Project Grant 2542902
- The National Science Foundation Division of Computing and Communication Foundations awarded The Johns Hopkins University $188,168 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research in large-scale bilevel optimization theory, algorithms, and applications. The award extends through July 31, 2027, with performance at Baltimore, Maryland. The project develops fast and scalable Hessian-free bilevel algorithms with convergence...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The Johns Hopkins University $520,028 on October 1, 2026, under the Engineering program (CFDA 47.041) for research developing mathematical foundations that integrate machine learning with discrete optimization algorithms. The research investigates the fundamental interplay between mixed-integer optimization, discrete geometry, and machine learning. The project will develop new mathematical tools...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded The Johns Hopkins University $525,000 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for a collaborative research project spanning August 15, 2025 through July 31, 2028. This project grant supports fundamental research in min-max optimization theory and algorithm development, addressing critical gaps in mathematical frameworks and...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Johns Hopkins University $357,069 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop interpretable artificial intelligence systems that help researchers identify cross-cutting connections across the scientific literature and accelerate discovery. The project creates large language model-based frameworks designed to recognize structural...
- The National Science Foundation Division of Computing and Communication Foundations awarded $462,092 to the University of Maryland Baltimore County on June 1, 2026, for collaborative research under the Computer and Information Science and Engineering program (CFDA 47.070). The project develops curricula and industry-academic partnerships to align undergraduate computer science education with evolving workforce demands in software engineering, particularly as AI-based tools reshape programming...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Johns Hopkins University $206,849 under the Computer and Information Science and Engineering program (CFDA 47.070) on October 1, 2025, for research on causal reasoning using information-theoretic methods. The project runs through December 31, 2027, with place of performance in Baltimore, Maryland. The research develops algorithms that identify information-theoretically simple explanations of causal...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Johns Hopkins University $447,317 on October 1, 2025, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop novel algorithms for extracting causal relationships from diverse, unstructured datasets. The research addresses a gap in machine learning where existing causal discovery methods rely heavily on interventional data from controlled trials, limiting their...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Southern California $871,225 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop theoretical foundations for multi-agent learning systems in artificial intelligence. The project advances the theory of online optimization and learning within multi-agent systems through three research thrusts. The first thrust characterizes optimal...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Connecticut $394,370 under the Computer and Information Science and Engineering program (CFDA 47.070) on July 1, 2026. This CAREER project grant funds research developing machine learning methods for scientific applications with minimal labeled training data, using a dynamical systems approach. The research addresses a critical bottleneck in scientific discovery: obtaining sufficient...
- The National Science Foundation awarded The Johns Hopkins University a $900,000 Project Grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to conduct collaborative research focused on understanding robustness in machine learning via parsimonious structures from October 1, 2022 to September 30, 2025. Specifically, the University will research conditions under which one can detect adversarial attacks on networks or data poisoning and reconstruct...
The National Science Foundation Division of Computing and Communication Foundations awarded The Johns Hopkins University $362,815 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to support research on structural and algorithmic foundations of variational inequalities in machine learning. The project develops foundational theory and scalable algorithms for systems with multiple interacting objectives, addressing gaps between existing mathematical and computational tools and practical applications in machine learning. The research encompasses game-theoretic and multi-agent formulations where systems seek stable equilibria rather than optimization of a single objective. The project integrates theoretical advances with undergraduate and graduate education, undergraduate student participation, K-12 outreach through Johns Hopkins' Center for Educational Outreach, and development of open-source, reproducible research resources. The tools developed have potential application beyond machine learning, including engineering, healthcare, finance, economics, energy systems, and software engineering. Performance occurs in Baltimore, Maryland, with a period of performance from August 1, 2026 through July 31, 2031. This is a CAREER award, supporting early-career faculty research and education integration.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $362.8k | 7/20/26 |