# REU Site: Undergraduate Research Experience in Edge Intelligence

> **NSF 01002627DB NSF RESEARCH & RELATED ACTIVIT** · Board of Regents, NSHE, obo University of Nevada, Reno (NV) · $464,400

## Abstract

This project establishes a Research Experiences for Undergraduates (REU) site at the University of Nevada, Reno, to provide undergraduate students nationwide with immersive research experiences in the field of edge intelligence. Edge intelligence, where data collection, processing, and analysis are performed close to the data source rather than on centralized cloud-based systems, is a rapidly advancing paradigm critical for applications such as autonomous vehicles, smart cities, industrial automation, and healthcare systems. However, deploying artificial intelligence (AI) on resource-limited edge devices presents substantial challenges in accuracy, efficiency, and robustness, with significant implications for public health, national security, and economic competitiveness. By engaging students in hands-on research and equipping them with the skills to address these challenges, this project aims to develop a highly skilled STEM workforce capable of advancing practical AI technologies. The program will foster sustained interest in research and encourage participants to pursue graduate studies and careers in STEM. Through the development of accurate, efficient, and trustworthy AI systems, the project will contribute to technological innovation, strengthen public trust in AI, and support societal well-being and national security.

This REU site develops undergraduate research capacity in edge intelligence by leveraging the interdisciplinary expertise of University of Nevada, Reno faculty in AI, robotics, and cyber-physical systems. The research is structured around three core thrusts in edge-based machine learning (ML) systems: (1) algorithms and architectures for resource-constrained devices, (2) scalable and robust learning in heterogeneous edge environments, and (3) resource management for energy-efficient and sustainable operation. Representative projects include accelerating federated learning in heterogeneous wireless networks, developing memory-efficient trainin

## Key facts

- **NSF award ID:** 2548395
- **Awardee organization:** Board of Regents, NSHE, obo University of Nevada, Reno (NV)
- **SAM.gov UEI:** WLDGTNCFFJZ3
- **PI:** Rui Hu
- **Primary program:** 01002627DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** Artificial Intelligence (AI), EXP PROG TO STIM COMP RES, GRADUATE INVOLVEMENT, REU SITE-Res Exp for Ugrd Site
- **Estimated total:** $464,400
- **Funds obligated:** $464,400
- **Transaction type:** Standard Grant
- **Period:** 10/01/2026 → 09/30/2029

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2548395

## Citation

> US National Science Foundation, Award 2548395, REU Site: Undergraduate Research Experience in Edge Intelligence. Retrieved via AI Analytics 2026-07-19 from https://api.ai-analytics.org/grant/nsf/2548395. Licensed CC0.

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