Home > Research & Academics > Research Labs > Computer Systems
Computer Systems Lab
Directors |
Dr. Peter Gabor, Dr. Shane Torbert, Dr. John Zacharias |
Founded |
1986 |
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The Computer Systems Laboratory supports studies in theoretical and applied computational science, computer modeling, computer architecture, artificial intelligence, machine learning, natural language processing and supercomputing. Working in a UNIX environment, students are able to investigate a wide range of pure and applied research topics utilizing a variety of computer languages and styles. Projects fall within a broad spectrum of computer science areas spanning computer graphics, artificial intelligence, computer vision, high performance computing, collaborative opensource development, and grid/distributed computing. Computational science applications address areas such as computational linguistics, agent based modeling of complex systems including social complexity, software design, and theoretical algorithmic development of ideas as varied as tree data structures to ant colony search optimization. The Computer Systems Laboratory emphasizes a multilingual computer language community, featuring C/C++, Java, Python, Ruby, XML, PHP, Perl, MySQL, JavaScript, Tk, OpenGL, and MASON (Multi-Agent Simulator of Neighborhoods).
Naive Bayes Classification in Computational Linguistics
