in Ubiquitous Sensing
May 30 to August 5, 2022
Research Experience for Undergraduates is a program funded by the National Science Foundation with the goal of supporting active research participation by undergraduate students. During these programs, students will be paired with a mentor and be exposed to the research process. The Computer Science and Engineering department of the University of South Florida hosts this program every summer in the field of Ubiquitous Sensing.
The summer REU site on Ubiquitous Sensing in the Computer Science and Engineering Department at the University of South Florida (USF) will run a 10-week program from May 30, 2022, to August 5, 2022, on the USF Tampa campus. We are welcome applications from students with diverse backgrounds in computer science, computer engineering, electrical engineering, mechanical engineering, mathematics, physics, or any related majors. REU participants must be undergraduate students and US citizens or legal permanent residents of the United States or its possessions; must be and remain undergraduate students. The application link is at https://usf.az1.qualtrics.com/jfe/form/SV_b8CTZD2pxv9nUr4.
The application deadline is March 15. We will start the selection process right after the deadline. The applicants will expect to receive letters of acceptance at the end of March and the beginning of April. We will help the accepted student to make travel arrangements. The REU students will receive $8,000 to $9,000 stipends to cover travel costs and living expenses. We will also assist eligible applicants in applying for an additional $10,000 from the Last Mile Fellowship to Broaden Computing program.
The summer REU program includes a strong research component combined with professional development opportunities for the participating undergraduate students from across the nation. Students will have the opportunity to explore research topics related to ubiquitous sensing, including sensors for intelligent systems, AI algorithms to process the sensor readings, deep learning algorithms to analyze a large set of sensor data, and reinforcement learning for using sensor data for real-time decision making. Students will learn to use various techniques, including sensors, signal processing, AI, deep learning, reinforcement learning, computer vision, IoT, robotics, etc. The summer REU program will start with a sequence of workshops and social activities. Students will then work on their research projects with their faculty and graduate student mentors. The students will continue participating in several social and academic activities meant to give them important information regarding their future careers and the tools needed to complete their REU experience successfully. The students will finish the 10-week program with end-of-program presentations.