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Ossam Manea

from Reston, VA
Age ~61
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Also known as:
Ossan Manea, Manea Ossam, Mavea Ossam, Manea Ossman
Related to:
Jasmine Manea, 30Michael J Edgerton, 56Jasmin Manea, 30Sabrina ManeaRobert J Edgerton, 58Michelle M Edgerton, 73John J Edgerton, 81Belgis ManeaCarol E Edgerton, 81Kathleen A Manea, 59Christopher B Edgerton, 46
Connected to:
Andrea C Manea, 53Christopher Manea, 44Constantin I Manea, 64Loredana C Manea, 37Mihaela Manea, 29Rodica Manea, 63Dewayne B Manear, 75Rickey R Manear, 69Ryan G Manecke, 55Shayne F Manecke, 53

Ossam Manea Phones & Addresses

  • Reston, VA
  • Sioux Falls, SD
  • 43791 Water Bay Ter, Leesburg, VA 20176 (703) 771-0012
  • 932 Edwards Ferry Rd NE, Leesburg, VA 20176
  • 4629 31St St, Arlington, VA 22206 (703) 820-7643 (703) 824-8120
  • Sterling, VA
  • Burke, VA
  • Princeton, NJ
  • 43791 Water Bay Ter, Leesburg, VA 20176

Work

Position: Professional/Technical

Education

Degree: Associate degree or higher

Public records

Vehicle Records

Ossam Manea

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Address:
43791 Water Bay Ter, Leesburg, VA 20176
Phone:
(703) 554-9950
VIN:
WDBUF56X89B383669
Make:
MERCEDES-BENZ
Model:
E-CLASS
Year:
2009

Resumes

Resumes

Ossam Manea Photo 1

President And Chief Technology Officer

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Location:
932 Edwards Ferry Rd northeast, Leesburg, VA 20176
Industry:
Computer Software
Work:
LogicLink Solutions - 22960 Shaw Road, Sterling VA 20166 since Jan 2010
President & CTO
United States Postal Service 2004 - 2012
Kahala Posts Group technical project manager
ManeaNet, Inc Sep 1999 - Dec 2009
CEO
Internosis 1999 - 2001
Principle software architect
Education:
New Mexico State University 1987 - 1990
Skills:
.Net
Oracle
Microsoft Sql Server
Databases
Xml
C#
Asp.net
Programming
Vb.net
Visual Basic
Visio
Html
Access
Government
Ms Project
Ossam Manea Photo 2

Ossam Manea

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Business Records

Name / Title
Company / Classification
Phones & Addresses
Ossam Manea
Principal
Maneanet Inc
Nonclassifiable Establishments
11921 Freedom Dr, Herndon, VA 20190
PO Box 650790, Dulles, VA 20165

Publications

Us Patents

System And Method For Intelligent Data Management Of The Transport Of Items Within A Transport Network

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US Patent:
8051025, Nov 1, 2011
Filed:
Jun 1, 2007
Appl. No.:
11/806599
Inventors:
Edward A. Wohlganger - Silver Spring MD, US
Vincent J. Mougey - Springfield VA, US
Ossam Manea - Leesburg VA, US
Assignee:
United States Postal Service - Washington DC
International Classification:
G06F 17/00
G06N 5/02
US Classification:
706 47, 706 45, 706 62
Abstract:
A system and method for intelligent data management enables the transport of items within a network by creating a first database defining a transport path of an item from an origin facility to a destination facility, and operations that affect the transport of items. In order to update the transport path and operations, a data management application receives changes. The application, and associated data storage device, includes user profile, table, network model and development model databases. Modules within the application manage users and data, implement ad hoc and holiday schedules, report errors, verify changes and create new databases to reflect the changes.

Methods And Systems For Postcode-To-Postcode Delivery Interval And Routing Calculation

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US Patent:
20050256731, Nov 17, 2005
Filed:
Sep 30, 2004
Appl. No.:
10/953575
Inventors:
Vincent Mougey - Alexandria VA, US
Adrian Goulbourne - Silver Spring MD, US
Ossam Manea - Leesburg VA, US
International Classification:
G06F017/60
US Classification:
705001000
Abstract:
Systems and methods are disclosed for calculating a delivery date. The disclosed systems and methods may include receiving, at a delivery processor, origin data corresponding to an origin delivery office that receives an item to be sent, the origin data comprising origin location information, a scan date reflecting a date the item is scanned at the origin delivery office, and a scan time reflecting a time the item is scanned at the origin delivery office. The delivery processor determines whether the scan time is before a cut-off acceptance time for scanning items at the origin delivery office and sets a start date and time based on the scan time determination. The delivery processor also determines a first estimated date and time that the item will be scanned at an outbound delivery office, and determines a second estimated date and time that the item will be scanned at an inbound delivery office. Thereafter, the delivery processor calculates the estimated delivery date based on the start date and time, the first estimated date and time, and the second estimated date and time, and provides the estimated delivery date to a source data processor.
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Ossam Manea from Reston, VA, age ~61 Get Report