bobgian@psuvax.UUCP (Bob Giansiracusa) (03/26/84)
I am searching for a new teaching or industrial research position. To me,
this is more than just a career: it is a search for the right environment
in which my vision for the future of AI and education can come to fruition.
I don't want just to teach computer science or build machines. I want to
innovate. My slightly atypical past has brought me to a vision of what I
think Computer Science should be, and I want to build that vision.
I see Computer Science as a subset of Artificial Intelligence; CS is that
subfield of the study of intelligence which deals with its mechanization
via physical symbol systems. The computational paradigm is powerful indeed,
and it permeates all other subfields of AI (algorithms, data structures,
languages, logic, linguistics, psychology, neurophysiology, cybernetics
and control, signal processing, and so on). I want to bring together my
background in all these areas (stronger in some, weaker in others, but
STRONG INTEREST in ALL) to build a new foundation for this field as a true
science and a new liberal art.
To those interested: please mail or call! To those not, please excuse my
"deluge of the airwaves".
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Brief resume:
Research Artificial Intelligence, especially models of Learning (in
Interests both humans and machines); AI models for scientific discovery,
invention, creativity, and the evolution of consciousness.
Perceptual organization, including signal/symbol transformations
in visual and auditory understanding.
Novel computer architectures for Signal Processing and Artificial
Intelligence applications. New languages and machine models
(dataflow, message-passing, non-procedural, functional, etc.).
New models for intelligent machines (adaptive architectures,
dynamic reconfiguration, HLL machines, etc.).
Design strategies for extremely complex systems (automated
VLSI design and layout, circuit testing, and program debugging).
Teaching All of above, plus foundational courses in all of Computer
Interests Science and Electrical Engineering. Very strong interest
in curricular innovation.
Formal BS, Electrical Engineering, University of California, Berkeley,
Education 1975. Math, Physics, Circuit Design, Communications Theory,
Linear Systems and Control Theory, Computer Architecture, IC
Design, Neurophysiology, Mathematical Biophysics, Business Law.
MS, Electrical Engineering, MIT, Cambridge, 1978. Artificial
Intelligence, Algorithms, Data Structures, Language Processors,
Operating Systems, Image Processing, Digital Signal Processing,
Estimation and Control, VLSI Design.
PhD Candidate, Artificial Intelligence Lab, MIT. Am now ABD.
Thesis research concerns the automatic construction of models
which can predict and characterize the behavior of unknown
dynamical systems at multiple levels of abstraction. Am
seriously attempting to discover the fundamental substrate
for domain-independent learning.
Present Instructor, Department of Computer Science, Penn State University,
Position University Park, PA 16802, from March 1983 through May 1984.
Taught introductory courses in FORTRAN, PL/I, and LISP. Created
and taught first undergraduate AI course. Created and am now
teaching graduate AI seminar on Machine Learning and AI Software
Engineering course.
--
Bob Giansiracusa
Computer Science Dept, Penn State U, 814-865-9507 (ofc), 814-234-4375 (home)
Arpa: bobgian%PSUVAX1.BITNET@Berkeley
UUCP: bobgian@psuvax.UUCP -or- ..!allegra!psuvax!bobgian
Bitnet: bobgian@PSUVAX1.BITNET CSnet: bobgian@penn-state.CSNET
USmail: PO Box 10164, Calder Square Branch, State College, PA 16805