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Murad Akhrarov Phones & Addresses

  • Clayton, NC
  • Kirkland, WA
  • Santa Clara, CA
  • Bellevue, WA
  • San Mateo, CA
  • Burlingame, CA
  • 6504 130Th Ave NE APT L204, Kirkland, WA 98033 (650) 627-8067

Work

Company: Microsoft Apr 2008 Position: Software engineer

Education

Degree: PhD School / High School: Lebedev Institute of Physics 1980 to 1986 Specialities: Laser Physics

Languages

English • Russian

Industries

Information Technology and Services

Resumes

Resumes

Murad Akhrarov Photo 1

Software Developer @ Microsoft

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Position:
Software Engineer at Microsoft
Location:
Greater Seattle Area
Industry:
Information Technology and Services
Work:
Microsoft since Apr 2008
Software Engineer

iSagacity, Inc Apr 2006 - Apr 2008
Software Manager
Education:
Lebedev Institute of Physics 1980 - 1986
PhD, Laser Physics
Samarkand Aliser Navoi Nomidagi Universiteti 1970 - 1975
Languages:
English
Russian

Publications

Us Patents

Method For Analyzing And Classifying Process Data

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US Patent:
20100030521, Feb 4, 2010
Filed:
Feb 13, 2008
Appl. No.:
12/030437
Inventors:
Murad Akhrarov - Santa Clara CA,
Joe Bates - Joliet IL,
Peter Millett - Bremen ME,
Chanchal Sharma - Lee NH,
International Classification:
G06F 15/00
US Classification:
702182, 702188
Abstract:
Process data mining system and method. The system analyzes data from complex process plants or systems and operates in open-book and closed-book modes. In closed-book mode, the system monitors incoming data sets against pre-defined clusters of data values and generates reports, indicating whether incoming data is a match or a no-match with the pre-defined clusters. In open-book mode, the system generates initial clusters, without having a-priori knowledge of the component or process, and also creates clusters “on the fly”, thereby fine-tuning the analysis. A knowledge base encompasses a combination of parameters for a particular component. Clusters are defined within the knowledge base, each cluster representing a particular operating condition. The system expands clusters, within pre-defined limits, or creates new clusters, as needed, in order to accommodate incoming data values. Newly created clusters are then named, so as to indicate the particular operating conditions.
Murad Akhrarov from Clayton, NC, age ~69 Get Report