The National Science Foundation awarded a $700,000 Project Grant to the Georgia Tech Research Corporation from July 1, 2021 to June 30, 2024 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant funds collaborative research on developing Markov chain algorithms to solve problems in computer science, statistical physics, and self-organizing particle systems. The Computer and Information Science and Engineering program supports...
Colorado State University's Sponsored Programs division will provide $299,942 in research services over three years under a Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070). The university will conduct collaborative research to develop new techniques in algorithms and complexity analysis to understand how global constraints influence the tractability of sampling and optimization problems on probabilistic graphical models....
This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with CFDA number 47.070, provides $661,515.00 in funding to Georgia Tech Research Corp to conduct collaborative research on fundamental challenges in discrete and continuous optimization. The research aims to develop new techniques that enable faster and more accurate algorithms for modern AI and scientific computing applications. Key research thrusts...
This $318,590 Project Grant awarded by the National Science Foundation (NSF) Engineering Program (CFDA 47.041) supports research and development at the Georgia Tech Research Corporation aimed at advancing computational models and algorithms for distributed constrained optimization in complex multi-agent networks. The key objectives are to: (i) develop an enhanced mathematical modeling framework utilizing variational inequality theory; (ii) design and analyze new iteratively regularized...
The National Science Foundation awarded a $500,000 Project Grant to the Georgia TECH Research Corporation from July 1, 2021 through June 30, 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research to develop models for learning, refining, and understanding through relational feedback. The Computer and Information Science and Engineering program aims to advance computing and communication sciences through investigator-initiated research...
This Project Grant award from the National Science Foundation's (CFDA 47.049 - Mathematical and Physical Sciences) program provides $220,003 to Georgia Tech Research Corporation to conduct research on "Versatile and Scalable Sampling via Geometric Methods, Optimization, and Numerical Analysis." The project aims to develop innovative and versatile sampling algorithms, along with analytical tools, to improve the scalability and performance of sampling techniques for high-dimensional...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) (CFDA 47.070) Project Grant award of $108,000 to the Georgia Tech Research Corp, Office of Sponsored Programs, will fund collaborative research to develop a unified framework for analyzing adaptive stochastic optimization methods for machine learning applications. The research aims to produce self-tuning optimization algorithms with rigorous guarantees to reduce wasteful computation required by current...
This $438,342 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to develop efficient and rigorous techniques for solving complex, multi-objective decision-making problems under uncertainty. The research aims to facilitate tradeoffs among multiple objectives while using statistically valid algorithms to achieve high efficiency. Key approaches include novel comparison techniques, data recycling, computer simulation, and parallel...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research on graph theory and its applications. The award of $150,000.00 to the Georgia Tech Research Corporation, which will run from August 1, 2025 to July 31, 2028, focuses on developing structural techniques for understanding dense graphs. Key areas of focus include forbidding vertex-minors and studying graphs with a dependent first-order...
The National Science Foundation awarded a $500,000 Project Grant to the Georgia Tech Research Corporation from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research on developing error resilient signal processing and control techniques using real-number function encoding, with a focus on applications to nonlinear systems ranging from adaptive filters to deep neural networks. The award supports...