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John DomenechArlington, VA

John Domenech Phones & Addresses

Arlington, VA   

Alexandria, VA   

Work

Company: Joint improvised explosive device defeat organization Jul 2012 Position: Leidos task lead supporting current intelligence division

Education

School / High School: US Army War College 2008 Specialities: Masters of Strategic

Mentions for John Domenech

John Domenech resumes & CV records

Resumes

John Domenech Photo 20

Chief Operating Officer

Location:
300 north Sepulveda Blvd, El Segundo, CA 90245
Industry:
Military
Work:
Zasti
Chief Operating Officer
Saic Aug 1, 2007 - 2008
Senior Technology Project Manager
Education:
University of Florida 1972 - 1978
Skills:
P&L Operations, Balance Sheet Review, Program Management, Systems Engineering, Business Development, Project Management, Security, Dod, Strategic Planning, Government Contracting, National Security
John Domenech Photo 21

John Domenech

John Domenech Photo 22

John Domenech

John Domenech Photo 23

Owner, Brisas De Pipa S.l.

Location:
Natal Area, Brazil
Industry:
Restaurants
John Domenech Photo 24

John Domenech - Alexandria, VA

Work:
Joint Improvised Explosive Device Defeat Organization Jul 2012 to 2000
Leidos task lead supporting Current Intelligence Division
Joint Interagency Intelligence Operations Center Jan 2012 to Jun 2012
Contact Ms Sandy Brooks, Supervisor
G-34 Protection Division Sep 2008 to Jan 2012
Chief
SAIC - Baghdad Sep 2007 to Sep 2008 Masters of Strategic Studies, US Army War College 2008 to 2008 Construction Services, BE&K Government Group - Birmingham, AL Jan 2005 to Aug 2007
Senior Program Manager
US Army. United States Joint Forces Command Dec 2005 to Mar 2007
Colonel
US Army - Baghdad Dec 2003 to Oct 2004
Colonel
US Army and Ellis Environmental Group - Gainesville, FL 2002 to Dec 2003
Positions as Director, Crisis Action Center at US Southern Command
NetCompliance Products & Services (NCPS) Inc Mar 1999 to Jul 2002 NetCompliance Products & Services (NCPS) Inc - Washington, DC 1999 to Jul 2002
President
DEI-Environmental and Technology Consulting - Bozeman, MT 1995 to 1999
Director
Crisis Action Team 1997 to 1998
Chief/Battle Captain
Lockheed Environmental Systems & Technologies Company - Houston, TX 1992 to 1995
Director, Program Development
Skyland Scientific Services - Bozeman, MT 1986 to 1990
President & CEO
Chem-Nuclear Systems - Columbia, SC 1983 to 1986
Manager, Site Development and Project Operations
Hanford Nuclear Laboratory - Richland, WA 1978 to 1982
Radiological Engineer
Personnel Management 1978 to 1978
Executive Management
University of Florida - Gainesville, FL 1977 to 1978
Project Manager
Forest Resources and Conservation 1976 to 1976
Education:
US Army War College 2008
Masters of Strategic
University of Florida 1978
M.S. in Nuclear Engineering
University of Florida 1976
B.S. in Forest Resources and Conservation
George Washington University
Ph.D.(expected) in Engineering Management

Publications & IP owners

Us Patents

Artificial Intelligence Enabled Assessment Of Damage To Automobiles

US Patent:
2020010, Apr 2, 2020
Filed:
Sep 30, 2019
Appl. No.:
16/587934
Inventors:
Ramanathan Krishnan - Oakton VA, US
John Domenech - Big Pine Key FL, US
International Classification:
G06Q 40/08
G06N 3/04
G06N 3/08
Abstract:
A vehicle damage assessment system is described. The system receives one or more photos in connection with a distinguished vehicle insurance claim. For each received photo, the system: uses a statistical model to identify a portion of the vehicle shown in the identified region; applies to the photo one of a number of content-based retrieval systems that is specific to the identified vehicle portion to retrieve one or more similar photos submitted with resolved claims that show the identified region of a vehicle that is the subject of the claim; and, for each retrieved photo, accesses a quantitative measure describing repair work performed under the resolved claim with which the retrieved photo was submitted. The system aggregates some or all of the accessed quantitative measures to obtain a quantitative measure predicted for the distinguished claim. The system outputs the obtained quantitative measure predicted for the distinguished claim.

Hybrid Analysis Framework For Prediction Of Outcomes In Clinical Trials

US Patent:
2020009, Mar 26, 2020
Filed:
Sep 23, 2019
Appl. No.:
16/578980
Inventors:
Ramanathan Krishnan - Oakton VA, US
John Domenech - Big Pine Key FL, US
International Classification:
G16H 10/20
G06N 3/08
Abstract:
A facility for predicting patient outcomes on the basis of clinical trials is described. The facility obtains information describing one or more completed clinical trials, and extracts features from the obtained clinical trial information. The facility uses the extracted features to train both a time-series data model for predicting clinical outcomes and a non-time-series data model for predicting clinical outcomes. The facility applies these trained models to information describing a subject patient to predict a clinical outcome for the subject patient.

Multimodal Learning Framework For Analysis Of Clinical Trials

US Patent:
2020009, Mar 19, 2020
Filed:
Sep 13, 2019
Appl. No.:
16/570942
Inventors:
Ramanathan Krishnan - Oakton VA, US
John Domenech - Big Pine Key FL, US
International Classification:
G16H 10/60
G16H 10/20
G06N 20/00
G16H 15/00
Abstract:
A facility providing a medical outcome prediction model data structure is described. The data structure constitutes a trained statistical model that can be applied to image data and electronic health record data for a patient to predict a cancer survival outcome for the patient.

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