Project Grant 2318574
- The National Science Foundation (NSF) awarded a $199,792 Computer and Information Science and Engineering (CISE) program grant to the University of Miami to develop novel methodologies for detecting data shifts in artificial intelligence/machine learning-enabled software as a medical device (AI/ML-SAMD) in medical cyber-physical systems. The project aims to create a framework that allows SAMDs to adapt through real-world learning, enhancing their safety and effectiveness in detecting lung cancer...
- The National Science Foundation (NSF) awarded a $125,731 Project Grant to the Kennesaw State University Research And Service Foundation, Inc. (KSU R&SF) on October 1, 2023. The award is funded through the NSF's Engineering program (CFDA 47.041), which supports a wide range of research and development activities to advance engineering knowledge and capabilities. This particular award will tackle the challenge of exploring, analyzing, and interpreting the complex interactions in the tumor...
- The National Science Foundation (NSF) awarded a $120,000 Project Grant to Tennessee State University under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant funds a collaborative research project to develop a framework for automating end-to-end resource management of 5G-enabled Internet of Things (IoT) devices using reinforcement learning (RL) techniques with massive multiple-input multiple-output (MIMO) in large-scale networks. The project aims to address the...
- 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 (CFDA 47.070) of $195,000 will fund the development of a weakly-supervised breast cancer detection system using active and weakly-supervised learning techniques to improve breast cancer diagnosis from ultrasound images. The project aims to create a deep learning model that can detect breast cancer effectively with minimal annotations, addressing the challenges of noisy, low-contrast...
- This $546,385 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) will support the development of a machine learning framework for training models across hospitals to address screening and treatment disparities in breast cancer. Specifically, the grant will fund research at Stanford University from September 2022 to August 2026 to create a fair federated representation learning algorithm and framework that can train...
- The National Science Foundation (NSF) awarded a $382,000 Computer and Information Science and Engineering (CISE) program grant (CFDA 47.070) to North Carolina Agricultural and Technical State University (NC A&T) to expand AI research, education, and workforce development capabilities at the institution. The 2-year project, running from October 2024 to September 2026, aims to: Develop robust, explainable, fair, and privacy-preserving AI models for COVID-19 detection and analysis of biomedical...
- This two-year, $156,911 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research applying graph neural networks, self-supervised learning, and meta learning techniques to cancer multi-omics data and driver discovery. Specifically, the awardee, Oakland University, will construct a graph neural network model incorporating biological domain knowledge to...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant, with the CFDA number 47.070, provides $203,981 in funding to Kean University to develop a weakly-supervised breast cancer detection system using active and weakly-supervised learning techniques applied to breast ultrasound imaging. The project aims to create a deep learning model that can effectively detect breast cancer in ultrasound images with minimal reliance on costly manual...
- The University of Chicago received a $149,999 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program grant (CFDA 47.070) on May 1, 2024. This "COLLABORATIVE RESEARCH: EAGER: CPS: DATA AUGMENTATION AND MODEL TRANSFER FOR THE INTERNET OF THINGS" project aims to address technical gaps in anomaly detection for network management in Internet of Things (IoT) environments. Key objectives include developing techniques to improve novelty detection...
The National Science Foundation (NSF) awarded a $131,290 Project Grant under the Computer and Information Science and Engineering (CISE) program to Clayton State University and Jarvis Christian University. The grant funds a collaborative research project to develop novel machine learning (ML) algorithms and Internet of Things (IoT) hardware for cancer detection, prediction, and treatment. The key objectives are to: 1) create ML-based software to detect, identify, and predict cancer cell growth and treatments, 2) integrate ML algorithms with IoT devices to enable cancer research data collection, 3) develop smart camera-based applications for visual skin cancer data analysis, and 4) offer undergraduate and graduate courses and research projects in applied ML and IoT for medical imaging and cancer treatment. The project aims to catalyze research collaborations between these minority-serving institutions and advance curriculum in these emerging technology domains.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $131.3k | 9/7/23 |