This Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) provides $400,000.00 in funding to the Massachusetts Institute of Technology (MIT) to accelerate the design of controllers for large-scale engineering systems, focusing on the application of artificial intelligence in transportation. The key products and services to be delivered through this 3-year award include: 1) Developing novel reward functions informed by inverse reinforcement...
This $175,822 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports Cornell University in developing an online learning framework for socially emerging mixed mobility systems. The goal is to create an equitable transportation system that improves safety, efficiency, and traveler acceptance by merging learning and control approaches. The framework will use mechanism design theory and contextual...
The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $202,000 Project Grant to Michigan State University under the Engineering (CFDA 47.041) program. The funding will support collaborative research to develop scalable, data-driven predictive control frameworks for managing mixed traffic systems with connected and automated vehicles alongside human-driven vehicles. The project aims to enable advancements in transportation efficiency and...
This $175,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at Texas Tech University from April 2022 to March 2024 related to developing novel modeling, control, and optimization methods for connected and automated vehicles. The research aims to improve the efficiency and sustainability of urban transportation systems while respecting individual...
The Massachusetts Institute of Technology (MIT) received a $500,000 Project Grant award from the National Science Foundation (NSF) Division of Computing and Communication Foundations on June 1, 2021 to support research titled "AF: SMALL: SHORTEST PATHS AND DISTANCE PARAMETERS: FASTER, FAULT-TOLERANT AND MORE ACCURATE." The period of performance for this award is from June 1, 2021 through May 31, 2024. The award is being used to support investigator-initiated research under the NSF's...
The National Science Foundation awarded a $540,000 Project Grant to the University of Michigan under the Engineering (47.041) federal grant program. The three-year award runs from June 2021 through May 2024 and supports collaborative research to transform connected and automated transportation through intelligent networking, cooperative sensing, and edge computing. Specifically, the University of Michigan will work with Purdue University and the University of Minnesota to develop, deploy, and...
The National Science Foundation Division of Industrial Innovation awarded a $250,000 Project Grant to the Massachusetts Institute of Technology from July 15, 2021 to June 30, 2023 under the Engineering federal grant program (CFDA 47.041). The grant funds the development of an automated tool to generate and optimize programs for operating on complex big data. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering...
The National Science Foundation (NSF) awarded a $1,200,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Massachusetts Institute of Technology (MIT) to develop energy-efficient computing hardware and algorithms for localization and mapping tasks in constrained cyber-physical systems. The project aims to design specialized chips that can perform these fundamental tasks in a fraction of the size, weight, and power of current...
The Massachusetts Institute of Technology (MIT) received a $1.2 million project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure to support research activities under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will fund a collaborative research project between Aug 1, 2021 and Jul 31, 2025 to develop frameworks that converge Bayesian inverse methods and scientific machine learning in Earth system models...
The Massachusetts Institute of Technology (MIT) received a $330,000 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program. The grant supports research from 2023 to 2026 on non-parametric estimation techniques to address challenges with covariate shift in machine learning models. Specifically, MIT researchers will characterize fundamental limits of estimation with covariate shift, develop efficient algorithms that achieve these limits,...