Fei Zhao, Age 44193 Linden Ave, San Bruno, CA 94066

Fei Zhao Phones & Addresses

193 Linden Ave, San Bruno, CA 94066 (650) 583-8805

193 Linden Ave APT 2, San Bruno, CA 94066

Gilbert, AZ

Arlington, TX

25 Poncetta Dr, Daly City, CA 94015 (650) 756-2687 (650) 991-8908

120 Gennessee St, San Francisco, CA 94112 (415) 337-9588

Maricopa, AZ

San Mateo, CA

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Mentions for Fei Zhao

Fei Zhao resumes & CV records

Resumes

Fei Zhao Photo 32

Director Of Educational Assessment | Visiting Assistant Professor, Zucker Family School Of Education

Location:
2250 Show Basket Way, Mount Pleasant, SC
Industry:
Research
Work:
Educational Testing Service (Ets) Sep 2015 - Jul 2017
Psychometrician and Kansas K-Elpa Project Coordinator
The Citadel Sep 2015 - Jul 2017
Director of Educational Assessment | Visiting Assistant Professor, Zucker Family School of Education
Arizona Department of Education Jul 2013 - Sep 2015
Research Scientist
Education:
The University of Kansas 2007 - 2013
Doctorates, Doctor of Philosophy, Philosophy
University of Petroleum (East China) 2004 - 2007
Masters, Master of Laws, Public Administration, Education
Central China Normal University 1999 - 2003
Bachelors, Bachelor of Science, Mathematics, Applied Mathematics
Skills:
Spss, Research Design, Statistics, Data Analysis, Survey Design, Educational Research, Statistical Modeling, Quantitative Research, Sas, Structural Equation Modeling, University Teaching, Program Evaluation, Research, Survey Research, Data Collection, Psychometrics, Mplus, Educational Assessment, Statistical Software, Factor Analysis, Quantitative Analytics, Data Mining, Qualitative Research, Psychology
Fei Zhao Photo 33

Fei Zhao

Fei Zhao Photo 34

Fei Zhao

Location:
United States

Publications & IP owners

Us Patents

Test Object Holder

US Patent:
2020006, Feb 27, 2020
Filed:
Aug 20, 2019
Appl. No.:
16/546201
Inventors:
- Cupertino CA, US
Fei Zhao - Cupertino CA, US
Matthew A. Tamashiro - Cupertino CA, US
Jiahui J. Dong - Cupertino CA, US
Jeffrey Douglas Louis - Auckland, NZ
Michael Victor Paauwe - Auckland, NZ
Ryllian Zhang - Auckland, NZ
International Classification:
H02J 50/60
G01K 1/14
G01K 7/02
Abstract:
A testing assembly comprising a test object and a test object holder. The test object holder includes a body with an aperture defined therethrough. The test object is located in the aperture and an adhesive sheet is positioned over the aperture and the test object to retain the test object in place during testing.

Polymeric Ionic Liquids, Methods Of Making And Methods Of Use Thereof

US Patent:
2016011, Apr 28, 2016
Filed:
Dec 15, 2015
Appl. No.:
14/969895
Inventors:
- Toledo OH, US
Fei Zhao - Foster City CA, US
Yunjing Meng - Toledo OH, US
Qichao Zhao - Toledo OH, US
Assignee:
The University of Toledo - Toledo OH
International Classification:
B01J 20/26
B01J 20/28
C08F 226/06
Abstract:
Polymeric ionic liquids, methods of making and methods of using the same are disclosed.

Method And System For Lesion Detection In Ultrasound Images

US Patent:
2015008, Mar 26, 2015
Filed:
Sep 21, 2013
Appl. No.:
14/033452
Inventors:
- Schenectady NY, US
Pavan Kumar Veerabhadra Annangi - Bangalore, IN
Xiaoxing Li - Cupertino CA, US
Vidya Pundalik Kamath - Clifton Park NY, US
Fei Zhao - Schenectady NY, US
Vivek Prabhakar Vaidya - Bangalore, IN
Soma Biswas - Karnataka, IN
Assignee:
General Electric Company - Schenectady NY
International Classification:
A61B 8/08
G06T 7/00
US Classification:
600443
Abstract:
A method is provided for detecting lesions in ultrasound images. The method includes acquiring ultrasound information, determining discriminative descriptors that describe the texture of a candidate lesion region, and classifying each of the discriminative descriptors as one of a top boundary pixel, a lesion interior pixel, a lower boundary pixel, or a normal tissue pixel. The method also includes determining a pattern of transitions between the classified discriminative descriptors, and classifying the candidate lesion region as a lesion or normal tissue based on the pattern of transitions between the classified discriminative descriptors.

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