Research in cognitive, high frequency, and advanced telecommuications

What is this program about?
This is a research experience for undergraduates program (REU) that is hosted by the Department of Electrical and Computer Engineering (ECE) at the University of Arizona. The students will be supported to travel to the University of Arizona, and work with faculty and graduate research mentors for a period of 10 weeks. Students will work closely in our laboratories with experienced researchers and will not only learn about the fascinating topics related to the important areas of advanced high frequency communications,   artificial intelligence, and other fields, but they also will master skills about how to develop new ideas,  set up systematic research, and analyze research results.  These are the skills that will turbo propel the students through the rest of their science and engineering future. Students who are selected to participate in this REU will receive a stipend, get on-campus housing during the program, and are provided assistance with travel cost.  The NSF requires that all REU students be citizens or permanent residents of the united states or its possessions.

What research topics are available in this program?
This REU provides projects related to high frequency and wireless communications, artificial intelligence, machine learning, networking,  data mining, security, distributed communication and computing, software engineering, signal processing, software defined  and cognitive radio, antenna design, hardware and circuit design, and mode.  This is an excellent opportunity to get introduced to, and develop research skills in one of these exciting topics while working with a set of like-minded motivated cohorts, interacting with top faculty and researchers in the field in a supportive environment. 

How you can participate and what background is needed?
Motivated students with a good background in anyone or more of electrical engineering, computer science, computer engineering, mathematics, or physics would have ideal background to participate in the projects. There is a wide array of projects, therefore even math and physics students who are non-engineers can possibly participate in the projects. The variety of projects goes from artificial intelligence and machine learning to communications, hardware, and beyond. If you are a good undergraduate student with a background in one of the above majors and motivated to learn and do research, we would like you to apply.