Project Grant 2452149
- This $261,620 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop algorithms and theoretical analysis for large-scale resource allocation across diverse domains. Key examples include optimizing worker shift assignments, coordinating disaster relief efforts, and assigning students to courses. The project addresses three core challenges: (1) effective preference elicitation to gather user...
- This National Science Foundation (NSF) Engineering Research Initiation (ERI) Project Grant, with the official CFDA number 47.041, was awarded to the Board of Trustees of Illinois State University Research and Sponsored Programs Division for $197,516 on June 1, 2024. The award will fund research to develop innovative algorithms enabling multiple agents to communicate and collaborate effectively in solving complex network optimization problems, with a focus on optimizing the nation's evolving...
- This Project Grant award for $199,991 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award aims to develop a new framework for designing efficient decentralized algorithms that can reliably make decisions while bounding the average proportion of wrong decisions in a resource-constrained network. The research will explore three main thrusts: (i) communication-efficient multi-hop network...
- This National Science Foundation (NSF) CAREER award, titled "EFFICIENT ALGORITHMS FOR GENERALIZED QUASI-VARIATIONAL INEQUALITIES IN STOCHASTIC AND DISTRIBUTED NETWORKS," aims to develop foundational mathematical tools to address emerging challenges in distributed and uncertain systems. The $512,830 award, effective October 1, 2025 through September 30, 2030, is funded under the NSF's Engineering program (CFDA 47.041). The project will contribute to more reliable, efficient, and...
- 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 $420,000 Project Grant to the University of California Irvine under the Engineering federal grant program (CFDA 47.041) for work spanning September 1, 2022 to August 31, 2025. The award funds research to design distributed and quantized kernel-based learning algorithms over interconnected sensing systems without transmitting collected data over networks. Specifically, the university will develop online distributed and quantized kernel-based learning...
- This $440,888 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research to develop new models and a comprehensive framework for understanding the complexities and interdependencies of integrated infrastructure systems, such as energy, transportation, water, and telecommunications. The research aims to enhance system performance, improve resilience to risks, and promote efficient resource utilization, addressing the challenge of designing and...
- This Project Grant award for $249,999 from the National Science Foundation's Engineering program (CFDA 47.041) will support the development of a novel communication-efficient hierarchical distributed optimization framework that integrates optimization, communication, and machine learning. The key objectives are to: (1) develop a general framework for learning-enabled hierarchical distributed optimization algorithms; (2) create methods for learning-assisted adaptive quantization, communication,...
- This federal Project Grant award, titled "CAREER: TOWARDS DATA-DRIVEN, ROBUST, AND VERSATILE ONLINE RESOURCE ALLOCATION," was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The $263,399 award, granted on January 15, 2025, will support research at Georgia Tech Research Corporation to develop innovative algorithms for online resource allocation. The key focus areas include: (i)...
- The National Science Foundation (NSF) awarded a $250,000 Project Grant to Carnegie Mellon University (CMU) under the Engineering program (CFDA 47.041). The grant supports the development of a "Collaborative Research: Scalable Circuit Theoretic Framework for Large Grid Simulations and Optimizations" project. The project aims to create a generalized distributed framework for solving large-scale power grid problems that are both fast and robust, enabling transformative changes in future...
This Project Grant award of $433,114.00 from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop practical distributed algorithms for optimal resource allocation problems in large, distributed networks. The award, with a period of performance from October 1, 2025 to September 30, 2028, will focus on advancing the theory and practice of distributed submodular maximization under partition matroid constraints. The project seeks to reduce in-network communication costs, maintain favorable optimality gaps, and accelerate solutions for optimal resource allocation in applications such as traffic and energy grid management, environmental monitoring, and autonomous systems. The awardee, the University of California, Irvine, will provide educational and training opportunities for students from K-12 to graduate level as part of this research effort.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $433.1k | 7/31/25 |