About the Center for Advanced Intelligent Systems
Overview
The Center for Advanced Intelligent Systems is an interdisciplinary laboratory in the Computer Science Department at Texas Tech University. Academic and Research Excellence is our flagship goal, critical to the success of the Center for Advanced Intelligent Systems. Other primary goals of the Center are Access and Diversity, Partnerships, and Resources and Infrastructure. CAIS brings together faculty, researchers, and students in research, development and experimentation in five major areas of computer science with an emphasis on solving interdisciplinary problems.
Dr. Daniel Cooke is the Center Director.
Research
The Laboratory's current research falls into four principal domains: Data Understanding, Human-Centered Computing, Computational Mechanics and Materials, and Declarative Languages.
Data Understanding
Interdisciplinary research concerning novel and revolutionary approaches to data and knowledge representation, finding causal links, and mining of large databases containing macro and micro data.
Human-Centered Computing
Interdisciplinary research concerning novel and revolutionary approaches to the seamless interaction of dry and wet intelligent agents.
High Performance Computing
Interdisciplinary research concerning novel and revolutionary approaches to the development of parallel codes.
Declarative Languages
Interdisciplinary research concerning novel and revolutionary approaches to intuitive abstractions for the construction of symbolic and numerical computations.
Software Engineering
Interdisciplinary research concerning the impact of software architecture, classifications of software, and technology transfer considerations on the process of software development.