1. Intelligent Systems Group Emmanuel Fernandez Larry Mazlack Ali Minai (coordinator) Carla Purdy William Wee

2. Faculty Research Interests Emmanuel Fernandez Stochastic models, stochastic decision & control processes, intelligent/adaptive algorithms, information technology. Larry Mazlack Intelligent databases and information structures, fuzzy systems, data mining, hybrid intelligent systems. Ali Minai Self-organizing systems, computational biology, neural network models of cognition, artificial life, sensor networks. Carla Purdy Intelligent sensor data processing, hybrid intelligent systems, computational biology. William Wee Intelligent signal/image processing, analysis and understanding.

3. Research Areas Data mining. Sensor networks. Neural networks. Evolutionary algorithms. Distributed intelligence. Adaptive decision and control. Data and sensor fusion. Search and optimization. Hybrid intelligent systems. Intelligent databases and information structures. Complex adaptive systems. Biologically-inspired systems. Bioinformatics and computational biology. Intelligent signal/image processing, analysis and understanding.

4. Course Requirements All students must satisfy degree program course requirements. M.S. Students must take at least 3 and Ph.D. students at least 4 of: EECE 636 Intelligent Systems EECE 638 Nonlinear and Intelligent Systems EECE 642 Digital Image Processing EECE 716 Semantic Web EECE 728 Information Theory EECE 741 Stochastic Decision and Control EECE 785 Special topics in Intelligent Knowledge Representation EECE 841 Advanced Decision Processes EECE 844 Probability and Algorithms EECE 854 Complex Systems EECE 858 Data Mining EECE 867 Biomorphic Systems EECE 875 Robust Adaptive Control EECE 986 Advanced Computer Vision CS 621, 624 Mathematical Logic I and II CS 633, 634 Artificial Intelligence I and II CS 637 Machine Learning CS 724 Logic in AI CS 731 Distributed AI CS 786 Computational Genomics CS 821 Pattern Recognition