Project Grant 2615892
- Federal Grant Award Summary Purdue University received a $391,123 CAREER award from the National Science Foundation (NSF), Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), with performance period September 1, 2026 through August 31, 2031. The project delivers research and development of novel formal methods techniques and a general-purpose framework designed to help software developers rigorously examine and...
- Federal Grant Award Summary Purdue University received a $105,113 Project Grant from the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083) beginning September 1, 2025, with a completion date of August 31, 2027. This collaborative planning project, titled "CROSS: Building a Community Around Securing the Research Software Supply Chain," delivers foundational research and community engagement products designed to identify and mitigate cybersecurity...
- Federal Project Grant Award Summary Purdue University received a $600,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) effective August 1, 2025, through July 31, 2028. The award funds research and development of gradient-based discrete Markov Chain Monte Carlo (GD-MCMC) algorithms designed to improve sampling efficiency and statistical reliability for machine...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a five-year CAREER grant totaling $424,806 to the University of Michigan, effective May 1, 2026 through April 30, 2031, under the Computer and Information Science and Engineering program (CFDA 47.070). The project delivers domain-specific programming languages and embedded verification libraries for mathematical proof of correctness and security in parsing systems....
- Federal Project Grant Award Summary Purdue University received a $210,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) awarded on September 1, 2025, with completion targeted for August 31, 2028. This collaborative research project develops rigorous theoretical foundations for amortized inference, a machine learning paradigm that enables efficient, real-time statistical query responses by learning model-dependent mappings from data to...
- Federal Project Grant Award Summary Purdue University received a $326,628 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant, awarded July 1, 2026, with a completion date of June 30, 2031. This CAREER award supports research on distributed large-scale machine learning (ML) with security guarantees, addressing the concentration of ML development among resource-rich organizations by enabling secure, transparent participation from...
- Federal Grant Award Summary Carnegie Mellon University's Office of Sponsored Programs received an $850,000 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective July 1, 2026 through June 30, 2029. The project, "Integrating Cost and Behavior in Type Theory," develops a dependent type theory foundation for proof assistants that enables...
- The National Science Foundation awarded a $597,785 Project Grant to Purdue University to develop new techniques for automated verification and synthesis of input generators in property-based testing frameworks. This grant, funded through NSF's Computer and Information Science and Engineering program (CFDA 47.070), aims to enable precise reasoning about the soundness and completeness of software testing generators. The project will focus on developing new specification frameworks, type systems,...
- Federal Project Grant Award Summary The University of Delaware received a $400,000 project grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective June 1, 2025 through May 31, 2029. This award supports the development of advanced software verification tools designed to help scientific software developers identify and eliminate defects in their code....
- Federal Project Grant Award Summary Purdue University received a $401,546 CAREER award from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering, CFDA 47.070) effective June 1, 2026, through May 31, 2031. The project, "PTM-SEER: Software Engineering Foundations for Re-Using Pre-Trained Neural Models," delivers research and practical tools addressing the emerging challenge of reusing and adapting...
The National Science Foundation (NSF), Division of Information and Intelligent Systems, is awarding $866,530 to Purdue University under the Computer and Information Science and Engineering program (CFDA 47.070) for a four-year project running from September 1, 2026, through August 31, 2030. The project will develop foundational advances in type-based reasoning methods that integrate both over-approximate and under-approximate verification techniques to enhance software correctness assurance. The research will establish new theoretical frameworks within type systems that enable unified specification and validation of safety properties (captured through verifiers) and reachability properties (guiding testing and symbolic execution), with particular emphasis on handling complex control- and data-flow patterns, first-class functions, user-defined datatypes, concurrency, and state management. The project will deliver tailored verification, synthesis, testing, and symbolic evaluation tools targeting OCaml, a state-of-the-art industrial programming language, with applications to realistic program analysis. Expected outcomes include improved software trustworthiness, enhanced automated reasoning capabilities, advanced bug-finding methodologies, and better software maintainability—particularly relevant to assuring the correctness of code generated by AI-driven software generation tools. The work is conducted at Purdue University's West Lafayette, Indiana facility and represents the NSF's investment in advancing theoretical and practical aspects of software assurance in contemporary computing environments.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $866.5k | 6/30/26 |