Project Grant 2542372
- Federal Project Grant Award Summary Purdue University received a $357,921 CAREER (FacultyearlyCareerDevelopment) Project Grant from the National Science Foundation's (NSF) Division of Computing and Communication Foundations (Computer and Information Science and Engineering program, CFDA 47.070) effective July 1, 2026 through June 30, 2031. The award funds research and algorithmic development focused on structure-aware machine learning, with the goal of creating more reliable, data-efficient, and...
- 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), effective September 1, 2026 through August 31, 2031. The project develops novel formal methods techniques and a trustworthy framework for software developers to rigorously explore, examine, and understand the behavior of potentially flawed...
- Federal 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 program, CFDA 47.070) effective June 1, 2026 through May 31, 2031. The project, titled "PTM-SEER: Software Engineering Foundations for Re-Using Pre-Trained Neural Models," addresses the engineering challenges associated with discovering, evaluating, adapting, and...
- Federal Project Grant Award Summary Purdue University received a $366,820 Computer and Information Science and Engineering (CISE, CFDA 47.070) Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, effective July 1, 2026 through June 30, 2031. This CAREER award supports the development of efficient and scalable neuro-symbolic cognitive computing platforms on three-dimensional integrated circuits and systems. The project delivers a co-design...
- 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 Award Details: This collaborative research project grant was awarded to Purdue University by the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program on October 1, 2025, with total funding of $333,333 and a completion date of September 30, 2028. Products and Services: The project delivers foundational theoretical research and educational activities focused on understanding...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $391,848 to Purdue University to develop holistic systems for securing the machine learning supply chain. The project aims to create tools to quantify trust in machine learning supply chains and verify security requirements across those supply chains. The research will also support the development of a diverse next generation of computer...
- Federal Grant Award Summary Purdue University received a $100,000 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049: Mathematical and Physical Sciences) effective September 1, 2025, with completion scheduled for August 31, 2026. The research project develops stochastic analysis and rough paths methods with applications to machine learning, focusing on advancing probabilistic models for cutting-edge artificial intelligence systems. The...
- Federal Project Grant Award Summary Carnegie Mellon University has been awarded $508,043 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), administered by the National Science Foundation's Division of Information and Intelligent Systems, with an award date of August 1, 2025, and a completion date of July 31, 2030. This CAREER award supports research on robust machine learning (ML) systems designed to defend against adversarial attacks and distribution...
- Federal Grant Award Summary Purdue University received a $660,000 project grant awarded by the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CFDA 47.070) program on July 15, 2025, with completion scheduled for June 30, 2028. The project delivers a suite of high-performance multi-stream foundation models and optimized algorithms designed to advance deep learning capabilities for complex multimodal tasks. Key...
Purdue University received a $326,628 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) CAREER award effective July 1, 2026, through June 30, 2031. This project, titled "Distributed Large-Scale Machine Learning with Security Guarantees," addresses critical vulnerabilities in decentralized artificial intelligence (AI) development by creating verification mechanisms and security tools that enable organizations and individuals to participate in distributed machine learning (ML) pipelines without compromising data privacy. The award funds research on verification techniques for distributed data pipelines, proof-of-learning methodologies, and computational attestation processes that allow sensitive data contributors to verify the legitimacy of their submissions while maintaining privacy guarantees. The work directly targets the democratization of large-scale ML development by mitigating dependency on centralized service providers and reducing barriers to entry for stakeholder communities. In addition to research activities, the project integrates educational and outreach components designed to develop workforce capabilities in AI security and vulnerabilities. Purdue will deliver educational programming that trains practitioners and stakeholder communities on the capabilities and limitations of AI tools, supporting broader national priorities in AI advancement and trustworthy systems development. The research outputs will produce open-source tools and practical frameworks for secure, distributed ML development that benefit both academic and industry practitioners while contributing to societal benefits through transparent and auditable AI development practices.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $326.6k | 3/26/26 |