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Newt Love

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Newt Love: Scientist

Newt Love is a former US Marine MATCU radar repair technician, circa late 1970s. He attended
Abilene Christian University (physics, theology),
Mt Diablo Community College (physics),
San Diego Mesa College (geology),
Santa Monica College (math, economics),
University of Southern California (geology, economics),
University California, Los Angeles Extension (math, economics),
University California, Los Angeles (math, economics) B.A. 1988.
University of Missouri, Saint Louis (graduate studies: math)
National Defense University, Joint Staff College (certificate in Information Operations).

Newt worked for
Triad Systems, Sunnyvale, CA.
KayPro Computers, Solana Beach, CA
Lockheed Skunk Works, Burbank, CA
McDonnel Aircraft Phantom Works, St Louis, MO
Eagle Feather Systems, Chesterfield, MO
DTM Research, Laurel, MD
USinternetworking, Annapolis, MD
Eagan McAlister Associates, Lexington Park, MD
IIT Research Institute, Annapolis, MD
Alion Science & Technology, Annapolis, MD
Northrop Grumman Electronic Systems, Baltimore, MD
Chenega Federal Systems, Andrews AFB, MD
Interactive Technology Solutions, Silver Spring, MD

Newt was a voting member of the IEEE 802.20 (Mobile Broadband Wireless Access) Standards Committee.

In 2005, Northrop Grumman awarded Newt a Technical Fellowship in Modeling, Simulation and Analysis (MS&A). To qualify as a Fellow, the candidate must have a history of outstanding and sustained technical performance in a specialized field, with a record of creative and original thinking, and have the ability to translate scientific theory into innovative, practical results.
Fellows continuously demonstrate exceptional judgment, generate original concepts, tackle difficult problems that are important to the aerospace industry, and are recognized as authorities in their fields by their peers in industry.

Newt is an MS&A expert who leads systems engineering R&D efforts that explore new network-centric technologies, operations and methods for predicting the effectiveness of heterogeneous networks, within the context of the Global Information Grid.