From: govindg@ucunix.san.uc.edu (Girish Govind)
Newsgroups: misc.jobs.resumes
Subject: PhD EE, DSP, Neural Networks, AI, Software & Hardware
Date: 28 Dec 92 21:30:32 GMT
Distribution: usa
Organization: University of Cincinnati


Dear Sir/Madam:

I am posting my resume here as I am currently a PhD candidate in Electrical
Engineering at the University of Cincinnati, and expect to graduate in
January 1993. My area of research is Neural Networks, Digital Signal
Processing, and Fuzzy Control and I am looking for opportunities to do
applied research and development in these or related areas after my
graduation. Besides these major research areas I have had research experience
in other areas including Genetic Algorithms, Signal Processing Architectures,
and Optical Computing/Signal Processing. With this unique blend of experience
in a wide spectrum of areas I feel confident that I can devise solutions to
research and development problems and contribute in both hardware and software
design.

I am looking for work with a group of experienced
individuals with intense interest in particular areas. The most important
thing from my point of view is an environment where ideas can be exchanged,
and new ones thus created. I have no geographical preference.

My resume follows. If there is any interest in my background feel free to 
contact me and I will mail you a nicer formatted copy of my resume.
Thank you for your consideration.


					Sincerely,

					Girish Govind

--------------------------------- resume ----------------------------------

				GIRISH GOVIND
			   2930 Scioto Street, # 707
			     Cincinnati, OH 45219
			      (513) 556-7500 (R)
			      (513) 556-6297 (O)
			Email: govindg@ucunix.san.uc.edu

OBJECTIVE
    A challenging career of research and development in the areas of Signal
    Processing, Neural Networks, and Artificial Intelligence.

AREAS OF INTEREST
    Major Research Area: Digital Signal Processing, Neural Networks, Nonlinear
    Systems, Fuzzy Control, Artificial Intelligence.

    Other Interests: Digital Signal Processor Architectures, Parallel
    Processing Architectures, Optical Computing & Signal Processing, and
    Genetic Algorithms.

EDUCATION
    Ph.D. in Electrical Engineering
    Department of Electrical & Computer Engineering
    University of Cincinnati, Cincinnati, OH.

	Date of graduation (expected): January 1993		GPA: 3.95/4.0
	Thesis title: A New Neural Network Architecture and Algorithm for
		      Nonlinear System Identification and Control

	Graduate Coursework: Digital Signal Processing, Random Processes,
	Optimal Filtering, Digital Speech Processing, Digital Image
	Processing, Adaptive Signal Processing, Time Series Analysis,
	Mathematical Methods in Signal Processing, Linear Systems, Engineering
	Statistics, Data Structures, Switching and Automata Theory, MOS LSI
	Circuit Design, VLSI System Design, Computer Architecture,
	Fault-Tolerant Computing, Artificial Intelligence, Optical Computing &
	Signal Processing.

    B.Tech in Electrical Engineering
    Indian Institute of Technology, Bombay, India.

	Date of graduation: May 1985

EXPERIENCE

    Graduate Research Assistant
    University of Cincinnati, Cincinnati, OH
    September 1987 -- present.

     o	Conducted full-time research on thesis-related topics - system
	identification, nonlinear systems, and various neural architectures
	and algorithms.
     o	Gained experience working with my advisor on various other research
	areas -- systolic signal processing architectures using different
	number systems (signed-digit, residue), adaptive beamforming
	techniques, fuzzy control, and chaotic systems.
     o	Wrote regular progress reports for the agencies funding the above
	projects -- Office of Naval Research (ONR), NASA, and Air Force RADC.
     o	Gave presentations at meetings of the NASA Center for Health
	Monitoring on nonlinear modeling of the dynamics of the Space Shuttle
	Main Engine.
     o	Managed computer equipment.
   
    Research Engineer
    Konsal Research Associates, Inc., Cincinnati, OH
    October 1991 -- present.

     o	Developing hardware and software for an intelligent manufacturing 
	process monitor which can monitor the tool condition. This is based
	on the Motorola 68HC11 single chip microcomputer.
     o	Worked with another research engineer to put together the
	Phase I research report and the Phase II research proposal for a DARPA
	SBIR contract for developing algorithms to integrate multi-sensor
	information related to tool diagnostics and control.

    Graduate Teaching Assistant
    University of Cincinnati, Cincinnati, OH.
    September 1985 -- September 1987.

     o	Conducted lecture and problem sessions, graded assignments and papers
	for several undergraduate and graduate courses.
     o	Served as System Administrator for a number of IBM PC systems and SUN
	workstations in labs of the Department of Electrical and Computer
	Engineering.
     o	Conducted research under the guidance of my Thesis Advisor on
	architectural aspects of Optical Computing and Signal Processing.

AWARDS & HONORS

     Graduate Research Assistantship, University of Cincinnati (1987-present).
     Graduate Teaching Assistantship, University of Cincinnati (1985-1987).
     Summer Research Fellowship, University of Cincinnati (1985-1987).
     University Graduate Scholarship, University of Cincinnati (1985-1992).

PUBLICATIONS

     A complete list is available -- 17 papers in conferences and journals
     in the areas of Neural Networks, Digital Signal Processing, and Optical
     Signal Processing.

COMPUTER SKILLS

     o	Languages: C, LISP, Prolog, FORTRAN, and Assembler. Learning C++.
     o	Operating Systems: UNIX, VMS, and MS-DOS.
     o	Software Tools: DSP Software (DADiSP, MATLAB, ILS), Neural Network
	Software (Neuralware, ANSIM, PDP), Math Software (Mathematica, Maple,
	SAS), CAD (Berkeley CAD Tools for Chip Layout, Simulation, and 
	Testing), Typesetting (TeX, LaTeX), several MS-DOS spreadsheet, 
	wordprocessing, and desktop publishing programs.

RELEVANT PROJECTS

     o	Coding and simulation of a Kohonen self-organizing neural network.
     o	Implementation of a fuzzy logic control system for backing up a truck.
     o	Using simulated annealing to find the global minimum error value for
	different multi-layered neural network structures for a problem.
     o	Coding and simulation of various adaptive filtering algorithms of
	transversal and lattice form structures.
     o	Simulation of a nonlinear controller using the CMAC (Cerebellar Model
	Articulation Controller) model.
     o	Applying Genetic Algorithms to identify fuzzy rules for a simple
     	control system.
     o	Time-scale modification of speech using an overlap and add method.
     o	Interpolation and Decimation of signals.
     o 	Time series modeling of power usage with a Box-Jenkins kind of
     	approach using the SAS/ETS software.
     o	Design and simulation of a multiplier/divider using the Booth
     	algorithm using RSIM.
     o	Design, layout, and simulation of an array multiplier in NMOS using
	Magic and ESIM.
     o	Coding and Simulation of the PODEM (Path Oriented Decision Making)
     	algorithm to generate test vectors for combinational logic circuits.

REFERENCES

     Available upon request.