The University of Maryland, College Park was awarded a $100,000 project grant from the National Science Foundation Division of Computer and Network Systems. The grant supports the planning of infrastructure for collaborative autonomy testing under the Computer and Information Science and Engineering program (CFDA 47.070). This program aims to advance the development and use of research cyberinfrastructure to enable and accelerate discovery and innovation in computing, communications, and...
This Project Grant award of $588,751 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to address computational challenges in real-time analysis of high-throughput sensor data for collaborative autonomous vehicles. The University of Maryland, College Park is developing a novel large-scale machine learning and edge computing framework to integrate emerging techniques like fast deep learning optimization, federated...
This Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $199,691 to San Diego State University Research Foundation for collaborative research titled "COLLABORATIVE RESEARCH: OAC CORE: STOCHASTIC SIMULATION PLATFORM FOR ASSESSING SAFETY PERFORMANCE OF AUTONOMOUS VEHICLES IN WINTER SEASONS." The research will develop a stochastic simulation...
The University of Maryland, College Park will conduct collaborative research on population games for cyber-physical systems under a $390,262 National Science Foundation Project Grant awarded from January 1, 2022 to December 31, 2024. The research aims to develop new theory and tools for transportation management under extreme demand through the Computer and Information Science and Engineering program (CFDA 47.070). This program supports investigator-initiated research and education across...
This $1,499,949 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to enhance the safety of autonomous vehicle (AV) systems. The key focus areas include: Developing rational machine learning (ML) models that can accurately predict driving decisions based on valid rationales, rather than inappropriate extrapolations from common scenarios. Integrating hardware reliability into the...
The University of Maryland, College Park was awarded a $497,194 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support the development of neural network-based solvers for integral equations in light transport from October 1, 2021 to September 30, 2024. As part of this award, the University will conduct investigator-initiated research to advance the use of computational tools for modeling light...
The University of Maryland, College Park was awarded a $174,983 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant supports research under the Computer and Information Science and Engineering program (CFDA #47.070) to advance the development and use of research cyberinfrastructure. Specifically, the grant funds the "DISCOVERING COMPLEX MIXTURE PATTERNS IN SPATIAL DATA TO ADVANCE RESILIENCE OF COMMUNITIES" project running from...
The University of Maryland, College Park was awarded a $842,431 project grant from the National Science Foundation Division of Computer and Network Systems. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070) and will support collaborative research using multi-stage learning to prioritize mental health from September 1, 2021 to August 31, 2025. The research aims to advance the development and use of cyberinfrastructure to accelerate discovery...
This National Science Foundation Project Grant award of $538,633 supports fundamental research in modeling stochastic traffic flows for smart mobility systems through February 2026. Funded under the Engineering program (CFDA 47.041), the award to the University of Maryland, College Park aims to develop machine learning and traffic flow theory to better estimate and predict mobility patterns. The grantee will fuse classical transportation models with learning techniques using transportation...
The University of Maryland, College Park was awarded a $1,865,164 Project Grant from the Federal Motor Carrier Safety Administration within the U.S. Department of Transportation. The grant funding supports the Motor Carrier Safety Assistance High Priority Activities Grants and Cooperative Agreements program (CFDA 20.237), which aims to enhance commercial motor vehicle safety through partnerships. Under this award, the University will develop an online tool to streamline the commercial motor...