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Barbara Susan Guzak

from Coppell, TX
Age ~70

Barbara Guzak Phones & Addresses

  • 722 Penfolds Ln, Coppell, TX 75019 (972) 462-1838
  • 515 Greenwich Ln, Coppell, TX 75019 (972) 462-1838
  • Dallas, TX
  • Addison, TX
  • Cape Canaveral, FL
  • 722 Penfolds Ln, Coppell, TX 75019

Work

Company: Ibm Jan 2016 Position: Retired from ibm

Education

Degree: Master of Business Administration, Masters School / High School: Southern Methodist University - Cox School of Business 1981 to 1984 Specialities: Management

Skills

Enterprise Architecture • Soa • Solution Architecture • It Strategy • Integration • Business Intelligence • Requirements Analysis • Middleware • Business Analysis

Ranks

Certificate: Project Management Professional

Emails

Industries

Information Technology And Services

Resumes

Resumes

Barbara Guzak Photo 1

Barbara Guzak

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Location:
Indian Harbour Beach, FL
Industry:
Information Technology And Services
Work:
Ibm
Retired From Ibm
Education:
Southern Methodist University - Cox School of Business 1981 - 1984
Master of Business Administration, Masters, Management
University of Miami 1972 - 1976
Bachelors, Bachelor of Science, Computer Science
Satellite High School
Southern Methodist University
Master of Business Administration, Masters
Skills:
Enterprise Architecture
Soa
Solution Architecture
It Strategy
Integration
Business Intelligence
Requirements Analysis
Middleware
Business Analysis
Certifications:
Project Management Professional
Project Management Institute

Business Records

Name / Title
Company / Classification
Phones & Addresses
Ms. Barbara Guzak
Secretary/Treasurer
Discount Model Trains
Hobby & Model Construction Supplies - Retail. Toys - Retail. Craft Supplies
4641 Ratliff Ln, Addison, TX 75001
(972) 931-8135, (972) 931-5384

Publications

Us Patents

Multiple Sensory Channel Approach For Translating Human Emotions In A Computing Environment

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US Patent:
20140068472, Mar 6, 2014
Filed:
Nov 4, 2013
Appl. No.:
14/071148
Inventors:
BARBARA S. GUZAK - COPPELL TX, US
HUNG-TACK KWAN - COPPELL TX, US
JANKI Y. VORA - COPPELL TX, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - ARMONK NY
International Classification:
G06F 3/0484
US Classification:
715764
Abstract:
Sensory inputs of a user can be received by a computing device. At least one of the sensory inputs can include a physiological input providing a physiological measurement from a body of the user. Each sensory input can be processed in a unique one of a set of standards-defined sensory channels, each corresponding to a specific emotion dimension. Processing the sensory inputs can transform the physiological measurement into an emotion dimension value. The emotion dimension values from each of the sensory channels can be aggregated to generate at least one emotion datum value, which is a standards-defined value for an emotional characteristic of the user. Historical data for a user can be optionally collected and used by a learning and calibration component to improve the accuracy of the generated emotion datum values for a specific individual. A programmatic action driven by the emotion datum value can be performed.

Multiple Sensory Channel Approach For Translating Human Emotions In A Computing Environment

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US Patent:
20110040155, Feb 17, 2011
Filed:
Aug 13, 2009
Appl. No.:
12/540735
Inventors:
BARBARA S. GUZAK - COPPELL TX, US
HUNG-TACK KWAN - COPPELL TX, US
JANKI Y. VORA - COPPELL TX, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - ARMONK NY
International Classification:
A61B 5/00
G06F 3/048
US Classification:
600300, 715757
Abstract:
Sensory inputs of a user can be received by a computing device. At least one of the sensory inputs can include a physiological input providing a physiological measurement from a body of the user. Each sensory input can be processed in a unique one of a set of standards-defined sensory channels, each corresponding to a specific emotion dimension. Processing the sensory inputs can transform the physiological measurement into an emotion dimension value. The emotion dimension values from each of the sensory channels can be aggregated to generate at least one emotion datum value, which is a standards-defined value for an emotional characteristic of the user. Historical data for a user can be optionally collected and used by a learning and calibration component to improve the accuracy of the generated emotion datum values for a specific individual. A programmatic action driven by the emotion datum value can be performed.
Barbara Susan Guzak from Coppell, TX, age ~70 Get Report