Cooperative Agreement AID663A000900404

This federal Project Grant award of $270,772.00, provided by the Office of Naval Research (ONR) under the Basic and Applied Scientific Research program (CFDA 12.300), supports research on "Stochastic Function Oracles and Their Use in Convergent Optimization Algorithms." The award, with a performance period from January 1, 2025 to December 31, 2027, was granted to the Georgia Tech Research Corporation, a non-profit research organization and state institution of higher education. The...

The Department of the Navy's Office of Naval Research (ONR) awarded a $305,000 Project Grant to Cornell University under the Basic and Applied Scientific Research program (CFDA 12.300). The grant, titled "Accelerated Supply Chain Optimization and Decision-Support in Contested Environments," has a performance period from March 1, 2025, to February 28, 2029. Cornell University's Office of Sponsored Programs will execute the research project, which aims to develop innovative solutions...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) provides $954,310 to Duke University to develop practical algorithms for responsive optimization in two key application domains: database query optimization and societal decision-making. The project aims to advance a principled and systematic approach to responsive optimization, which focuses on addressing uncertainty in inputs and allowing...

The Office of Naval Research awarded a $326,648 Project Grant to Rutgers, The State University of New Jersey under the Basic and Applied Scientific Research program (CFDA 12.300). The three-year award beginning in February 2021 will support research into robust primal-dual algorithms for saddle point problems with applications to multi-agent systems. The Basic and Applied Scientific Research program aims to stimulate basic and applied research that has potential to improve naval operations and...

The Department of the Navy's Office of Naval Research awarded a $150,000 Project Grant to Duke University under the Basic and Applied Scientific Research program (CFDA 12.300) to conduct research on "Graphical Modeling of High-Dimensional Tabular Data". The award, effective from September 1, 2024 to August 31, 2027, will support fundamental and applied research at Duke University's Office of Research Administration Division to advance naval capabilities, enhance technological...

The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $300,000 Project Grant to Auburn University to conduct research on the Stochastic Obstacle Scene (SOS) problem under the Mathematical and Physical Sciences program (CFDA 47.049). The research aims to improve heuristic algorithms and theoretical underpinnings for SOS variants, including the Optimal Traversal Path (OTP) and Optimal Obstacle Placement (OOP) problems. The project will develop new strategies to optimize...

This federal Project Grant award from the Office of Naval Research (ONR) under the Basic and Applied Scientific Research program (CFDA 12.300) provides $125,000.00 to The Trustees of Princeton University to conduct research on "Data-Driven Analysis and Design of Mathematical Optimization Algorithms" over a performance period from March 1, 2025 to February 29, 2028. The university will leverage its extensive expertise in scientific research and technological innovation to support...

The Department of the Navy's Office of Naval Research (ONR) awarded a $505,332 Project Grant under the Basic and Applied Scientific Research program (CFDA 12.300) to The Research Foundation for the State University of New York, doing business as Stony Brook University. The award, titled "A Computational and Physical Framework for Rapid Prototyping of Robotics Systems with Embodies Intelligence: From Cobotics Exoskeletons to Flying Robots", will fund research to develop advanced...

This $423,340 National Science Foundation project grant supports research at the University of Southern California to develop statistical models for selecting optimal populations. The goal is to establish reliable decision-making rules for determining which of multiple approaches or populations provides the best solution to a given problem. The three-year award under the NSF Engineering program (CFDA 47.041) will investigate methods for identifying the population with the largest mean based on...

This five-year, $410,524 National Science Foundation project grant supports research and educational outreach activities aimed at advancing efficient global optimization methods under uncertainty. Funded through NSF's Engineering Directorate under the CFDA 47.041 program, the grantee will develop novel Bayesian optimization algorithms that exploit known problem structures to overcome efficiency barriers in optimizing extremely expensive functions. Specific research goals include optimizing...