EAGER: NAIRR Pilot Expansion: FA1: RUI: Bridging the Gap: Coalescing Research into Educational Labs for the Application of Machine Learning Methodologies to Cybersecurity Threats

NSF Award Search · 01002526DB NSF RESEARCH & RELATED ACTIVIT · $300,000 · view on nsf.gov ↗

Abstract

This project strengthens national cybersecurity and artificial intelligence education efforts by building a comprehensive collection of hands-on labs that simulate real-world security challenges through cloud-based virtual environments. These labs are hosted through the National Artificial Intelligence Research Resource (NAIRR) platform to remove common technical barriers that limit lab usage in many classrooms. The labs are designed to integrate into cybersecurity, data science, and broader computing programs, while also offering on-ramps for non-computing students seeking digital fluency. The project’s engagement with AI technologies and threat analysis scenarios contributes to the nation’s workforce readiness and skill development in fields critical to national security and economic competitiveness. The project uses the containerization framework and virtual machines hosted on public cloud platforms to simulate research-grade cybersecurity scenarios derived from academic papers and/or real-world use cases. Each lab walks students through the full AI lifecycle, including data generation, preprocessing, feature engineering, model training, validation, and deployment. The environment integrated with NAIRR allows labs to run on GPU-enabled cloud servers for accelerated training and reproducibility. The modular and adaptable curriculum supports integration into various computing environments, course levels, and institutional types. Labs include, but are not limited to, topic

Key facts

NSF award ID
2515085
Awardee
Regents of the University of Michigan - Flint (MI)
SAM.gov UEI
L8QSLB2KCRE5
PI
Suleyman Uludag
Primary program
01002526DB NSF RESEARCH & RELATED ACTIVIT
All programs
EAGER
Estimated total
$300,000
Funds obligated
$300,000
Transaction type
Standard Grant
Period
09/01/2025 → 08/31/2027