Project Grant 2551110
- The National Science Foundation Division of Computing and Communication Foundations awarded The Research Foundation for the State University of New York $316,988 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop advanced diffusion models for molecular graph generation through collaborative research. The project, performing at Stony Brook University in Stony Brook, New York, runs through August 31, 2029. Research will focus on...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Illinois $530,625 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop multimodal generative artificial intelligence models for autonomous biomolecular design and accelerated discovery. The research will create a unified, self-improving AI framework that integrates molecular sequence and three-dimensional structure co-design with...
- Federal Grant Award Summary Texas A&M Engineering Experiment Station received a $300,000 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025, through September 30, 2028. The award supports collaborative research titled "HEXAI: Holistic Exploration for Design Automation of Efficient AI Accelerators," which focuses...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded Texas A&M University $299,999 on September 1, 2026, to develop and deploy an open-source training platform for computational methods and artificial intelligence in biological sciences under the Computer and Information Science and Engineering program (CFDA 47.070). The project addresses the gap in formal coursework in advanced computational methods within university biology programs by creating an accessible,...
- The National Science Foundation Division of Computing and Communication Foundations awarded Texas A&M Engineering Experiment Station $383,884 on June 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a multi-agent framework coordinating generative AI-based agents for personalized and scalable computing education. The project addresses instructor capacity constraints in delivering timely, personalized feedback to large computing classes by...
- The Texas A&M Engineering Experiment Station was awarded a $325,000 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year grant, awarded October 1, 2021 and set to be completed by September 30, 2024, will support research into developing low-complexity algorithms for unsourced multiple access and compressed sensing in large...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Texas A&M University $120,000 on January 1, 2027, under the Engineering program (CFDA 47.041) to develop a subspace optimization framework for resource-efficient and private fine-tuning of large language models. The research addresses the challenge of adapting general-purpose large language models to specialized tasks without requiring substantial computing resources or access to sensitive...
- This $600,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund the development of new statistical methods and machine learning frameworks for measuring differences between probability distributions. The grant supports the establishment of conditional transport as a novel statistical distance metric to address limitations of existing distribution comparison methods. It will also develop an efficient...
- This $300,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, awarded on April 1, 2025, aims to develop a foundation model for predicting rare events in atomistic simulations. The research, conducted by the University of Maryland, College Park, leverages advanced AI techniques like equivariant transformers, generative models, and multimodal learning to enhance prediction accuracy and generalization across...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Texas A&M Engineering Experiment Station $550,000 on April 1, 2026, under the Engineering program (CFDA 47.041) to establish fundamental knowledge in dual-wavelength sub-diffraction-limited digital-light projection for scalable fabrication of nanostructured high-performance polymer materials. The research addresses resolution-scalability tradeoffs in low-energy, continuous-wavelength DLP...
The National Science Foundation Division of Computing and Communication Foundations awarded Texas A&M Engineering Experiment Station $305,483 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on advanced diffusion models for molecular graph generation. The project develops generative artificial intelligence methods to accelerate molecular discovery by generating chemically meaningful molecular structures under structural and practical constraints. The research addresses challenges in current generative AI models' ability to capture three-dimensional molecular structures and meet design constraints while maintaining computational efficiency despite limited high-quality training data. Outcomes are anticipated to advance drug discovery, materials design, sustainable energy, and manufacturing applications. The project includes education and workforce development components providing open research tools, course materials, mentoring activities, and workshops for students from high school through graduate school levels. Performance occurs in College Station, Texas, with a period of performance from September 1, 2026, through August 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $305.5k | 7/24/26 |