Project Grant 2226900

Award Date 6/1/23
Completion Date 5/31/26
Dollars Obligated $306K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Ithaca, NY, USA
Similar Awards
Cornell University received a $946,238 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The grant will fund research from January 1, 2022 to December 31, 2026 titled "CAREER: ALGORITHMIC FOUNDATIONS FOR DEMAND-RESPONSIVE TRANSIT SYSTEMS - CREATING MORE EQUITABLE AND SUSTAINABLE CITIES THROUGH BETTER TRANSIT." The research aims to develop algorithmic solutions to...
This Project Grant award of $249,998 from the National Science Foundation Division of Electrical, Communications and Cyber Systems Engineering Directorate will fund research at Cornell University from September 2021 through August 2024. The research aims to advance co-design of prediction and control across data boundaries to improve efficiency, privacy, and markets. Specifically, the grantee will collaborate to develop techniques for coordinating predictive algorithms and controllers when...
Cornell University was awarded a three-year, $378,915 Project Grant from the National Science Foundation to support stochastic modeling and optimization research for emergency response systems under the Engineering program (CFDA 47.041). The grant will fund the development of quantitative models and algorithms to improve emergency response planning and coordination. By incorporating uncertainty into models of disaster impacts and resource availability, the awardee aims to help emergency managers...
This $300,000 federal Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences will fund research to develop new mathematical techniques for optimization in the context of big data and contemporary data science challenges. The principal investigator at Cornell University will lead this 3-year project, which aims to transform the design and analysis of optimization algorithms across diverse fields including machine learning, statistics, and control...
Cornell University was awarded a $537,796 Project Grant from the National Science Foundation Division of Research on Learning in Formal and Informal Settings under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the development of computational tools to revitalize the U.S. textile manufacturing workforce from September 1, 2021 through August 31, 2026. As part of the grant, Cornell University will work to advance research and...
The University of Southern California was awarded a three-year, $144,541 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The grant will fund research to develop a general approximation framework for coordinating offline resource allocation decisions and real-time operational policies across industries, with a focus on applications in online retail. The framework will use surrogate...
Cornell University was awarded a three-year $466,802 Project Grant from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) to conduct research on "OPTIMALITY AND ROBUSTNESS IN PIECEWISE-DETERMINISTIC SYSTEMS" from September 1, 2021 through August 31, 2024. Under this award, Cornell University researchers in Ithaca, New York will analyze mathematical techniques for modeling and controlling systems that exhibit both deterministic and...
Cornell University was awarded a $337,635 Project Grant from the National Science Foundation under the Engineering federal grant program (CFDA 47.041). The grant will fund research from January 1, 2022 to December 31, 2024 to develop scalable nanomanufacturing techniques for earth-abundant electrochromic materials. As part of its mission to improve engineering innovation and education, the NSF Engineering program supports projects like Cornell's that advance new nanoscale manufacturing processes...
This $371,708 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) supports fundamental research at Cornell University to develop heuristic rules for enhancing the stability and kinetic accessibility of nanoparticle superlattices. The research aims to formulate and test molecular-simulation based heuristics to predict the correlation between nanoparticle interactions and their self-assembly into target superlattice structures, including for...
The National Science Foundation awarded a $1,049,994 Project Grant to Cornell University under the Engineering (47.041) federal grant program. The grant will fund research from January 2022 through December 2026 to develop solvent-free synthesis methods for creating polymeric nanostructures with targeted material properties. Leveraging its expertise in materials engineering and nanotechnology, Cornell University will work to advance environmentally-friendly and cost-effective production...

Cornell University received a $305,824 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The award will fund research from June 2023 through May 2026 to develop a general strategy for coordinating offline resource allocation decisions with real-time operational policies across industries. The research aims to provide a context-independent coordination mechanism that can be applied to many sectors, including online retail. It will establish an approximation framework using surrogate functions to derive performance guarantees for coordination problems. The framework seeks to bound the relative gap between the optimal operational policy and an approximate one. Suitable surrogate functions will enable applying the approach across different applications, delivering efficient approximate solutions with demonstrable performance metrics. The resulting algorithms will be tested on publicly available datasets. Educational outreach is also included to engage students in hands-on optimization projects and create new data-centric decision-making degree programs.

Generated 3/5/24, 1:57 AM