Project Grant 2548161
- The National Science Foundation (NSF) awarded a $284,596 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Mississippi State University. The grant will establish a 10-week Research Experiences for Undergraduates (REU) site focused on cybersecurity in emerging technologies. The program will recruit and mentor underrepresented undergraduate students to engage in impactful research projects addressing real-world cybersecurity challenges in areas...
- Federal Project Grant Award Summary Montana State University's Office of Sponsored Programs received a $464,998 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), effective May 1, 2026 through April 30, 2029. This Research Experiences for Undergraduates (REU) Site award supports the development and delivery of structured educational and research...
- Federal Grant Award Summary The National Science Foundation (NSF), Division of Computing and Communication Foundations, awarded $456,210 to the University of Missouri System (operating as Curators of the University of Missouri) for a Research Experience for Undergraduates (REU) Site focused on consumer networking technologies. The award, which commenced October 1, 2026, and will conclude September 30, 2029, supports an undergraduate research program that engages students in mentored research...
- Federal Grant Award Summary The National Science Foundation's Division of Biological Infrastructure awarded $465,237 to the University of Missouri System through the Biological Sciences program (CFDA 47.074) on September 1, 2026, to establish a Research Experiences for Undergraduates (REU) Site in Neuroscience. The award will support the training of 30 undergraduate students—10 per summer across three consecutive summers (2027–2029)—with particular focus on recruiting students from...
- Federal Grant Award Summary The University of Southern Mississippi received a $301,326 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 – Mathematical and Physical Sciences) effective July 1, 2025, through June 30, 2028. This Research Experiences for Undergraduates (REU) Site award supports an intensive educational program that prepares undergraduate students for the STEM workforce by integrating deep learning methodologies with...
- This $387,774 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports the creation of a new Research Experiences for Undergraduates (REU) site at Marshall University focused on data science. Over a three-year period from May 2025 to April 2028, the program will provide 30 undergraduate students, including those from underrepresented and economically disadvantaged backgrounds, with transformative research...
- The National Science Foundation (NSF) has awarded a Project Grant of $450,292 to Oakland University (OU) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). This 3-year grant will support OU's Research Experiences for Undergraduates (REU) site in cybersecurity and artificial intelligence, titled "UNCORE-CYBERAI". The project will engage 30 undergraduate students, many from underrepresented groups and institutions with limited STEM...
- This federal Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will fund a 3-year, $454,873 program called "REU SITE: ACRES: ADVANCED COMPUTATIONAL RESEARCH EXPERIENCE FOR STUDENTS" at Michigan State University (MSU). The program aims to provide undergraduate students, particularly those from underrepresented groups, with a 10-week summer research experience focused on computational...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded the University of Southern California $499,637 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 15, 2025, to establish a Research Experience for Undergraduates (REU) Site focused on artificial intelligence. This project grant, scheduled for completion by May 31, 2028, will engage 10 undergraduate students per summer in...
- Federal Grant Award Summary Missouri University of Science & Technology received a $249,255 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070: Computer and Information Science and Engineering) awarded October 1, 2025, with completion targeted for September 30, 2026. Under this collaborative research initiative, the university will develop and prototype a CMOS+X (Complementary Metal Oxide Semiconductor plus emerging device...
Missouri State University received a $489,183 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), awarded October 1, 2026, with completion targeted for September 30, 2029. This Research Experiences for Undergraduates (REU) Site award supports a structured, research-intensive undergraduate training program designed to engage 30 students from computer science, engineering, information technology, and related disciplines in applied deep learning research over the three-year performance period. The program delivers hands-on research experiences, faculty mentorship, and professional skills training in scientific writing, oral communication, teamwork, and responsible research practices. The core products delivered through this award include student-conducted research projects focused on contemporary applications of deep learning methodologies, specifically addressing real-world challenges in cybersecurity, robotics, hate speech detection in social media, and autonomous systems. Research activities encompass the full pipeline of modern deep learning work—including data preprocessing, model design, training, and evaluation—with emphasis on both methodological advances and applied system development. Beyond research outputs, the program provides structured training and a collaborative environment that strengthens participants' technical abilities and confidence as emerging researchers, preparing the next generation of scientists and engineers for careers in deep learning and related fields.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $489.2k | 5/12/26 |