Project Grant 2542826
- Purdue University was awarded a $599,999 Project Grant from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CFDA #47.070) program. The funding will support research to develop techniques for testing and detecting software upgrade failures in data-intensive distributed systems, which are critical components of many cloud-based computing services. Key objectives include implementing differential testing...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Pennsylvania $334,000 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to study metastable failures in large distributed computer systems. The research develops a unified framework addressing self-sustaining failure cycles where system degradation persists even after the original triggering problem is resolved. The first thrust establishes...
- The National Science Foundation Division of Computer and Network Systems awarded Purdue University $410,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods and tools for verifying the trustworthiness of pre-trained artificial intelligence models shared through open online repositories before their incorporation into scientific workflows and operational systems. The project addresses three security vulnerabilities in the...
- The National Science Foundation Division of Information and Intelligent Systems awarded Cornell University $666,000 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a unified framework for understanding and addressing metastable failures in large-scale distributed systems. The research establishes formal models and empirical foundations explaining how feedback loops among system components create self-sustaining cycles of persistent...
- The National Science Foundation Division of Computer and Network Systems awarded Purdue University $326,628 for a CAREER project on distributed large-scale machine learning with security guarantees, effective July 1, 2026 through June 30, 2031, under the Computer and Information Science and Engineering program (CFDA 47.070). The research develops verification mechanisms and tools enabling secure, distributed machine learning development across networks of volunteer organizations and...
- This three-year, $600,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development of causal reasoning techniques to optimize network performance and answer "what-if" questions about potential network design changes using passively collected data. The grant recipient, Purdue University, will develop causal dependency graphs for...
- The National Science Foundation Division of Information and Intelligent Systems awarded Purdue University $391,123 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop underapproximate refinement types for program exploration and understanding. The project addresses verification and understanding of code generated by large language models, which often contains subtle defects inconsistent with developer intent. The work develops...
- Purdue University was awarded a $496,450 Project Grant from the National Science Foundation Division of Computer and Network Systems from January 1, 2022 to December 31, 2024. The grant supports research titled "CNS CORE: SMALL: AUTOMATED TESTING FOR DATA- AND COMPUTE-INTENSIVE DISTRIBUTED SYSTEMS THROUGH FEEDBACK-BASED FUZZING" under the Computer and Information Science and Engineering program (CFDA #47.070). This program aims to advance computing, communications, and information...
- The National Science Foundation Division of Computing and Communication Foundations awarded Purdue University $357,921 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop algorithmic advances in structure-aware machine learning. The research addresses computational efficiency, reliability, and data governance in modern artificial intelligence systems by studying how the structure of training data shapes the behavior of learning systems....
- The National Science Foundation Division of Information and Intelligent Systems awarded Purdue University $866,530 on September 1, 2026, for a four-year project grant under the Computer and Information Science and Engineering program (CFDA 47.070). The project develops foundations and applications of type-based under-approximate reasoning to provide assurance arguments about program correctness, with emphasis on validating code generated by AI-driven software tools. The work integrates over- and...
The National Science Foundation Division of Information and Intelligent Systems awarded Purdue University $306,221 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop causality-driven mitigation of cascading failures in distributed cloud systems. The project addresses positive feedback loops—self-reinforcing chain reactions that propagate failures across cloud infrastructure and knock services offline at scale. The work comprises four technical thrusts: architecture analysis to expose and break intrinsic positive feedback loops embedded in distributed system designs through generic causal loop prevention; advanced testing techniques that combine failure propagations across fault injection experiments to uncover accidental loops; runtime defenses applying causal inference to detect and control emerging loops; and interventional debugging techniques for safe online diagnosis of runaway loops in production systems. The project adopts a white-box approach grounded in causality analysis, contrasting with existing black-box defenses such as rate limiting and circuit breaking that cannot reach loops originating inside systems. The award funds research that will improve reliability and resilience of cloud computing infrastructure underlying healthcare, finance, education, transportation, and communication services. Performance occurs at Purdue University in West Lafayette, Indiana through August 31, 2031. This is a CAREER Project Grant, a class of NSF award supporting faculty research and education integration.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $306.2k | 7/27/26 |