Summer 2024 REU Opportunities Application Open

December 18, 2023

Applications Due: February 26, 2024


  • Undergraduate students majoring in a Science, Technology, Engineering and/or Mathematics (STEM) disciplines
  • US citizens or permanent residents
  • Undergraduates in good academic standing


Project Descriptions

North Carolina A&T, Greensboro, North Carolina

Processors at the edge can experience physical faults from the environment (e.g., radiation, electromagnetic interference) or malicious actors (e.g., laser fault injection, glitching attacks). Due to computational complexity, understanding the vulnerability of a processor to physical faults remains a challenge, especially for artificial intelligence applications. In this project, students will construct a tiny machine learning (TinyML) system based on an ARM Cortex M-series microcontroller and emulate the injection of physical faults to determine vulnerable locations in hardware and software. (First years - Seniors; Dates: 6/1/2024 - 7/31/2024)

Host: Daniel Limbrick

Duke University, Durham, North Carolina

Interested in wireless sensing, radar, drones, and other robotic platforms? The cyber physical systems lab at Duke is looking for summer REU students to help out with research projects exploring wireless sensing using drone-mounted mm-wave radars and the security of automotive radars (commonly used in self-driving vehicles). Interested students will get hands on experience integrating commercial radars onto mobile platforms like drones and other ground vehicles, develop a deeper understanding of radar signal processing, assist in the development of cutting-edge deep-learning models for processing radar data, and participate in several real-world experiments! Please reach out if interested in joining our team for the summer!

Potential projects include:

  1. Running experiments on the unmanned aerial vehicles (UAVs) and unmanned ground vehicles to explore sensing applications on the mm-wave radars and lidars.
  2. Help with running and training different deep learning models for mm-wave radar sensing projects
  3. Assisting with physical experiments assessing the security of automotive radars.
    ( ) (First years - Seniors; Dates: 6/3/2024 - 8/2/2024)

Host: Miroslav Pajic

Yale University, New Haven, Connecticut

We are using brain-inspired machine learning techniques to develop better memory management of disaggregated memory systems. (Juniors/Seniors; Dates: 6/1/2024 - 8/15/2024)

Host: Abhishek Bhattacharjee

University of Wisconsin-Madison, Madison, Wisconsin

Students will be working with the core project team towards further development of a collaborative XR system that can work with an edge platform to demonstrate functions such as indoor navigation in a collaborative way. Will work on integrating activities of multiple PIs (Suman and Bhuvana at Wisconsin) and will interact with other PIs at other institutions. (Sophomores – Seniors; Dates: 6/1/2024 - 8/31/2024)

Host: Suman Banerjee