The major goal of this "Shared High Performance Data Center" (NSF CNS-1305302) is to utilize the NSF CISE Computing Research Infrastructure Program to support the rapid growth in research and education activities that the Department of Computer Science at Texas State is experiencing. Specifically, we are designing an infrastructure to support computing and research efforts focusing on the processing and management of large volumes of data, and the development of data sets for integration into classes, research projects, and dissemination to the research and education communities. Furthermore, the developing infrastructure is designed to specifically meet the goals of the planned research projects , which are to serve as a component of the department's general computing infrastructure available to faculty, students, and researchers in other departments engaged in interdisciplinary research and education activities with the Computer Science faculty.
The developing infrastructure also presents many educational opportunities for undergraduate and graduate students at Texas State and REU participating students to gain valuable research experiences. In the past years, many graduate and undergraduate students were supported by this "Shared High Performance Data Center" to conduct advanced research on their projects. In addition, our department holds NSF REU program "REUIOT: Multidisciplinary Research Experiences for Undergraduates in Internet of Things". More than twenty REU students in REUIOT program have involved in the research on the challenging problems in the area of Internet of Thing. The developing infrastructure makes possible research efforts that are unique and compelling; therefore, students who utilize the infrastructure for their research projects have quality research experiences made possible.
Research Assistant positions are available.
We are looking for self-motivated students. If you are currently a student at Texas State University and would like to discuss potential research projects with us, please find the project you are interested in and the leading professor and send her/him email.