 and concludes June 30, 2030, will deliver a coupled learning and...
- Federal Grant Award Summary Louisiana State University received a $299,992 Project Grant from the National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) beginning July 1, 2025 and concluding June 30, 2028. The award supports the development of novel computational techniques for geometric control and optimization, specifically advancing unfitted finite element methods (FEMs) to create robust numerical...
- Federal Grant Award Summary Louisiana Tech University received a $395,362 Project Grant from the National Science Foundation (NSF) Division of Physics under the Mathematical and Physical Sciences program (CFDA 47.049), effective August 1, 2025 through July 31, 2028. The award supports research on searches and measurements in multi-jet production at the Large Hadron Collider (LHC) and the High-Luminosity LHC (HL-LHC). The project focuses on advancing understanding of the strong nuclear force...
- Federal Grant Award Summary Louisiana Tech University received $194,513 in funding from the National Science Foundation (NSF) Division of Chemistry under the Mathematical and Physical Sciences (CFDA 47.049) program to acquire a Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometer (MALDI-TOF MS). The award, effective September 1, 2025, through August 31, 2028, supports the research initiatives of six faculty members and establishes a multi-user analytical instrument...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded Louisiana State University a $274,244 Project Grant under the STEM Education program (CFDA 47.076) beginning September 15, 2025, with completion targeted for February 28, 2027. The Time4CSforLouisiana collaborative research initiative establishes a Research-Practice Partnership (RPP) among traditional public and charter elementary schools in South Louisiana (Baton Rouge, New Iberia, and surrounding districts) and...
Louisiana Tech University received a $163,896 Project Grant award from the National Science Foundation (NSF), Division of Computer and Network Systems, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award, effective April 1, 2026, through March 31, 2028, supports research and development of an intelligent ground mobile robot that integrates visual and olfactory sensing capabilities for indoor odor, gas, and volatile organic compound (VOC) source localization. The project delivers a semantic-level multi-modal integration framework that leverages large language models to enable robotic agents to fuse visual and olfactory information for enhanced environmental interpretation and source detection in indoor settings. The research produces methodologies to address the simulation-to-reality gap by translating simulated odor plume data into realistic representations using real-world plume data as reference points. The project also delivers educational products through interdisciplinary training opportunities in robotics and artificial intelligence for undergraduate and graduate students. The resulting technology has practical applications in safety monitoring, indoor hazard gas localization, and environmental sensing—contexts where visual perception alone is insufficient for effective robot operation.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $163.9k | 4/10/26 |