[net.ai] Research Interests

bobgian@psuvax.UUCP (Bob Giansiracusa) (03/26/84)

Learning and Intelligence:

    Models of Learning (in both humans and machines):

	Perceptual Organization (signal/symbol transformations in
	visual and auditory understanding)

	Language Acquisition (Human and Artificial)

	Computational models for scientific discovery, invention,
	creativity (esp computer music composition), and cultural evolution

	Computational models of the evolution of consciousness

    Computer Architecture (novel implementations of intelligent entities
    using innovative artifacts):

	New languages and machine models (dataflow, message-passing,
	object-oriented, non-procedural, functional, etc)
	    
	New models for intelligent machines (adaptive architectures,
	dynamic reconfiguration, HLL machines, etc)

	Intelligent processing based on new physical principles and new
	fabrication techniques:

	    Acousto-optical and other analog signal processing techniques

	    Extremely high bandwidth optical communication systems for
	    massively-interconnected parallel processors

	    Adaptive routing strategies for wafer-scale integration

	    Design strategies for extremely complex systems (automated
	    VLSI design and layout, circuit testing, and program debugging)

Related areas of interest (but not prime areas of competence):

    Operating Systems, Language Processors, and other "Systems Programming"

    Formal models of computation (Automata Theory, Formal Logic, etc)

    Neurophysiological models for intelligent processing

    Pattern recognition, especially as applied to automated EEG
    interpretation

    Topological studies of dynamical systems (qualitative dynamics,
    optimal and distributed control, multilevel systems, etc)

    Nonlinear network theory

    Communication theory, data compression, signal coding, digital signal
    processing, time-series analysis and estimation theory

    Corporate law and venture organization

--
Bob Giansiracusa
Computer Science Dept, Penn State U, 814-865-9507 (ofc), 814-234-4375 (home)
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