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Vincent Jian Huang, 59340 Castro St, Mountain View, CA 94041

Vincent Huang Phones & Addresses

811 Dana St, Mountain View, CA 94041    650-5649983   

Foster City, CA   

San Francisco, CA   

Russellville, MO   

North Las Vegas, NV   

Verona, WI   

Mentions for Vincent Jian Huang

Career records & work history

Medicine Doctors

Vincent Huang

Specialties:
Physical Medicine & Rehabilitation
Work:
Burke Rehabilitation Hospital
785 Mamaroneck Ave, White Plains, NY 10605
914-5972500 (phone) 914-5972817 (fax)
Education:
Medical School
St. George's University School of Medicine, St. George's, Greneda
Graduated: 2008
Languages:
English, German, Italian, Spanish
Description:
Dr. Huang graduated from the St. George's University School of Medicine, St. George's, Greneda in 2008. He works in White Plains, NY and specializes in Physical Medicine & Rehabilitation. Dr. Huang is affiliated with Burke Rehabilitation Hospital.
Vincent Huang Photo 1

Vincent Huang

License Records

Vincent J Huang

Licenses:
License #: E087259 - Active
Category: Emergency medical services
Issued Date: Dec 27, 2011
Expiration Date: May 31, 2018
Type: Los Angeles County EMS Agency

Vincent Huang resumes & CV records

Resumes

Vincent Huang Photo 42

Vincent Huang - Alameda, CA

Work:
Piazza Wholesale (The Oakland Flower Market) Jun 2006 to 2000
Assistant Manager
Education:
College of Alameda - Alameda, CA 2015
AA in Computer Information Systems
Skills:
- Experienced with MS-DOS, Win3.1, Win95, Win98, WinXP, Win2000, Vista, Win7, Win8, and Microsoft Office.<br/>- Basic Linux, Python, C++ and scripting skills. Took classes and self-taught.<br/>- Networking, DNS, workgroups, routers, hubs/switches, in-wall wiring, and network cabling.<br/>- Excellent typist (70 WPM).

Publications & IP owners

Us Patents

X-Ray Laser Microscopy System And Method

US Patent:
2018002, Jan 25, 2018
Filed:
Sep 23, 2017
Appl. No.:
15/713645
Inventors:
- Cupertino CA, US
Vincent Huang - Cupertino CA, US
Hanjie Zou - Chengdu, CN
Eileen Guo - Palo Alto CA, US
Ruibo Wu - Saratoga Springs UT, US
International Classification:
A61B 6/00
G01N 23/20
G21K 7/00
Abstract:
Improved system and method of X-ray laser microscopy that combines information obtained from both X-ray diffraction and X-ray imaging methods. The sample is placed in an ultra-cold, ultra-low pressure vacuum chamber, and exposed to brief bursts of coherent X-ray illumination further concentrated using X-ray mirrors and pinhole collimation methods. Higher resolution data from a sample is obtained using hard X-ray lasers, such as free electron X-ray lasers, and X-ray diffraction methods. Lower resolution data from the same sample can be obtained using any of hard or soft X-ray laser sources, and X-ray imaging methods employing nanoscale etched zone plate technology. In some embodiments both diffraction and imaging data can be obtained simultaneously. Data from both sources are combined to create a more complete representation of the sample. Methods to further improve performance, such as concave or curved detectors, improved temperature control, and alternative X-ray optics are also disclosed.

Monitoring Individual And Aggregate Progress Of Multiple Team Members

US Patent:
2016026, Sep 8, 2016
Filed:
Mar 2, 2016
Appl. No.:
15/059120
Inventors:
- Redwood City CA, US
Ciara Peter - San Francisco CA, US
Bradley Yoo - Palo Alto CA, US
Vincent Huang - San Mateo CA, US
Randall Hom - San Francisco CA, US
International Classification:
G06Q 10/06
Abstract:
Systems and methods are described to intelligently determine adjusted real time probabilities that various task assignments will be completed by corresponding deadlines and, therefore, whether an overall team objective that the various tasks are designed, in the aggregate, to achieve. Determinations may be based in part on recent computing activity associated with data files of individual tasks. In particular, data files that correspond to individual tasks may be flagged as such by a service provider that may then track computer based activity such as increased data size of files or increased frequency of save event. By tracking which do not have a predetermined level of computing activity with regard to associated data files these tasks may be identified and resolved.

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