Project Grant 2523717
- This $309,736 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research project between Florida A&M University (FAMU) and Florida State University (FSU). The project aims to develop scalable, interpretable AI-based computational tools to analyze single-cell sequencing data for understanding the evolution of cancer. Key objectives include: 1) Using quantum-inspired computing to increase...
- This Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) provides $399,978 to Florida A&M University (FAMU) to develop and implement an innovative approach for preparing undergraduate STEM students for careers in the quantum information science and engineering (QISE) workforce. The project uses a three-step "Inspire, Educate, and Experience" approach to build foundational knowledge and awareness of quantum science among STEM students at...
- This Project Grant award from the National Science Foundation's Biological Sciences (CFDA 47.074) program will provide $100,000.00 to George Mason University to develop novel quantum algorithms for analyzing large-scale single-cell omics data. The project aims to create faster and more powerful computational tools for advancing single-cell research and drug discovery by leveraging quantum computing principles. The research will formulate complex biological data analysis problems as...
- This Project Grant award from the National Science Foundation's Biological Sciences (CFDA 47.074) Federal Grant Program provides $200,000.00 to Rowan University to develop novel quantum algorithms for analyzing single-cell omics data. The project aims to build faster and more powerful computational tools to advance the understanding of cell behavior, interaction, and drug response using emerging single-cell sequencing technologies. The research will formulate complex biological analysis tasks as...
- This $1,500,000 federal Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) supports the development of research and education capabilities in quantum information science and engineering (QISE) at Florida A&M University (FAMU). The key objectives include: Establishing a multidisciplinary QISE research program through collaboration with the University of Chicago, Florida State University, IBM-HBCU Quantum Center, and Keysight Technologies. This...
- This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program Project Grant award of $250,000 provides funding to Florida A & M University (FAMU) for the "RCN-UBE: HBCU FACULTY COLLABORATIVE NETWORK FOR THE INTEGRATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING INTO TEACHING GENERAL BIOLOGY" initiative. The project aims to enhance student success and enrich the general biology learning experience at HBCU institutions by integrating artificial intelligence...
- This federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop open-source, hands-on training materials for quantum-based machine learning (QML) in science and engineering. The $216,151 grant, awarded to Kennesaw State University Research and Service Foundation, Inc., will enable the collaborative development of nine transferable QML training modules with hands-on labs,...
- This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund collaborative research to develop scalable quantum computing systems. The project aims to interconnect multiple quantum processing units (QPUs) with limited qubit capacity into a scalable "virtual quantum machine" (VQM) with far greater qubit capabilities. The research will investigate fundamental qubit entanglement and...
- This Project Grant award of $417,818 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research by the University of Colorado to explore how quantum correlations can be leveraged to build more efficient machine learning models using quantum computing. The project aims to demonstrate that quantum correlations can enhance the expressive power of machine learning models compared to classical approaches, and to...
- This $900,000 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of custom hardware accelerators and software solutions to enable pervasive use of genome sequencing in precision healthcare. The three key objectives are: 1) designing domain-specific accelerators for whole genome sequencing and emerging genomics applications, 2) developing point-of-care pathogen detectors using real-time...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) project grant, with a total award of $290,049 from October 1, 2025 to September 30, 2028, involves a strategic collaboration between Florida A&M University (FAMU) and Florida State University (FSU) to develop capacity in genome research using quantum machine learning (QML). The project aims to address challenges in interpreting single-cell sequencing data for understanding cancer evolution by: (1) using quantum-inspired computing to increase the scalability of phylogenetic tree building on single-cell DNA sequencing data; (2) building automated, interpretable deep-learning tools to distinguish between tumor and normal cells in single-cell RNA sequencing data; and (3) increasing the number of students studying explainable AI and QML for genome data analysis. The project's broader impacts include publishing research and releasing open-source software.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $290.0k | 8/21/25 |