Brian Yun No

age ~49

from Castle Pines, CO

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Also known as:

Brian Y No
Kyung Yun No
Kyung Y No
Brian Y Mrno
Brian Y Yno

Connected to:

Brian No Phones & Addresses

Castle Pines, CO
Huntsville, AL
Englewood, CO
Owens Cross Roads, AL
232 Burnett Ave, Renton, WA 98057
Seattle, WA
Auburn, WA
Kent, WA
Kiona, WA
7035 S 133Rd St, Seattle, WA 98178

Resumes

Manager Of Ai

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Location:

22118 41St Pl south, Kent, WA 98032

Industry:

Defense & Space

Work:

Caci International Inc
Manager of Ai
Boeing Jun 1, 2011 - Apr 2019
Advanced Technology Manager
Boeing Sep 1, 2015 - Apr 2019
Advanced Analytics and Decision Systems Manager at Boeing
Boeing Oct 2010 - Jun 2011
Program Manager, Satcom on the Move
Boeing Aug 2004 - Oct 2007
Systems Engineering Analyst

Education:

Auburn University 2018 - 2020
Master of Business Administration, Masters University of Southern California 2015 - 2016
Master of Science, Masters, Information Systems University of Washington 2009 - 2009
University of Washington Sep 2008
Central Washington University 1993 - 1998
Bachelors, Bachelor of Arts, Bachelor of Arts In Business Administration

Skills:

Systems Engineering
Program Management
Dod
Military
Aerospace
Earned Value Management
C4Isr
Engineering Management
Analysis
Intelligence
U.s. Department of Defense
Command
Project Planning
Leadership
Project Management
Integration
Defense
Team Leadership
Security Clearance
Government
Business Development
Proposal Writing
New Business Development
Risk Management
Engineering
Surveillance
Intelligence Analysis
Air Force
Product Development
Microsoft Office

Interests:

Science and Technology

Languages:

Korean

Brian No

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Brian No

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Us Patents

Method And Apparatus For Mobile Intelligence
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US Patent:

20080177683, Jul 24, 2008
Filed:

Jan 23, 2007
Appl. No.:

11/626125
Inventors:

Brian Y. No - Kent WA, US
John G. Asay - Olympia WA, US
Brian McGiverin - Newsoms VA, US
John Haager - Bonney Lake WA, US
International Classification:

G06F 15/18
G06N 5/00
G06N 7/02
US Classification:

706 15, 706 45, 706 52
Abstract:

A computer implemented method, apparatus, and computer usable program code for processing sensor data. A network data processing system contains a server, and a plurality of mobile clients. Each mobile client executes on a node using an artificial intelligence process and a memory model located at the node. Each mobile client also receives data from a set of sensors associated with the node to form sensor data, processes the sensor data using the artificial intelligence process and the memory model, and identifies an action based on processing the sensor data. Each mobile client also selectively sends results from processing the sensor data to the server in response to encountering a selected event at the node and receives an update to the memory model based on results from another mobile client. The update provides an ability to process sensor data with respect to new events.