Project Grant 2523716
Award Date 10/1/25
Completion Date 9/30/28
Dollars Obligated $310K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Tallahassee, FL 32307, USA
Similar Awards
- 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:...
- The National Science Foundation (NSF) awarded a $162,510 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Oklahoma to develop algorithms for scalable inference and phylodynamic analysis of tumor haplotypes using low-coverage single-cell sequencing data. The goal is to create a phylodynamic framework to jointly infer cancer phylogenetic trees and evolutionary parameters from single-cell DNA sequencing data. This will enable cancer...
- 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...
- The National Science Foundation (NSF), through its Integrative Activities program (CFDA 47.083), awarded a $1,182,323 Project Grant to North Carolina Agricultural and Technical State University (NC A&T). The grant, awarded on September 1, 2025, aims to develop novel deep learning frameworks for automating the segmentation of cell nuclei in chromatin-sensitive partial wave spectroscopic (CSPWS) microscopy images. This will streamline the analysis of chromatin structure and nuclear shape...
- 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 $350,000 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program on August 1, 2025. The grant will be used by the University of California, Berkeley to develop scalable algorithms for making artificial intelligence (AI) model predictions more understandable and explainable. This research aims to advance the transparency and trustworthiness of AI systems, which is critical for their safe deployment in applications...
- 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...
- The National Science Foundation awarded a $434,030 Project Grant to the H. Lee Moffitt Cancer Center and Research Institute Hospital, Inc. to develop a rigorous and scalable machine learning framework under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The one-year project will establish a theoretical foundation for algorithms to self-assess performance through quantifying confidence in network decisions. Researchers will derive new training methods...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, titled "CAREER: ARTIFICIAL INTELLIGENCE-DRIVEN FRAMEWORK FOR EFFICIENT AND EXPLAINABLE IMMUNOTHERAPY DESIGN", will develop a computational framework that integrates knowledge from scientific publications and databases with experimental data using large language models and graph neural networks. The goal is to provide a transformative tool for the design of more...
- This $276,308 federal Project Grant award from the National Science Foundation's Integrative Activities program (CFDA 47.083) aims to advance computational and statistical methods for studying single-cell genomics data in the context of tissue organization. The overarching goals are to: (a) develop novel spatial algorithms to identify gene expression patterns and tissue changes in 2D space, (b) gain new data-driven insights on tissue dynamics in development and disease, and (c) create an...