Project Grant 2548912
- The National Science Foundation Division of Information and Intelligent Systems awarded Arizona State University $300,034 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to support the FACTORY-AI collaborative research project. FACTORY-AI designs intelligent models and infrastructure to enable smart manufacturing through integrated sensing, communication, and computing. The project transforms multimodal sensor streams into semantic control...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Clemson University $551,585 on September 1, 2026, under the NSF Engineering program (CFDA 47.041) to conduct research on wireless communication foundations for swarm artificial intelligence. The project establishes a semantic-centric wireless architecture that prioritizes the meaning and task relevance of transmitted information over raw bit accuracy, enabling distributed agents to share...
- The National Science Foundation Division of Computing and Communication Foundations awarded Clemson University $600,000 under the Computer and Information Science and Engineering program (CFDA 47.070) on October 1, 2026. The project develops computational methods for AI systems to coordinate with humans in safety-critical shared-autonomy environments where humans must interpret AI recommendations and take action within seconds. The work addresses the mismatch between current AI systems, which...
- The National Science Foundation Division of Computer and Network Systems awarded Arizona State University $400,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop closed-loop digital twins that enable adaptive human-AI collaboration in manufacturing cyber-physical systems. The project addresses brittle, reactive artificial intelligence systems in modern manufacturing by creating intelligent models that monitor task execution in real...
- The National Science Foundation Division of Computing and Communication Foundations awarded Clemson University $417,473 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for a CAREER project developing an algorithmic framework to improve the efficiency, adaptability, and scalability of modern deep learning systems. The project runs through June 30, 2031, with performance at Clemson, South Carolina. The funded work addresses computational barriers...
- Clemson University received a $140,000 project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070) for the period of June 1, 2021 through May 31, 2024. The grant funds collaborative research to enable high performance multi-scale simulation on big memory platforms. Specifically, the award supports investigator-initiated efforts to advance the development and use of research...
- The National Science Foundation Division of Computing and Communication Foundations awarded Clemson University $368,275 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop automated, robust, and adaptive feature engineering technologies that preprocess raw data for machine learning applications. The research will establish an operator-centric feature engineering paradigm using multi-agent reinforcement learning to unify feature generation,...
- The National Science Foundation Division of Graduate Education awarded Clemson University $250,000 on September 1, 2026, for collaborative research under the STEM Education program (CFDA 47.076) to develop an AI agent-centered cybersecurity education framework. The project, running through August 31, 2029, will create curriculum modules, hands-on laboratories, and project-based learning activities that train students to understand both the benefits and security challenges of artificial...
- The National Science Foundation Division of Graduate Education awarded Clemson University $225,428 on August 15, 2026, under the STEM Education program (CFDA 47.076) to develop adoptable educational materials for AI auditing competency in undergraduate and graduate computing programs. Clemson will create a theory-guided education package consisting of six modular curriculum units covering AI auditing frameworks, model assessment, and continuous model auditing. The deliverables include hands-on...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program award of $122,705 to Clemson University provides funding to develop novel approaches for federated on-device intelligence in Internet of Things (IoT) systems. The project focuses on two key challenges: (1) enabling federated knowledge sharing among resource-constrained and heterogeneous IoT devices without requiring private data, and (2) enabling federated domain adaptation with...
The National Science Foundation Division of Information and Intelligent Systems awarded Clemson University $374,300 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to support collaborative research on Factory-AI, an AI-native industrial Internet of Things platform for smart manufacturing. Clemson serves as a sub-recipient partner to Arizona State University on the three-thrust Factory-AI initiative. Thrust 1 transforms multimodal sensing streams into semantic control tokens through a large language model that captures operational intent in smart factories, establishing a perception-learning-reflex loop. Thrust 2 supports open radio access network edge intelligence to generate workloads that optimize communication and computing resources within the system. Thrust 3 designs and manages 3D heterogeneous-integrated compute-in-memory infrastructure to execute those workloads efficiently. The Factory-AI solution is tested on the PROTON testbed, a 2,000 wireless-node industrial IoT testbed at Arizona State University, complemented by the NSF-funded DISCOVER platform. The overall system enables robot coordination, machine monitoring, product inspection, and safer automated operations by sensing conditions, understanding what requires attention, and adjusting communication and computing resources in real time, particularly under crowded wireless signal conditions or changing environmental circumstances. Performance occurs in Clemson, South Carolina. The period of performance extends from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $374.3k | 7/31/26 |