Hee Sang Kim

US Patent:

7990524, Aug 2, 2011

Filed:

Jun 29, 2007

Appl. No.:

11/771064

Inventors:

Justin E. Jureller - Chicago IL, US
Hee Y. Kim - Chicago IL, US
Norbert F. Scherer - Winnetka IL, US

Assignee:

The University of Chicago - Chicago IL

International Classification:

G01N 1/00

US Classification:

356 36

Abstract:

A rapid-sampling stochastic scanning multiphoton multifocal microscopy (SS-MMM) fluorescence imaging technique enables multiparticle tracking at rates upwards of 1,000 times greater than conventional single point raster scanning. Stochastic scanning of a diffractive optical element may generate a 10×10 hexagonal array of foci with a white noise driven galvanometer to yield a scan pattern that is random yet space-filling. SS-MMM may create a more uniformly sampled image with fewer spatio-temporal artifacts than obtained by conventional or multibeam raster scanning.

US Patent:

20210312058, Oct 7, 2021

Filed:

Apr 7, 2020

Appl. No.:

16/842092

Inventors:

- Northbrook IL, US
William Anthony McCormick - Belfast, IE
Nathan Edward Shock - Aurora IL, US
Elizabeth Ann Kovick - Burbank IL, US
Keling Chen - Scottsdale AZ, US
Hee Yeun Kim - Frisco TX, US
Ryan Kresse - Pittsburgh PA, US
Edward Jay Sabijon - Charleston SC, US

International Classification:

G06F 21/57
G06N 20/00
G06Q 10/06

Abstract:

Methods, computer-readable media, software, and apparatuses may retrieve, from an industry standard setting scoring system and for a vulnerability, a temporal score based on a pre-revision version of a scoring system, and predict, based on a machine learning model and based on the temporal score for the vulnerability, an updated temporal score based on a post-revision version of the scoring system. A mitigating factor score, indicative of a mitigation applied to the vulnerability by an enterprise organization, may be determined. A risk score may be generated for each vulnerability, as a composite of the updated temporal score and the mitigating factor score. The risk scores for vulnerabilities in a collection of vulnerabilities may be aggregated to determine an enterprise risk score for the enterprise organization. In some instances, the enterprise risk score may be displayed via a graphical user interface.