UNIVERSITY TECHNICAL SERVICES, INC. — Department of Defense SBIR Phase I: MDA22-006
UNIVERSITY TECHNICAL SERVICES, INC. — SBIR Phase I award from Department of Defense.
Phase I SBIR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from Department of Defense in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $149,970. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code MDA22-006 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $149,970
- Agency
- Department of Defense · Missile Defense Agency
- Program / Phase
- SBIR · Phase I
- Topic
- MDA22-006
- Solicitation
- 22.1
- NAICS
- —
- Place of performance
- MD
- Period
- 2022-07-25 → 2023-01-24
Description
Discovering anomalies in land, sea, air, and space is a critical task for Situational Awareness activities. It is also an important enabler for maritime and airspace security operations. Artificial Intelligence and Machine Learning (AI/ML) algorithms can be applied to learn the regular behavior, track targets of interests, and identify anomalies in these domains. Specifically, unsupervised learning techniques can be applied to large dataset (without labels) to learn the normal traffic behavior and extract contextual information as a base to learn patterns of life. University Technical Services, Inc. (UTS) along with its subcontractor University Research Foundation (URF) proposes to design and implement the Hierarchical Artificial Intelligence-Based Algorithms for Target Identification & Tracking and Anomaly Detection in Congested Environments (HABIT) software solution. Approved for Public Release | 22-MDA-11215 (27 Jul 22)