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RaNDL: Rapid Nuclear and seismic events Discriminator and Locator

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-20-C-0329
Agency Tracking Number: F19A-012-0065
Amount: $750,000.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: AF19A-T012
Solicitation Number: 19.A
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-09-25
Award End Date (Contract End Date): 2022-12-25
Small Business Information
2839 Paces Ferry Road Suite 1160
Atlanta, GA 30339-1111
United States
DUNS: 961914884
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Zhigang Peng
 (404) 894-0231
Business Contact
 Dr. Ash Thakker
Phone: (770) 803-3001
Research Institution
 Georgia Tech Applied Research Corporation
 David Walker
926 Dalney St NW
Atlanta, GA 30332-0415
United States

 (404) 894-4911
 Nonprofit College or University

Air Force Technical Applications Center (AFTAC) seeks robust and accurate solutions to monitor seismic signals and flag likely nuclear explosions for human analysts. The current system gets overwhelmed during large earthquake aftershocks, performs poorly for smaller events, and cannot dynamically incorporate new sensors. Global Technology Connection, Inc. and its university partners have demonstrated the feasibility of a deep machine learning tool that can fill these gaps by training on historical datasets with its high accuracy discriminator. In phase II, the team will develop an automated framework that contains a phase associator and search engine that will coordinate with the discriminator. The tool will enable the real-time operation to automate detection, association, geo-location, and event classification using incoming signals from a global network of seismic sensors. This robust and accurate tool would flag highly likely nuclear explosions in supporting AFTAC's mission to monitor nuclear treaty compliance.

* Information listed above is at the time of submission. *

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