Sentinelone
Senior Manager, Information Security Compliance and Engineering
Nuscale Power Feb 2014 - Apr 2018
Software Security Engineer
Nuscale Power Jul 1, 2010 - Feb 2014
Software Quality Assurance Engineer and Cyber Security Team Lead
Igt Dec 2008 - Jun 2010
Pa Engineer Iii
Wasabi Aug 2008 - Nov 2008
Manager, Qa and Support
Education:
Eastern Oregon University 1981 - 1985
Bachelors, Bachelor of Arts, Bachelor of Science, Mathematics, Physics
Skills:
Testing Quality Assurance Systems Engineering Engineering Integration Software Development Engineering Management Process Improvement Software Quality Assurance Project Management Nuclear Troubleshooting Embedded Systems Requirements Analysis Automation Unix Technical Writing Six Sigma Software Documentation Sql Test Planning R&D Requirements Management System Testing Nuclear Engineering Nuclear Power Plants Power Generation Programming Computer Security Reactor Power Plants Heat Transfer Software Engineering Process Control Agile Methodologies Regulatory Requirements Statistics Electronics Cyber Defense Manufacturing Cybersecurity Nuclear Safety Software Project Management Cyber Security Technical Documentation Spc Windows 7 Requirements Traceability Agile Testing Nqa 1
- Boise ID, US Casey Alexander Harris - Las Vegas NV, US Marc Roger Hayden - Corvallis OR, US Michael Altree - Meridian ID, US
Assignee:
American Pharma Technologies, LLC - Boise ID
International Classification:
G01K 1/02
US Classification:
702130
Abstract:
Methods and systems for determining a temperature of goods in a temperature controlled unit are disclosed. Raw temperature data is received for a first iteration. The raw temperature data indicates an air temperature inside the temperature controlled unit at the first iteration. A property value for a good stored in the temperature controlled unit is obtained. Based on the raw temperature data for the first iteration and the property value for the good, a first adjusted stored goods temperature is determined for the good. The first adjusted stored goods temperature for the good represents a first internal temperature of the good. Additional iterations are performed, where raw temperature data is received for a second iteration. Based on the raw temperature for the second iteration and the property value for the good, a second adjusted stored goods temperature is determined.