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MORE THAN 25 years experience developing image processing and pattern recognition systems. Created new learning, information extraction, and classification techniques for biomedical, remote sensing and object recognition applications. Skilled in algorithm development, software generation, smart controls and vision system design. Received a Ph.D. in Electrical Engineering in 1977 from Carnegie Mellon University. Doctoral work was in biomedical pattern recognition and information theory. Published many technical articles, reports and conference papers on image analysis, object recognition, and learning and classification techniques.

Biomedical technology generated a novel information tree algorithm for the analysis of dermatoglyphic (finger and hand print) data as a diagnostic aid in determination of some genetic disorders. Developed a statistical package for the use of medical researchers. Applied clustering and classification techniques to a patient history database for evaluation of the effectiveness of alternative treatments. Created automated cell screening algorithms which select significant phenomena for later rapid review and classification by experts. Designed a fully automated microscope vision system for analysis of blood samples. This system is able to automatically focus, color correct, find red blood cells, locate and map white blood cells, and provide a six part differential analysis.

Multi-sensor systems designed data fusion techniques for combining information from multiple sensors for automated object recognition. Created advanced graph-matching recognition algorithms capable of classifying objects even under conditions of partial occlusion. Extensive research with visible light, infrared, real beam radar and synthetic aperture radar (SAR) based processing. Applied classical statistical pattern recognition and neural net techniques to image data for enhanced feature extraction and recognition. Developed advanced automated target recognition (ATR) algorithms for recognition of partially occluded objects. Analyzed and specified stereo collection systems for tallying and measuring parts and products.

Remote sensing developed techniques for extracting information from satellite data and automatically generating a ground feature database. Utilized stereo extraction techniques for automated terrain elevation map creation. Refined techniques for combining multi-look imagery to enhance object signatures and extract information.


Founded RSI in 1994:

RSI is a small company which develops new intelligent software products and provides consulting support for vision system development and object recognition applications. RSI developed the Recognition Toolkit, a software package for building image-based object recognition products. The Recognition Toolkit is an add-on product to the KBVision and Aphelion image processing software of Amerinex Applied Imaging. The Recognition Toolkit contains evaluation tools, a set of classifiers, and a corresponding set of learning and training routines to permit rapid development of tailored recognition software.


Biomedical Information Processing Coordinator for a joint program between Carnegie Mellon University and the A. I. duPont Institute. Project leader on many recognition and image analysis efforts at The Analytic Sciences Corporation and group leader for algorithms and modeling in the research laboratory at Textron Systems Corporation.



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