Morgan State University School of Engineering

Electrical & Computer Engineering Faculty

Title: Gee-In Goo, Associate Professor, Electrical & Computer Engineering

Educational Background:
1986 Ph.D. Electrical Engineering, Howard University, Washington DC; specialized in Communication & Controls. Dissertation: "A Linear Filter with Constrained Gain Matrix for Discrete-Time Signal" (Generalized Filter).
1966 MSEE, The University of Michigan, Ann Arbor, Michigan, Specialized in Laser and Electro-optics.
1965 BSEE, The University of Michigan, Ann Arbor, Michigan

Other Professional Training (Since employed by MSU, Aug. '88)
· June 1994 "Speech Spectrogram Reading", Speech Recognition, MIT, Cambridge, MA.
· July 1991 Parallel Processing Computer Architectures, MIT, Cambridge, MA.
· May 1991 Neural Networks for Vision and Image Processing, Wang Institute of Boston University, Tyngsboro, MA. Sponsored by DARPA.
· March 1991 Intelligent Information Systems and Artificial Intelligence Neural Networks training, Orlando, FL.
· July 1990 Parallel Computing: Dataflow Architectures and Languages, MIT, Cambridge, MA.
· May 1990 Neural Networks for Automatic Target Detection and Recognition, Wang Institute of Boston University, Tyngsboro, MA. Sponsored by DARPA.
· August 1989 Intro. to Supercomputer, Center for Supercomuting, Univ. of Pittsburgh, Pittsburgh, PA. Sponsored by NSF.
· August 1988 Acoustic Imaging and Systems training, at Optical Conference, San Diego, CA. Sponsored by SPIE.

Special Areas of Interest with Expertise
· Neural Networks for system controls and automatic target detection and recognitions.
· Signal Processing for: acoustic target detection, identification,
image target detection and recognition, speech recognition physical security systems, motion detection system and MTI systems.
· Super-processor and parallel-computing processor for real-time image processing.
· Sensors-IR, RF, radiation, acoustic, magnetic, electro-magnetic, magnetic grandiometers, etc.
· Computer simulation and modeling: Electro-magnetic and magnetic ship models, acoustic lenses models, non-linear geometric lens models
· Electronics-digital and analog
· Underwater Acoustic Lenses
· Sonars and Bionic (Dolphins) Sonars

Special Areas of Interest
· Non-linear Geometric Optics
· Communications systems
· Neural Networks and Fuzzy Control systems
· Machine Visions and Medical Imaging
· Bionic Sensors and bionic signal processing

Present and Future Research Topics and Descriptions
Bionic Sonar - this is an effort in developing an automatic target detection and identification sonar. In this effort, a bionic sonar, a broadband sonar, system is being developed. The bionic sonar system mimmicks a dolphin's detection and recognition technique. That is, a dolphin transmits a broadband acoustic signal and receives an echo from the targets. It then processes the information in this echo. It appears that the echo contains location information about the target such as shape, size, material composition and structure. This detection principle of operation is based on the idea that all targets resonate at its natural frequency when energized. We think, that dolphins may be using this resonant detection technique to identify underwater targets. Analyzing the natural resonant frequency from the targets one can determine the target's shape, size and material composition. This analysis can be achieved by using a G transform and a time delayed neural networks. Thus far, an accurate recognition rate of 95 - 97% has been achieved. Future work consist of analyzing more available active data on mine and mine-like targets. In addition, there seems to be sufficient passive acoustic sonar data indicating that a passive bionic sonar can be developed using this resonant (dolphin) detection technique. More work will be done in this research area.

Real-time Image processor - this real-time image process is a parallel processor developed in the mid 80s using commercial 1980s components. It processes images at 30 frames per second and sends the resulting images at 30 frames per second to a TV monitor. The purpose of the system is for detecting moving targets or MTIs. The target may be less than one pixel in size. This image processing system is effective as human vision. The goal and future effort is to re-develop this imaging system using state-of-the-art technology and using today's commercial components.

Neural Networks and Speech Recognition Research Lab
A lab facility for motivated students and to attract interested students to do research in N.N. and/or speech recognition.

Patents and Awards (Since employed by MSU, August 1988)
· July 1990 US Patent #4,939,407: "Block Patterning of the Metallization of Polyvinylidene Fluoride Transducers," Awarded to G. Goo and T. Waters.
· February 1990 Copyright # TX 2-783-937: "A Linear Filter with Constrained Gain Matrix for Discrete-Time Signal," Awarded to G. Goo.

Awards/Recognition (Since employed by MSU, August 1988)
· August 1990 US Department of the Navy, Naval Surface Warfare Center, Silver Spring, Maryland, Patent Award.
· March 1990 US Patent Office Recognition as Minority Inventive Genius of America award, US Patent Office Bicentennial Celebration (1790 - 1990).
· November 1998 US Department of the Navy, Naval Surface Warfare Center, Silver Spring, Maryland, Patent Award. Many other US Army and Navy research Lab Awards.

Description of Managed Laboratory Facilities: Communication and Communication Electronics Laboratory Neural Networks & Speech Recognition Research Laboratory. (Proposed) Underwater Acoustic Research Laboratory for acoustic Target Detection and Identification research in Schaefer Engineering Building.

Courses taught: (Since employed by MSU, August 1988)
EEGR 201 Network Analysis I
EEGR 202 Electrical Circuits
EEGR 203 Intro to Electrical Lab
EEGR 221 Signal and Systems I
EEGR 301 Network Analysis II
EEGR 322 Discrete System
EEGR 303 Electromagnetics I
EEGR 304 Electromagnetics II
EEGR 310 Principles of Electronics
EEGR 316 Electronics II
EEGR 317 Electronics
EEGR 401 Engineering Design
EEGR 403 Sr. Project Proposal
EEGR 404 Sr. Project Seminar
EEGR 453 Communication Theory
EEGR 454 Communication Electronics
EEGR 499-002 Intro to Neural Networks & Fuzzy Logics