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Bioaerosol Detector Wide Area Network

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911SR-18-C-0019
Agency Tracking Number: A17A-020-0111
Amount: $149,937.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A17A-T020
Solicitation Number: 2017.0
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-12-27
Award End Date (Contract End Date): 2018-05-29
Small Business Information
P.O. Box 2607
Winnetka, CA 91396
United States
DUNS: 082191198
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Scott McGill
 (512) 565-8508
Business Contact
 Julian Clarke
Phone: (818) 885-2232
Research Institution
 RTI International
 Jonathan Thornburg
3040 Cornwallis Road
Research Triangle Park,, NC 27709-2194
United States

 (919) 541-5971
 Domestic Nonprofit Research Organization

Historically, the monitoring and detection of biological threats has been carried out via the deployment of high sensitivity / high complexity monitoring nodes to insure high probability of detection and low false alarm rate. Unfortunately, this detection strategy has inherent limits with respect to coverage and response due to its high deployment/support costs, mandating a new approach to environmental monitoring for bio-aerosol threats. Recent advances in sensors, Internet of Things, and communications have created an opportunity to exploit lower fidelity information but on a much larger scale with respect to node counts and node modalities. The challenge is to harness this higher count / lower fidelity data and convert it into actionable information while maintaining acceptable false alarm rates and response times.Aret Associates and its team member RTI propose an analytical methodology called UBAN, A Ubiquitous Biological Assessment Network.UBAN is a sensor agnostic, highly scalable, self-healing approach to the fusion and conditioning of large and changing environmental data inputs. UBAN is a tiered approach applying simulation, sensor modeling, and field testing to provide performance improvements related to LoD, TTD and FAR.

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

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