This three-year, $651,130 National Science Foundation Project Grant will support the development of Pathoradi, an interactive web server for artificial intelligence-assisted radiologic-pathologic image analysis, correlation and visualization at Howard University. The server aims to address current challenges in comparing radiologic and pathologic images through three components: deep learning algorithms for quantifying cell morphological phenotypes in whole brain sections, a graphical and...
This Project Grant award from the National Science Foundation (NSF), funded under the STEM Education (formerly Education and Human Resources) program (CFDA 47.076), supports the development, implementation, and study of evidence-based, innovative approaches to improve the preparation and success of undergraduate students at Historically Black Colleges and Universities (HBCUs) in pursuing STEM graduate programs and careers. The primary objectives of this $399,997 award to Tuskegee University,...
The National Science Foundation awarded a $139,407 Project Grant to Howard University on October 15, 2021 to complete work by September 30, 2024. The grant is part of NSF's STEM Education program (CFDA 47.076) to support development and improvement of STEM education and ensure the vitality of the Nation's STEM enterprise. Under this award, Howard University will characterize inclusive strategies that retain Black students in computer science through graduation and beyond. The University will...
This Project Grant award from the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076) provides $400,000 to Howard University to enhance computational biology training for undergraduate students. The key objectives are to develop new advanced computational biology courses, integrate big data analytics modules into existing biology courses, and establish a specialized image data analysis platform. These efforts aim to equip students with advanced skills in...
This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $220,000 to Yale University from September 1, 2023 through August 31, 2027. The project aims to develop a smarter artificial intelligence (AI) system to better understand and analyze complex medical images, such as those from multiple scans of a patient. The research team will tackle challenges to make the AI system more scalable, interpretable,...
This $300,000 Research Initiation Award was granted by the National Science Foundation's Division of Human Resource Development under the STEM Education (formerly Education and Human Resources) program (CFDA 47.076). The grant supports research activities at Jackson State University, a Historically Black College and University, to enhance STEM research and undergraduate education. The key products and services to be delivered under this award include: using machine learning to discern which...
This federal Project Grant award F31NS135973 for $292,133, provided by the National Institute of Neurological Disorders and Stroke (NINDS) under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) program, supports research to develop an AI-based computer vision system that can learn single-cell optical image features from diffuse glioma specimens imaged using stimulated Raman histology (SRH). The key objectives are to: (1) detect single cells in...
This $600,000 Project Grant awarded by the National Science Foundation (NSF) Division of Computing and Communication Foundations will fund the development of an innovative aerial imaging system that incorporates state-of-the-art artificial intelligence (AI) for real-time data processing and analysis. The project, titled "CISE-MSI:DP:REAL-TIME AERIAL IMAGING WITH EDGE AI," is a collaboration between students and faculty at Norfolk State University (NSU), a minority-serving institution...
This $1,192,951 federal Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will fund a 3-year program to provide 15 high school teachers and 60 high school students, primarily from underrepresented and rural communities in Mississippi, with innovative learning experiences in machine learning and computer vision. The project aims to develop the AI/ML competencies of these students and prepare them for potential careers in artificial intelligence and...
This $299,077 National Science Foundation project grant under the STEM Education program (CFDA 47.076) supports research at Howard University to investigate terahertz (THz) communication systems using artificial intelligence. The three-year award beginning in August 2022 will fund research thrusts to analyze challenges for baseband signal processing at THz frequencies, design explainable and scalable algorithms leveraging machine learning, and evaluate end-to-end system performance in...