Project Grant 2540614
- Federal Grant Award Summary Georgia TECH Research Corp received a $574,930 Faculty Early Career Development (CAREER) 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), effective July 1, 2025 through June 30, 2030. The award funds the development of an integrated robot learning and planning system that enables service robots to rapidly acquire and adapt new...
- Federal Project Grant Award Summary Georgia TECH Research Corp received a $421,814 Project Grant award effective September 1, 2025, through August 31, 2028, from the National Science Foundation's Office of Multidisciplinary Activities under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). This Research Experiences for Undergraduates (REU) Site award supports the development and delivery of an undergraduate research training program focused on human neuroscience techniques and...
- Federal Grant Award Summary This CAREER (Computer and Information Science and Engineering) Project Grant, awarded on July 1, 2025, by the National Science Foundation (NSF) Division of Information and Intelligent Systems under CFDA 47.070, provides $438,719 in federal funding to Columbia University through June 30, 2030. The award supports the development of theoretical methods and analytical approaches for analyzing connectome datasets—detailed neural connectivity diagrams derived from...
- Federal Project Grant Award Summary The University of Georgia Research Foundation, Inc. received a $546,167 CAREER (Faculty Early Career Development) award from the National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041), effective June 1, 2026 through May 31, 2031. This five-year project will develop artificial intelligence (AI) tools and frameworks for analyzing complex neurological disease data by...
- Federal Grant Award Summary The University of South Carolina received a $370,687 CAREER award from the National Science Foundation's (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, effective July 1, 2025 through June 30, 2030. This project grant supports the development of a novel multiscale modeling framework designed to integrate heterogeneous sources of neuroscience data across cellular, mesoscale, and...
- Federal Grant Award Summary Georgia TECH Research Corp received a $298,251 Project Grant from the National Science Foundation's Division of Biological Infrastructure under the Biological Sciences program (CFDA 47.074), effective September 1, 2025 through August 31, 2030. This CAREER award funds the development of artificial intelligence and machine learning (AI/ML) algorithms designed to address annotation inequality in protein function characterization. The research delivers computational...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded Georgia TECH Research Corp a $499,978 Project Grant (CFDA 47.070 – Computer and Information Science and Engineering) effective October 1, 2025, with a completion date of September 30, 2028. This HCC (Human-Centered Computing) Small project will develop methods to create individually tailored Large Language Models (LLMs) designed specifically for strengths-based job coaching of...
- 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 Georgia TECH Research Corp received a $421,652 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded April 15, 2025, with completion targeted for October 31, 2027. This collaborative research initiative examines confirmation bias in visual data analysis and develops mitigation strategies to improve data-driven decision-making. The project delivers four primary...
- Federal Grant Award Summary Georgia TECH Research Corp received a $246,901 CAREER (Faculty Early Career Development) Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective June 1, 2026, through May 31, 2031. The award supports research to develop new mathematical foundations and computational tools that enhance machine learning systems' ability to leverage limited data by incorporating...
Georgia TECH Research Corp received a $354,774 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070), effective August 1, 2026, through July 31, 2031. This CAREER award supports the development of computational tools and neural-behavioral analysis methods to understand how the brain produces flexible decision-making and adaptive behavior in naturalistic settings. The research will advance foundational neuroscience knowledge by connecting neural activity recordings to animal behavior observed in complex, naturalistic environments rather than simplified laboratory conditions, with potential applications to neurological and psychiatric disorder research, brain-machine interfaces, and adaptive artificial intelligence systems. The project delivers three complementary research objectives: (1) inverse reinforcement learning methods that infer behavioral goals and sensory strategies from freely moving animals' visual input and actions; (2) cognitive state modeling through neural-behavioral dynamical systems; and (3) computational frameworks linking perception, decision-making, and motor output. Beyond core research outputs, the award supports educational and workforce development activities, including research-based courses, undergraduate participation in neuroscience and artificial intelligence research, and mentoring programs for K-12 teachers and students to broaden interdisciplinary training in computational neuroscience.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $354.8k | 5/25/26 |