Project Grant 2615519
- This $298,988 federal Project Grant awarded by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research to develop a novel score-based approach for quickly detecting abrupt changes in the statistical characteristics of online data streams. The project aims to leverage deep neural networks to learn the score (gradient of the log probability density) of data, which can enable change detection without...
- The National Science Foundation Division of Computing and Communication Foundations awarded New York University $370,237 on January 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop fast combinatorial algorithms for graph problems including maximum matching, maximum flow, and shortest paths. The research addresses algorithm design for graphs in two settings: the standard model where input graphs are known in advance and performance targets...
- The National Science Foundation Division of Computing and Communication Foundations awarded New York University $299,025 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research on randomness extraction and error-correcting codes against computationally bounded adversaries. The project develops deterministic randomness extractors for efficiently samplable weak sources, including low-entropy classical and quantum sources...
- The National Science Foundation Division of Information and Intelligent Systems awarded New York University $639,989 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop deployable network architectures that enable low-delay and resilient operation in support of applications such as virtual reality and connected autonomous systems. The project, organized into three thrusts, establishes architecturally extensible approaches for...
- This $142,140 National Science Foundation project grant supports research on quickest threat detection in adversarial sensor networks. Funded under the NSF Engineering program (CFDA 47.041), the University of Georgia Research Foundation will conduct three thrusts of collaborative research from August 2022 to August 2024. The first thrust focuses on detecting threats in a single data stream under adversarial attacks with temporal structure. The second addresses multiple independent data...
- The National Science Foundation Division of Computing and Communication Foundations awarded New York University $375,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop fine-grained complexity theory for matrix computations. The project seeks to understand which matrix computation problems admit faster algorithms and what techniques will enable those improvements. Research focuses on establishing precise asymptotic complexity...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded The Trustees of Columbia University in the City of New York $473,811 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop quantum detection and estimation schemes for sensing and communication applications. The project addresses the design of quantum detection and quantum parameter estimation systems using classical optimization tools and parametric quantum circuits suitable for...
- The National Science Foundation Division of Computer and Network Systems awarded New York University $600,000 on March 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for a U.S.–Ireland research and development partnership developing integrated modeling, analysis, and control frameworks to enhance resilience and safety in industrial control systems under cyber and physical threats. The project, performed in New York, New York, addresses how attacks...
- The National Science Foundation Division of Computing and Communication Foundations awarded The University of Chicago $330,438 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a unified theory of information-computation tradeoffs for statistical tasks. The project establishes lower bounds in restricted but broad computational models, including low-degree polynomials, statistical queries, polynomial threshold functions, and the...
- The National Science Foundation Division of Computing and Communication Foundations awarded Florida Atlantic University $138,325 on January 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop decentralized algorithms for resource-constrained distributed decision-making with false discovery rate control. The project addresses efficient processing and collective decision-making in networks of battery-powered or computationally limited devices....
The National Science Foundation Division of Computing and Communication Foundations awarded New York University $326,288 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop localization theories for modern quickest detection. The project establishes information-theoretic bounds and statistical performance of quickest detection algorithms—also known as sequential change-point detection—in modern asymptotic regimes and complex data structures. Quickest detection has applications in biosurveillance, environmental monitoring, disaster response, homeland security, manufacturing quality control, and threat detection. The research employs a divide-and-conquer approach partitioning global detection problems into local sub-problems investigated through localization theorems. Specific research aims include information bounds on sparse change detection, federated quickest detection over networks, and quickest detection with differential privacy. Graduate students receive training through project involvement. The work will provide rigorous foundations for future sensing and monitoring systems and help practitioners assess when improvements in data quality or sensing techniques are necessary to meet application-specific requirements. Performance occurs at New York University in New York, New York, with a period of performance from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $326.3k | 7/20/26 |