Deadline to Apply: 12/31/2019

Parallel System and Computing Laboratory (PSCLab) has openings for 2-4 undergraduate students to participate in a Research Experiences for Undergraduates (REU) program funded by the National Science Foundation. In this project, the student participants will learn the concept of data-driven compressive sensing and implement the state-of-the-art model-based and data-driven compressive sensing reconstruction algorithms using Pytorch and Matlab. The objective of the project is to build a unified testing framework to facilitate the result reproduction and quantitative evaluation of existing compressive sensing approaches. The project period covers Spring and Fall 2020 (Summer is optional). The student participants are expected to work at least for one semester, and preferably for both Spring and Fall 2020 semesters. Each student participant will receive a monthly stipend paid at a weekly rate of $200 and is expected to work 12-15 hours per week.  

Minimum Qualifications:

Preferred Qualifications:

​​To Apply​ ​

— Posted on June 11th, 2016

Internet-of-things (IoT) devices and applications are becoming increasingly pervasive and far-reaching in our daily lives. IoT devices allow objects to be sensed, monitored, controlled, and actuated remotely across existing network infrastructure, creating opportunities for more direct integration of the physical and digital worlds, and resulting in improved efficiency, performance, economic and societal benefits for a wide range of potential applications.

The goal of this project to develop IoT devices and applications to fulfill the unmet needs of pet care industry. According to statistics from the American Pet Products Association, spending on pet products in U.S. has steadily grown by 23%, hitting an estimated $62.75 billion in 2016, where $21.26 billion will be spent on pet food. However, many pets seem to get excessive pampering rather than proper care from their owners. Statistics from the Association for Pet Obesity Prevention show that over 50% of dogs and cats in the U.S. are overweight or obese. The main cause of this is overfeeding due to the loose track of pet weight and food intake.  In this project, we will design an IoT-based interactive pet feeder solution to solve this problem. The developed solution should not only track and analyze the necessary information to keep pets healthy but also promote owner engagement through the Internet. Other ideas that can facilitate the pet owners to provide better cares to keep their pets healthy out of their busy schedule are also welcomed. 

This project could be suitable for honors thesis/creative project. Students will be encouraged to apply for funding support through the FURI program. Students are expected to work 15-20 hours per week, and the project could potentially be extended for multiple semesters.

Students will learn about how to take advantage of existing IoT hardware platforms and software libraries to quickly prototype powerful system stacks in this project. Students with backgrounds in embedded systems and basic familiarity with any programming language (C#/Java/Python/etc.) are highly encouraged to apply. Interested students should contact Dr. Fengbo Ren via Email: renfengbo@asu.edu with their CV and unofficial transcripts.

Fulton Undergraduate Research Initiative (FURI) is an exciting program that offers funded research opportunities to undergraduate students in the Ira A. Fulton Schools of Engineering.

I plan to take on 2-3 FURI students each year. If you are interested in gaining me as your mentor to conduct research or develop experience in FPGA, embedded system, and hardware design, email me your resume and unofficial transcript for a discussion.

• Note that the time windows for submitting a FURI proposal are in March and October, so you should plan ahead and talk to me at the beginning the the semester. 
• Make sure you actually have the time to do research before you contact me for a discussion. You should be available for at least 1 semester during which you are not (over)loaded with classes.
• Students who have completed CSE320, CSE325, or Embedded Systems related courses are preferred.

For more information about the FURI program, please visit https://engineering.asu.edu/furi.

We do not offer undergraduate internships. Do undergraduate research at your institution and apply to ASU graduate programs.