Artificial Intelligence, Intelligent Systems, Machine Learning, Natural Language Processing

Theodora Chaspari

Assistant Professor

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Yoonsuck Choe

Professor

(Brain Networks Lab, Neural Intelligence Lab, Multi-scale modeling of mouse brain networks project, Topographica cortical map simulator project)

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Ricardo Gutierrez-Osuna

Professor

(Intelligent sensors, speech processing, face recognition, machine olfaction, neuromorphic computation, mobile robotics, pattern recognition, machine learning)

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Tracy Hammond

Professor

(Sketch recognition, gesture recognition, haptics, hand-tracking, artificial intelligence, human computer interfaces)

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Xia "Ben" Hu

Assistant Professor

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Ruihong Huang

Assistant Professor

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Thomas Ioerger

Associate Professor

(Artificial intelligence, machine learning, intelligent agents, bioinformatics)

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Andruid Kerne

Professor

(Human-centered computing, HCI, multitouch interaction, sensory interfaces, intelligent user interfaces, gesture recognition, creativity support tools, information visualization. | Serious games, wearable computing, body sensor networks, intelligent sensory devices, ubiquitous computing, social computing, multimedia)

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Dylan Shell

Associate Professor

(Distributed AI, biologically-inspired multi-robot systems, coordinated system, analysis of multi-agent systems, crowd modeling)

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Dezhen Song

Professor

(Networked robotics, computer vision, multimedia, autonomous vehicle, optimization, automation)

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Zhangyang (Atlas) Wang

Assistant Professor

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Nick Duffield (Courtesy Appointment)

Professor

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Courses Offered

CSCE 625. Artificial Intelligence. Credits 3. 3 Lecture Hours Basic concepts and methods of artificial intelligence; Heuristic search procedures for general graphs; game playing strategies; resolution and rule based deduction systems; knowledge representation; reasoning with uncertainty. Prerequisite: CSCE 221.

CSCE 631. Intelligent Agents Parallel Algorithm Design and Analysis. Credits 3. 3 Lecture Hours On the design and implementation of Intelligent Agents and coordination mechanisms among multiple agents, ranging from theoretical principles to practical methods for implementation.  Prerequisite: CSCE 420 or CSCE 625.

CSCE 627. Theory of Computability. Credits 3. 3 Lecture Hours Formal models of computation such as pushdown automata; Turing machines and recursive functions; unsolvability results; complexity of solvable results.  Prerequisite: CSCE 433.

CSCE 636. Neural Networks. Credits 3. 3 Lecture Hours Basic concepts in neural computing; functional equivalence and convergence properties of neural network models; associative memory models; associative, competitive and adaptive resonance models of adaptation and learning; selective applications of neural networks to vision, speech, motor control and planning; neural network modeling environments.  Prerequisite: MATH 304 and MATH 308 or approval of instructor.

CSCE 639/MEEN 676. Fuzzy Logic and Intelligent Systems. Credits 3. 3 Lecture Hours Introduces the basics of fuzzy logic and its role in developing intelligent systems; topics include fuzzy set theory, fuzzy rule inference, fuzzy logic in control, fuzzy pattern recognition, neural fuzzy systems and fuzzy model identification using genetic algorithms.   Prerequisite: CSCE 625 or approval of instructor.  Cross Listing: MEEN 676/CSCE 639.

CSCE 644. Cortical Networks. Credits 3. 3 Lecture Hours The architecture of the mammalian cerebral cortex; its modular organization and its network for distributed and parallel processing; cortical networks in perception and memory; neuronal microstructure and dynamical simulation of cortical networks; the cortical network as a proven paradigm for the design of cognitive machines.  Prerequisite: CSCE 420 or CSCE 625 and CSCE 636 and graduate classification.