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Kevin E Dorow

from Kennewick, WA
Age ~53
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Also known as:
Kevin Eugene Dorow, Kevin L Dorow
Phone and address:
2801 Huntington Ct, Kennewick, WA 99337
(509) 619-0872
Related to:
Kelly R Mcfadden, 45Ernest A Dorow, 81Genna F Dorow, 55John C Vasquez, 50Rebecca C Vasquez, 57Angie L Vasquez, 54Jeanne M DorowZacarias S Vasquez, 82Josefina C Vasquez, 80
Connected to:
Andrea J Dorow, 59Katrina E Dorow, 46Mary L Dorow, 64Patricia M Dorow, 58Stephen D Dorow, 55Thomas R Dorow, 74Ekaterina Dorozhkina, 37Jill Dorozynski, 55Barbara J Dorr, 55Christin E Dorr, 35

Kevin Dorow Phones & Addresses

  • 2801 Huntington Ct, Kennewick, WA 99337 (509) 619-0872
  • 2801 Huntington St, Kennewick, WA 99337
  • 1201 Cunningham Rd, Othello, WA 99344
  • Richland, WA
  • Cheney, WA
  • Pasco, WA

Work

Company: Pacific northwest national laboratory Oct 2018 Position: Project manager

Education

Degree: Master of Science, Masters School / High School: Washington State University Aug 2000 to Dec 2002 Specialities: Computer Science

Skills

Algorithms • Software Development • Computer Science • Research • Systems Engineering • Sensors • Project Management • Machine Learning • R&D • Simulations • Software Engineering • Programming • Software Project Management • Physics • Science • System Architecture • Artificial Intelligence • Embedded Systems • Distributed Systems • Latex • Data Mining • Python • Matlab

Languages

Spanish

Interests

Children

Industries

Information Technology And Services

Resumes

Resumes

Kevin Dorow Photo 1

Project Manager

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Location:
2801 south Huntington Ct, Kennewick, WA 99337
Industry:
Information Technology And Services
Work:
Pacific Northwest National Laboratory
Project Manager
Washington State University Aug 2004 - Aug 2009
Adjunct Faculty
Energy Northwest Aug 2004 - Aug 2009
Senior Research Scientist
Pacific Northwest Natl Lab Aug 2004 - Aug 2009
Senior Research Scientist
Pacific Northwest National Laboratory Aug 2004 - Aug 2009
Senior Research Scientist
Education:
Washington State University Aug 2000 - Dec 2002
Master of Science, Masters, Computer Science Eastern Washington University Aug 1990 - Jun 1993
Bachelors, Bachelor of Science, Physics
Skills:
Algorithms
Software Development
Computer Science
Research
Systems Engineering
Sensors
Project Management
Machine Learning
R&D
Simulations
Software Engineering
Programming
Software Project Management
Physics
Science
System Architecture
Artificial Intelligence
Embedded Systems
Distributed Systems
Latex
Data Mining
Python
Matlab
Interests:
Children
Languages:
Spanish

Publications

Us Patents

System For Remote Data Sharing

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US Patent:
20070064477, Mar 22, 2007
Filed:
Sep 20, 2005
Appl. No.:
11/231727
Inventors:
Kevin Dorow - Kennewick WA, US
Steven Shoemaker - Burbank WA, US
Michael White - Richland WA, US
Assignee:
Battelle Memorial Institute - Richland WA
International Classification:
G11C 16/04
US Classification:
365185010
Abstract:
Embodiments of the present invention encompass a remote data sharing system that can support connectivity between any JDBC-compliant data source and any Java-compatible remote client, which system can be implemented without programming. The system can comprise at least one JDBC-compliant data source, a gateway running inside a Java-compliant web container, and a plurality of remote clients. The system allows for platform-independent data sharing.

Information Reservoir

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US Patent:
20040111410, Jun 10, 2004
Filed:
Oct 14, 2003
Appl. No.:
10/684975
Inventors:
David Burgoon - Columbus OH, US
Mark Davis - Sunbury OH, US
Kevin Dorow - Kennewick WA, US
Todd Hitt - Worthington OH, US
Douglas Mooney - Columbus OH, US
Steven Rust - Worthington OH, US
Loraine Sinnott - Columbus OH, US
International Classification:
G06F007/00
US Classification:
707/004000
Abstract:
Approximate answers to queries are provided by executing queries against a representation of a data source in addition to, or in lieu of accessing the source data itself. A representation of a data source, referred to herein as an Information Reservoir, is constructed and maintained using probabilistic methodologies based upon a Poisson sampling approach. The Information Reservoir provides approximate answers to ad hoc queries, potentially in a small fraction of the time required to calculate an exact answer. Associated variances are also provided that may additionally be used to calculate confidence intervals bounding the exact answer. An Information Reservoir may be biased toward a subset of the information in the original data source and/or tailored to the anticipated query workload. Queries expressed as if directed to the original data source may be automatically translated to run against the Information Reservoir with little or no additional burden placed on the Information Reservoir user. Information Reservoir collections may be created that offer users approximate answers of varying levels of precision. Information Reservoirs may also be combined with non-sampling concise representations to increase the precision of approximate answers for certain classes of queries. For example, approximations to specific multidimensional histograms may be combined with an Information Reservoir to accommodate highly selective queries that sampling does not effectively address.
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Kevin E Dorow from Kennewick, WA, age ~53 Get Report