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Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-21-C-0866
Agency Tracking Number: N21B-T024-0084
Amount: $239,924.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N21B-T024
Solicitation Number: 21.B
Solicitation Year: 2021
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-09-28
Award End Date (Contract End Date): 2022-12-14
Small Business Information
3600 Green Court Suite 600
Ann Arbor, MI 48105-1111
United States
DUNS: 009485124
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Victor Hung
 (407) 602-6140
Business Contact
 Christian Thomas
Phone: (321) 355-0231
Research Institution
 Embry-Riddle Aeronautical University
 Trish Ripa
1 Aerospace Blvd.
Daytona Beach, FL 32114-3910
United States

 (386) 323-8239
 Nonprofit College or University

The Naval Aviation Training Systems and Ranges program office (PMA-205) operates in data-rich information system environments, generating substantial volumes of data throughout its training and operational missions. These datasets can prove extremely useful in identifying performance trends of trainees or operational gaps in aviation assets. Due to sheer magnitude, sifting and analyzing of these data is a monumental task that only makes sense to be automated through computational methods, namely artificial intelligence/machine learning (AI/ML). This STTR topic reflects the PMA-205 need for a large dataset processing capability that ingests volumes of disparate aircrew training data streams to perform predictive analyses. With such a framework, Naval Aviation stakeholders, such as Chief of Naval Air Training (CNATRA) and Maritime Patrol Reconnaissance Force (MPRF), can be empowered with an intelligent AI/ML tool that can perform this data sifting and predictive analysis in an efficient and expedited manner. Soar Technology Inc. (SoarTech), with its academic partner Embry Riddle Aeronautical University (ERAU) and Naval aviation subject-matter expert (SME) team, Aviation Systems Engineering Company (ASEC), propose the Aggregated Data Evaluation & Prediction Tool (ADEPT). ADEPT is a data analyst-facing assistive software that processes aggregated, disparate domain-specific data streams from Navy data stores and enables predictive analysis and experimentation through ML modeling of these data, as directed by its SME human analyst user.

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

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