Intelligent Systems Research

boorishadamantΤεχνίτη Νοημοσύνη και Ρομποτική

29 Οκτ 2013 (πριν από 4 χρόνια και 11 μέρες)

82 εμφανίσεις

Intelligent

Systems

Group


Emmanuel Fernandez

Larry Mazlack

Ali Minai (coordinator)

Carla Purdy

William Wee

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.

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.

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