Luis Carlos Vargas

US Patent:

8377123, Feb 19, 2013

Filed:

Nov 10, 2004

Appl. No.:

10/985854

Inventors:

Scott Evans - Santa Ana CA, US
Reza Zadno - Fremont CA, US
Luis Vargas - Irvine CA, US

Assignee:

Visiogen, Inc. - Santa Ana CA

International Classification:

A61F 2/16

US Classification:

623 637, 623 639

Abstract:

A method is provided for implanting an accommodating intraocular lens system in a capsular bag of an eye. The method includes providing the accommodating intraocular lens having an anterior viewing element and a posterior viewing element. The anterior viewing element has a width in a range between approximately 4. 5 millimeters and approximately 6. 5 millimeters. The method further includes forming an opening in an anterior portion of the capsular bag. The opening has a minimum width not less than approximately 4 millimeters and has a maximum width not greater than approximately 6. 0 millimeters. The method further includes placing the accommodating intraocular lens system within the capsular bag. The capsular bag overlaps at least a portion of the anterior viewing element and defines an overlap region with a width in a range between approximately 0. 1 millimeters and approximately 0.

US Patent:

8579970, Nov 12, 2013

Filed:

Jun 27, 2006

Appl. No.:

11/426888

Inventors:

Scott Evans - Santa Ana CA, US
Luis Vargas - Irvine CA, US
Valdemar Portney - Tustin CA, US

Assignee:

Visiogen, Inc. - Santa Ana CA

International Classification:

A61F 2/16

US Classification:

623 613, 623 634, 623 637

Abstract:

A telescopic intraocular lens system comprises a telescopic optical system comprising an anterior optic interconnected with a posterior optic. The optics are substantially aligned on an optical axis of the optical system. The optics are formed from a soft material and the optics are substantially immovable relative to each other along the optical axis in response to accommodative forces of the type observed in the capsular bag of the human eye.

US Patent:

20210264336, Aug 26, 2021

Filed:

Apr 26, 2021

Appl. No.:

17/240058

Inventors:

- New York NY, US
Luis Vargas - New York NY, US
A. Robert Sohval - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies.

US Patent:

20200293963, Sep 17, 2020

Filed:

Jun 1, 2020

Appl. No.:

16/889741

Inventors:

- New York NY, US
Luis Vargas - New York NY, US
A. Robert Sohval - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies.

US Patent:

20190378067, Dec 12, 2019

Filed:

Aug 9, 2019

Appl. No.:

16/537321

Inventors:

- New York NY, US
Luis Vargas - New York NY, US
A. Robert Sohval - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies.

US Patent:

20190147378, May 16, 2019

Filed:

Jan 10, 2019

Appl. No.:

16/244862

Inventors:

- New York NY, US
Luis Vargas - New York NY, US
A. Robert Sohval - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies.

US Patent:

20190034845, Jan 31, 2019

Filed:

Jul 28, 2017

Appl. No.:

15/663541

Inventors:

- New York NY, US
LUIS VARGAS - New York NY, US
A. ROBERT SOHVAL - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies. I

US Patent:

20190034846, Jan 31, 2019

Filed:

Jun 26, 2018

Appl. No.:

16/019243

Inventors:

- New York NY, US
Luis Vargas - New York NY, US
A. Robert Sohval - New York NY, US

International Classification:

G06Q 10/06
H04L 29/06

Abstract:

A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies.