Purdue University was awarded a $300,000 Project Grant from the National Science Foundation to develop an open-source ecosystem around proactive software supply chain monitoring. Funded through the NSF Technology, Innovation, and Partnerships program (CFDA 47.084), this 12-month project aims to engage stakeholders in emerging applications like artificial intelligence, internet of things, and critical infrastructure to build a sustainable community focused on providing usable security...
This $550,000 award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of a hybrid, scalable data management system to improve access to scientific knowledge in data science. The project aims to create an intelligent, user-friendly interface that can extract, organize, and provide deep access to relevant concepts from peer-reviewed scientific literature. Key objectives include: Building a comprehensive knowledge...
The National Science Foundation (NSF) awarded a $1,499,735 Cooperative Agreement under its Technology, Innovation, and Partnerships directorate's CFDA program 47.084. The award will fund the "SAWGRAPH" project, which aims to build and test a knowledge graph tool to monitor and trace per- and polyfluoroalkyl substances (PFAS) in the nation's food and water systems. The project, led by the University of Maine System, will integrate datasets on PFAS contamination sites, sample testing...
This $311,482 federal Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop a principled methodology for trusted software patching. The key objectives are to: Develop differential binary-analysis techniques to assess the security enhancements and potential side effects of software patches, especially in scenarios where the original source code is unavailable. Create reliable...
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...
This National Science Foundation (NSF) Cooperative Agreement award under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,932,818 to Insilicom LLC, a woman-owned, minority-owned small business, to develop an enhanced knowledge graph focused on technology-related entities and their relationships. The project aims to leverage natural language processing and predictive modeling to extract information from diverse text sources, including PubMed abstracts, patents,...
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...
This $1,168,047 Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a deeper understanding of the complex problems and needs that drive technology innovation. The project involves: Collecting comprehensive datasets on technical problems, solutions, and organizations across three selected domains; 2) Applying AI/machine learning techniques to analyze this data and identify predictive...
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...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $402,777.00 to Purdue University to advance the understanding of limitations of large language models (LLMs) in program generation and develop methods to enhance the correctness, safety, and robustness of LLM-generated code. The project aims to conduct in-depth analysis of program generation errors made by various LLMs, develop root cause analysis...