Tak C Wong

US Patent:

D605566, Dec 8, 2009

Filed:

Jan 27, 2009

Appl. No.:

29/331464

Inventors:

Tak Chi Wong - La Puente CA, US

International Classification:

1216

US Classification:

D12163, D26 28

US Patent:

D613648, Apr 13, 2010

Filed:

Oct 12, 2009

Appl. No.:

29/345174

Inventors:

Tak Chi Wong - La Puente CA, US

International Classification:

1216

US Classification:

D12163, D26 28

US Patent:

D613649, Apr 13, 2010

Filed:

Oct 12, 2009

Appl. No.:

29/345176

Inventors:

Tak Chi Wong - La Puente CA, US

International Classification:

1216

US Classification:

D12163, D26 28

US Patent:

D624468, Sep 28, 2010

Filed:

Sep 17, 2008

Appl. No.:

29/324685

Inventors:

Tak Chi Wong - La Puente CA, US

International Classification:

1216

US Classification:

D12163

US Patent:

7991689, Aug 2, 2011

Filed:

Jul 23, 2008

Appl. No.:

12/220320

Inventors:

Hakan Olof Brunzell - Costa Mesa CA, US
Arielle Renee Caron - Costa Mesa CA, US
Tak Wun Wong - Costa Mesa CA, US

Assignee:

Experian Information Solutions, Inc. - Costa Mesa CA

International Classification:

G06Q 40/00

US Classification:

705 38

Abstract:

Systems and methods are for, for example, predicting bust out fraud using credit bureau data. In one embodiment, credit bureau scoring models are created using credit bureau data to detect bust out fraud. The credit bureau scoring models may be then applied to consumer data to determine whether a consumer is involved in bust out fraud.

US Patent:

8001042, Aug 16, 2011

Filed:

Oct 13, 2010

Appl. No.:

12/904088

Inventors:

Hakan Olof Brunzell - San Diego CA, US
Arielle Renee Caron - Costa Mesa CA, US
Tak Wun Wong - Culver City CA, US
Anthony J. Sumner - Nottingham, GB

Assignee:

Experian Information Solutions, Inc. - Costa Mesa CA

International Classification:

G06Q 40/00

US Classification:

705 38

Abstract:

Systems and methods are for, for example, predicting bust out fraud using credit bureau data. In one embodiment, credit bureau scoring models are created using credit bureau data to detect bust out fraud. The credit bureau scoring models may be then applied to consumer data to determine whether a consumer is involved in bust out fraud.

US Patent:

8551333, Oct 8, 2013

Filed:

Apr 7, 2008

Appl. No.:

12/594179

Inventors:

Adam Yuh Lin - Irvine CA, US
Tak Sing Wong - Los Angeles CA, US

Assignee:

The Regents of the University of California - Oakland CA

International Classification:

B03C 1/02
C12M 1/00

US Classification:

210222, 252 6251 R, 422 681, 422502, 422504, 422527, 4352872, 4353081, 436526, 436806

Abstract:

A microfluidic device for manipulating particles in a fluid has a device body that defines a main channel therein, in which the main channel has an inlet and an outlet. The device body further defines a particulate diverting channel therein, the particulate diverting channel being in fluid connection with the main channel between the inlet and the outlet of the main channel and having a particulate outlet. The microfluidic device also has a plurality of microparticles arranged proximate or in the main channel between the inlet of the main channel and the fluid connection of the particulate diverting channel to the main channel. The plurality of microparticles each comprises a material in a composition thereof having a magnetic susceptibility suitable to cause concentration of magnetic field lines of an applied magnetic field while in operation. A microfluidic particle-manipulation system has a microfluidic particle-manipulation device and a magnet disposed proximate the microfluidic particle-manipulation device.

US Patent:

20120158574, Jun 21, 2012

Filed:

Jul 19, 2011

Appl. No.:

13/186130

Inventors:

Hakan Olof Brunzell - Costa Mesa CA, US
Arielle Renee Caron - Irvine CA, US
Tak Wun Wong - Culver City CA, US
Anthony J. Sumner - Nottingham, GB

Assignee:

Experian Information Solutions, Inc. - Costa Mesa CA

International Classification:

G06Q 40/02

US Classification:

705 38

Abstract:

Systems and methods are disclosed for predicting bust out fraud using credit bureau data. In one embodiment, credit bureau scoring models are created using credit bureau data to detect bust out fraud. The credit bureau scoring models may be then applied to consumer data to determine whether a consumer is involved in bust out fraud.