Project Grant 2541022
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a $508,848 Project Grant to The Regents of the University of California, doing business as University of California, Berkeley, effective July 1, 2025, through May 31, 2027, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This CAREER award supports foundational research aimed at developing theoretical understanding of deep learning...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded $375,000 to UCLA under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on August 15, 2025, for a collaborative research project extending through July 31, 2028. This project grant supports the development of specialized theoretical frameworks and algorithms for min-max optimization, a mathematical approach that underpins critical...
- Federal Grant Award Summary The National Science Foundation (NSF) Computer and Information Science and Engineering program (CFDA 47.070) awarded $249,987 to the University of California, Berkeley on July 1, 2025, to conduct collaborative research on building a mathematical foundation for deep reinforcement learning (DRL). This project addresses a critical gap in theoretical understanding of DRL systems, which have achieved significant real-world breakthroughs in robotics, gaming, healthcare, and...
- Federal Grant Award Summary Carnegie Mellon University received a $331,723 CAREER award from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective June 1, 2026 through May 31, 2031. The award supports research developing new mathematical and computational tools for solving large-scale problems involving networks, optimization, and data analysis. The project...
- Federal Grant Award Summary The University of California, San Diego received a $181,124 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective July 1, 2025 through May 31, 2026. The award supports fundamental research on large-scale stochastic optimization algorithms that exploit smooth substructure in non-smooth optimization problems. The project delivers both research advances and...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 – Mathematical and Physical Sciences) awarded $140,000 to the University of California, Berkeley on August 15, 2025, for a collaborative research project titled "Performance Guaranteed Statistical Learning with Multiple Classes of Models." The project, which extends through July 31, 2028, will develop a next-generation statistical framework called...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences (Mathematical and Physical Sciences program, CFDA 47.049) awarded a CAREER grant of $269,180 to the University of California, Berkeley, effective September 1, 2026 through August 31, 2031. The award supports fundamental research in algebraic geometry focused on developing novel intersection theory tools to advance understanding of moduli spaces of curves—mathematical structures that classify algebraic...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $600,000 CAREER grant (CFDA 47.041, Engineering program) to the University of California, Santa Barbara, effective April 15, 2026, with completion targeted for March 31, 2031. This project grant supports research on large language model (LLM) watermarking and content identification methodologies designed to embed hidden signals into AI-generated text, enabling...
- Federal Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded a $549,999 CAREER grant (CFDA 47.041, Engineering program) to The Research Foundation for the State University of New York, effective September 1, 2025, through August 31, 2030. This project grant funds research into large-scale multi-objective learning through the development of novel algorithms and fundamental theory addressing real-world artificial intelligence and...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $250,000 to the University of Arizona under the Engineering program (CFDA 47.041) to conduct collaborative research on efficient bilevel optimization methods for planning and control applications. The award, which commenced October 1, 2025, and extends through September 30, 2028, will deliver advanced optimization algorithms and software tools designed to address...
The National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070) awarded a Project Grant of $364,815 to University of California, Berkeley on April 15, 2026, with completion scheduled for March 31, 2031. This CAREER award supports the development of rigorous mathematical foundations and algorithms for nonconvex nonsmooth optimization problems—a fundamental challenge in modern artificial intelligence and complex decision-making systems. The primary deliverables include establishment of new variational characterizations and stable algorithms capable of navigating irregular mathematical landscapes while escaping irregular saddle points, implementation of scalable second-order methods leveraging implicit dimension reduction, and development of a novel homotopic sketching framework for global optimality certification. Beyond core research outputs, the project delivers open-source software tools to ensure accessibility of high-performance optimization methods to both academic researchers and industry practitioners. Additionally, the award supports comprehensive educational initiatives spanning K-12 outreach, community college teacher training programs, and specialized graduate instruction designed to prepare the next generation of scholars for addressing emerging global scientific and engineering challenges. These integrated research, software, and educational components position the project to advance optimization methodologies applicable across energy grid management, machine learning training, and other real-world applications characterized by complex, nonconvex, nonsmooth problem structures.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $364.8k | 4/7/26 |