Project Grant 2521510
- This $600,000 Project Grant award from the National Science Foundation's Division of Computer and Network Systems will support Purdue University's research to enable real-time, high-bandwidth network traffic analysis using machine learning on programmable switches. The project aims to develop novel methods for efficiently mapping popular ML models like decision trees and neural networks onto programmable switch hardware, as well as new switch primitives for computing flow statistics. This will...
- This CAREER award of $369,693 from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) supports a five-year research initiative (October 1, 2025 – September 30, 2030) at Virginia Polytechnic Institute & State University to develop an advanced cybersecurity defense framework leveraging large language models (LLMs). The project addresses critical vulnerabilities in current threat detection...
- Federal Grant Award Summary The National Science Foundation's Division of Computer and Network Systems awarded a five-year CAREER project grant of $467,622 to the University of California, Irvine, effective October 1, 2025, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This award supports the development of novel explainability tools and techniques to enable effective human-AI collaboration in the design and deployment of learning-based network...
- This $659,678 NSF CAREER (Faculty Early Career Development) award, funded through the Engineering program (CFDA 47.041) and administered by the Division of Electrical, Communications and Cyber Systems, supports a five-year project (April 1, 2026 – March 31, 2031) at MIT to develop foundational technologies for trustworthy learning-enabled autonomous systems. The primary deliverables include new mathematical theory and efficient algorithms for constraint-satisfying learning, uncertainty-aware...
- This $300,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the University of California, Santa Cruz (UCSC) on developing consolidated data plane management tools for network functions (NFs). The project aims to design efficient algorithms and data structures to automatically manage the deployment and resource usage of multiple co-existing NFs, which are crucial for managing...
- This National Science Foundation (NSF) award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $500,000.00 to the University of Nebraska to develop an intelligent real-time traffic analysis framework and application-aware networking capabilities. The objectives are to: Integrate online-offline machine learning approaches for real-time network traffic analysis and prediction. Implement scalable techniques for analyzing Internet-scale network flow data in...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $299,686 will fund the University of Connecticut (UConn) to design efficient tools that automatically manage the algorithm design, deployment and resource management of multiple co-existing network functions (NFs) through a new concept called consolidated data planes. Key objectives include: Developing an automatic tool to construct consolidated data plane...
- The National Science Foundation (NSF) awarded Carnegie Mellon University a $647,613 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to fund the "YINZERNET: A MULTI-SITE DATA AND AI DRIVEN RESEARCH NETWORK" project. This award will support the development of a high-performance networking infrastructure that eliminates data movement and computing bottlenecks, enhancing interdisciplinary research collaborations between the University...
- Federal Project Grant Award Summary Wayne State University received a $357,954 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective May 1, 2026 through April 30, 2031. This CAREER award supports research on in-network graphics processing unit (GPU) integration for vision-inspired generative inference, which aims to embed high-performance computing...
- This Project Grant award of $285,694, provided by the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083), aims to develop a safe online hierarchical learning framework for Open Radio Access Network (O-RAN) mobile networks. The key goals are to enable online resource allocation at near-real-time RICs using safe deep reinforcement learning, and online service orchestration at non-real-time RICs through robust Bayesian learning. Additionally, the project will...
CAREER: A PLATFORM FOR PER-PACKET AI USING HETEROGENEOUS DATA PLANES -MODERN CYBERINFRASTRUCTURE (CI) POWERS MANY ASPECTS OF OUR DAY-TO-DAY LIFE (SUCH AS HEALTHCARE, FINANCE, ELECTRICITY, AND COMMUNICATION). AND, MOVING FORWARD, OUR RELIANCE ON THIS INFRASTRUCTURE WILL GROW EVEN MORE AS NEW USE CASES (E.G., AUGMENTED/VIRTUAL REALITY, AUTONOMOUS TRANSPORTATION, AND REMOTE SURGERY) AND USERS (E.G., SELF-DRIVING CARS AND IOT DEVICES) ENTER THE TECHNOLOGICAL LANDSCAPE. TO MEET THE STRICT SECURITY AND PERFORMANCE REQUIREMENTS OF THIS EVOLVING LANDSCAPE, THE CLOUD DATACENTER NETWORKS AND SYSTEMS, WHICH FORM THE BACKBONE OF CI, MUST ADAPT AND ALLOCATE THEIR (HETEROGENEOUS) RESOURCES QUICKLY AND EFFICIENTLY. DOING SO, HOWEVER, DEMANDS THAT (COMPUTE-INTENSIVE) NETWORK MANAGEMENT AND CONTROL DECISIONS ARE APPLIED PER PACKET AT LINE RATE IN A FAST-AND-INTELLIGENT WAY. UNFORTUNATELY, THE DOMINANT SOLUTIONS AVAILABLE TODAY ARE NEITHER FAST NOR INTELLIGENT ENOUGH TO MEET THESE REQUIREMENTS. THIS PROPOSAL AIMS TO BRIDGE THIS GAP BETWEEN SPEED AND INTELLIGENCE BY DEVELOPING A HOLISTIC PLATFORM THAT ALLOWS DATACENTER OPERATORS TO EXECUTE PER-PACKET AI-DRIVEN DECISIONS DIRECTLY WITHIN THE NETWORK AT LINE RATE. THE PROPOSAL LAYS OUT THE RESEARCH ACROSS THREE PROGRESSIVELY CONNECTED THRUSTS: (1) DESIGNING NOVEL DATA-PLANE ARCHITECTURES FOR PER-PACKET AI, (2) IMPLEMENTING HIGH-LEVEL, DECLARATIVE FRAMEWORKS FOR EXPRESSING AI OBJECTIVES (AND MODELS), AND, FINALLY, (3) DEVELOPING A SUITE OF PER-PACKET AI APPLICATIONS TO BUILD CONFIDENCE IN THE UTILITY OF THE PROPOSED PLATFORM. IT IS A RADICALLY NEW PARADIGM THAT CONVERGES MULTIPLE DISCIPLINES (MACHINE LEARNING, NETWORKING, AND ARCHITECTURE), THUS OPENING PATHWAYS FOR MACHINE-LEARNING RESEARCHERS AND ARCHITECTS?WITH THEIR CROSS-DISCIPLINARY KNOWLEDGE?TO WORK ALONGSIDE NETWORK DESIGNERS TO REALIZE THE FULL POTENTIAL OF PER-PACKET AI. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $220.2k | 9/4/25 | ||
| Not listed | $96.9k | 7/1/25 | ||
| Not listed | $113.8k | 5/15/25 |