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Research Experiences for Undergraduates (REU) - Cybersecurity, Robotics, and Software Engineering

Research Experiences for Undergraduates (REU)

Cybersecurity, Robotics, and Software Engineering


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May 28, 2015 – August 5, 2015

This research project is supported by the National Science Foundation through a grant to the Department of Industrial Engineering and the Department of Computer Science at Texas Tech University in Lubbock, Texas. The site is co-funded by the Department of Defense in partnership with the NSF REU program. The research project consists of a 10−week program where students will work collaboratively on cybersecurity, robotics, and software engineering research issues. The selected participants will work closely with faculty members on their current research projects, make short progress presentations to their peers during program meetings, attend presentation skills workshops, make a formal poster presentation of their research experience at the end of the program, submit a written & final report describing the results of their research, and work with faculty and graduate students to publish research results. In addition to research activities, students are provided professional development opportunities that address issues ranging from literature search tools, ethics and professionalism, presentation skills, technical writing skills, and the graduate school application process, with numerous opportunities for social activities. The outcome of the research experience is expected to instill in students the methods and desires to continue with graduate research through mentoring that guides the students towards becoming independent researchers in a welcoming and enriching environment.

Students are expected to work at least 40 hours per week during the 10−week session and may not enroll in additional academic courses during the summer sessions.

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Cybersecurity, Robotics, and Software Engineering

The undergraduate student research will be in topics that address cybersecurity, software engineering, big data, data intensive computing, image processing, and pattern recognition (robotics is not longer supported). Specific areas include security in the SmartGrid, software specification for cybersecurity, secure software engineering, big data storage and access techniques, big data use in cybersecurity, high-performance and cloud computing, LiDAR sensors, and machine learning. Modeling uncertainty is a common theme in several of the research topics, with application areas that include the Smart Grid, surveillance, reconnaissance, agriculture, climate forecasting, and irrigation management.


Each participant will receive: a stipend of $5,000, university residential housing and meal plan, and up to $600 to cover travel expenses to and from Lubbock.


DISCLAIMER: This material is based upon work supported by the National Science Foundation and the Department of Defense under Grant No. CNS-1263183, CNS-1005212, & CNS-0939088. An opinions, findings, and conclusions or recommendation expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the Department of Defense.