Martin Maltz
Rochester *******@***.*** Home 585-***-****
New York htpps://linkedIn.com/in/martinsmaltz Cell 585-***-****
Summary
Senior level algorithm developer and software implementer with over 50 patents and publications. Creator of innovative image processing solutions for Xerox and PARC that have earned millions of dollars of revenue. Expertise in software architecture, object oriented design, applied mathematics, relational data bases, physics, chemistry, and electrical engineering.
Professional Experience
PARC, a Xerox company, Webster NY May, 2014 – May, 2016
Principal Scientist
Provided state of the art solutions in many fields to fulfill research contracts won by PARC
Led a program to extract skin health information from selfie images for a cosmetics company contract that was worth over $1,000,000. Developed superior algorithms and software for determining wrinkle severity.
Developed algorithms and software for the widely used Xerox license plate recognition system that reduced reading errors from 10% to 5%.
Developed algorithms and software for understanding the organization of scanned printed forms so they could be turned into electronically editable documents that automatically put the entered information into a suitable data base.
Xerox, Webster NY August, 1990 – May, 2014
Principal Scientist
Led the development of the system that controls color reproduction in Xerox color printers.
Wrote many of the key modules that generate the printer data structures that control the color response.
Developed the GUI based color tuning tools that helped sell at least $20,000,000 worth of color printers by satisfying buyer color preferences.
Developed many GUI based diagnostic tools widely used in the Xerox printer division.
Contributed to the development of MatchAssure, a stand-alone Xerox software product.
Was Xerox delegate to the International Color Consortium since its inception (1993)
Xerox, Webster NY July, 1978 – August, 1990
Senior Member of the Research Staff
Led imaging system analysis project.
Developed image quality metrics and marking physics models for B&W and color xerographic, transfer thermal, and inkjet technologies.
Applied metrics and models to the analysis of light lens, image bar, laser Raster Output Scanners, input scanners, and Direct Electronic printing systems to improve and monitor their performance.
Martin Maltz *******@***.***
Xerox, Mississauga (Toronto area), Canada July, 1974 – July, 1978
Member of the Research Staff
Helped to found the Xerox Canadian Research Center
Led a group studying and improving novel B&W and color photo-electrophoretic marking technologies.
Designed electronics for a microfilm camera based on these technologies.
Xerox, Webster NY April, 1968 – July, 1974
Member of the Research Staff
Explored some extremely novel imaging technologies
Developed imaging technologies that used electroluminescence, electrophoresis, and photo-electrophoresis.
Studied an exploratory xerographic development system with peculiar properties that had baffled Xerox scientists for years, developed a detailed understanding of this behavior, and used this understanding to improve the technology.
Developed novel and patented electronic circuits to drive these technologies.
Education
PhD in Electrical Engineering and Solid State Physics, Massachusetts Institute of Technology, 1968, National Merit Scholarship
BSEE, Rensselaer Polytechnic Institute, 1962, New York State Scholarship
Many courses taught at Xerox including Artificial Intelligence and Machine Learning by Andrew Ng (Stanford University CS299), OpenCV, Lean Six Sigma, and Computer Vision. Additional Lynda.com courses in web technology.
Awards
Anne Mulcahy Inventor Award, 2013
2007 R&D magazine 100 Award
Over 50 patents awarded and many more pending
Skills
Algorithm development, Applied mathematics, digital imaging, computational vision, support vector machines, image quality analysis, color management, electrical engineering, solid state physics, C++, C, Java, Java3D, OpenCV, OpenSym, Matlab, GUIs, Linux, Windows.
Certificates (Lynda.com)
HTML, CSS, javascript, PHP, SQL