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". -- 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