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Kevin Fan Phones & Addresses

  • San Mateo, CA
  • Sunnyvale, CA
  • Lawrenceville, NJ
  • Ann Arbor, MI
  • Los Angeles, CA
  • Northridge, CA
  • 10733 Westminster Ave, Los Angeles, CA 90034

Work

Company: United radiant teconology corporation 2009 Position: Engineer in management of information system department

Education

School / High School: Silicon Valley University- San Jose, CA 2012 Specialities: Master of Science in Computer Engineering

Skills

Logic Design • SoC Design • C • Assembly • Verilog • Java Language • Linux • Windows OS.

Languages

English

Specialities

Dentistry

Professional Records

Medicine Doctors

Kevin Fan Photo 1

Dr. Kevin Y Fan, Arcadia CA - DDS (Doctor of Dental Surgery)

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Specialties:
Dentistry
Address:
491 W Longden Ave, Arcadia, CA 91007
Languages:
English

Resumes

Resumes

Kevin Fan Photo 2

Software Engineer

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Location:
309 west Maude Ave, Sunnyvale, CA 94085
Industry:
Computer Software
Work:
Google
Software Engineer
Education:
University of California, Berkeley 2014 - 2018
Westview High School 2010 - 2014
Skills:
Leadership
Mathematics
Microsoft Office
Python
Physics
Java
Powerpoint
Computer Science
Public Speaking
Team Leadership
Electrical Engineering
Music
Computer Hardware
Chemistry
Parkour
Computer Proficiency
Interests:
Children
Education
Environment
Poverty Alleviation
Science and Technology
Disaster and Humanitarian Relief
Health
Languages:
English
Mandarin
Kevin Fan Photo 3

Software Engineer

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Location:
356 east 28Th Ave, San Mateo, CA 94403
Industry:
Computer Software
Work:
Google
Software Engineer

Parakinetics 2009 - 2012
Chief Executive Officer

University of Michigan Aug 2002 - Aug 2008
Graduate Student Research Assistant

Ibm May 2006 - Aug 2006
Research Intern

Microsoft Jun 2003 - Sep 2003
Software Development Engineer Intern
Education:
University of Michigan 2004 - 2008
Doctorates, Doctor of Philosophy, Computer Science, Engineering, Computer Science and Engineering
University of Michigan 2002 - 2004
Master of Science, Masters, Computer Science, Engineering, Computer Science and Engineering
University of California, Los Angeles 1998 - 2002
Bachelors, Bachelor of Science, Computer Science, Engineering, Computer Science and Engineering
Skills:
Software
Languages:
English
Kevin Fan Photo 4

Kevin Fan

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Kevin Fan Photo 5

Kevin Fan Cupertino, CA

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Work:
UNITED RADIANT TECONOLOGY Corporation

2009 to 2011
Engineer in Management of Information System department

MERRY ELECTRONICS Corporation

2005 to 2009
Assistant Engineer in Management of Information System department

Education:
Silicon Valley University
San Jose, CA
2012 to 2013
Master of Science in Computer Engineering

Chaoyang University of Technology
2004 to 2006
Bachelor of Sciense in Information Management

NanKai University of Technology
Nantou, Tw
1995 to 2000
Diploma in Electronic Engineering

Skills:
Logic Design, SoC Design, C, Assembly, Verilog, Java Language, Linux, Windows OS.

Business Records

Name / Title
Company / Classification
Phones & Addresses
Kevin Fan
President
Parakinetics, Inc
Engineering Services
303 Nassau St, Princeton, NJ 08540
(609) 924-2334, (609) 359-0112

Publications

Us Patents

Geohash-Related Location Predictions

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US Patent:
20200260219, Aug 13, 2020
Filed:
Apr 27, 2020
Appl. No.:
16/859797
Inventors:
- San Francisco CA, US
Snir Kodesh - San Francisco CA, US
Jatin Chopra - San Francisco CA, US
Kevin Fan - San Francisco CA, US
Charlie Lin - San Francisco CA, US
Limin Shen - San Francisco CA, US
Dor Levi - San Francisco CA, US
Asif Haque - San Francisco CA, US
Zeynep Erkin Baz - San Francisco CA, US
International Classification:
H04W 4/02
H04W 4/44
H04W 4/029
H04W 4/021
Abstract:
Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Geohash-Related Location Predictions

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US Patent:
20200112826, Apr 9, 2020
Filed:
Nov 19, 2019
Appl. No.:
16/688859
Inventors:
- San Francisco CA, US
Snir Kodesh - San Francisco CA, US
Jatin Chopra - San Francisco CA, US
Kevin Fan - San Francisco CA, US
Charlie Lin - San Francisco CA, US
Limin Shen - San Francisco CA, US
Dor Levi - San Francisco CA, US
Asif Haque - San Francisco CA, US
Zeynep Erkin Baz - San Francisco CA, US
International Classification:
H04W 4/02
H04W 4/021
H04W 4/029
H04W 4/44
Abstract:
Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Geohash-Related Location Predictions

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US Patent:
20190306657, Oct 3, 2019
Filed:
Mar 29, 2019
Appl. No.:
16/369998
Inventors:
- San Francisco CA, US
Snir Kodesh - San Francisco CA, US
Jatin Chopra - San Francisco CA, US
Kevin Fan - San Francisco CA, US
Charlie Lin - San Francisco CA, US
Limin Shen - San Francisco CA, US
Dor Levi - San Francisco CA, US
Asif Haque - San Francisco CA, US
Zeynep Erkin Baz - San Francisco CA, US
International Classification:
H04W 4/02
H04W 4/44
H04W 4/021
H04W 4/029
Abstract:
Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Geohash-Related Location Predictions

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US Patent:
20190037355, Jan 31, 2019
Filed:
Oct 1, 2018
Appl. No.:
16/148633
Inventors:
- San Francisco CA, US
Snir Kodesh - San Francisco CA, US
Jatin Chopra - San Francisco CA, US
Kevin Fan - San Francisco CA, US
Charlie Lin - San Francisco CA, US
Limin Shen - San Francisco CA, US
Dor Levi - San Francisco CA, US
Asif Haque - San Francisco CA, US
Zeynep Erkin Baz - San Francisco CA, US
International Classification:
H04W 4/02
H04W 4/44
H04W 4/021
Abstract:
Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Geohash-Related Location Predictions

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US Patent:
20180288568, Oct 4, 2018
Filed:
Jan 25, 2018
Appl. No.:
15/880396
Inventors:
- San Francisco CA, US
Snir Kodesh - San Francisco CA, US
Jatin Chopra - San Francisco CA, US
Kevin Fan - San Francisco CA, US
Charlie Lin - San Francisco CA, US
Limin Shen - San Francisco CA, US
Dor Levi - San Francisco CA, US
Asif Haque - San Francisco CA, US
Zeynep Erkin Baz - San Francisco CA, US
International Classification:
H04W 4/02
H04W 4/021
Abstract:
Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.
Kevin C Fan from San Mateo, CA, age ~44 Get Report