REPRESENTATIVE PROJECTS

• Naive Bayes Classification in Computational Linguistics
• Design and Implementation of a Student Intranet
• Evaluation and Comparison of Real-time Network Latency
• Machine Learning, Parallel Programming, Computer Vision
• Optimizing Pherome Modification for Dynamic Ant Algorithims
• Analysis and Presentation of Signal Jamming Effectiveness
• Math Edutainment Software for Girls Grades 1-6
• Achieving Realism in 3D Computer Graphics
  

SPECIALIZED
EQUIPMENT

Cray SV1 Vector Processing Computer

Sun SPARC Enterprise M4000 server

Quad Core with CUDA GPU

Gigabit Network, CISCO 4500 switch

I 7 16 Node Cluster with Infiniband Network

CONTRIBUTORS

Cray

Northrop Grumman

Sun Microsystems

UUNet

Computer Systems

Focus:

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, FORTRAN, Lisp, and MASON (Multi-Agent Simulator of Neighborhoods).