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BioSIGMA: Sensor Expansion and Turbulence Modeling

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W912CG-21-C-0017
Agency Tracking Number: D2-2588
Amount: $1,499,597.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A17A-T020
Solicitation Number: 17.A
Solicitation Year: 2017
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-06-10
Award End Date (Contract End Date): 2024-06-09
Small Business Information
20 New England Business Center
Andover, MA 01810-1111
United States
DUNS: 073800062
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Christian Smith
 (978) 738-8269
Business Contact
 B. David Green
Phone: (978) 689-0003
Research Institution

Physical Sciences Inc. (PSI) proposes the enhancement and maturation of BioSIGMA, a persistent early-warning capability for the detection and identification of aerosolized biological warfare agents. The BioSIGMA technology utilizes PSI’s DisperseNET, an advanced suite of algorithms that correlate spatio-temporal sensor responses with real-time physical dispersion modeling to estimate relevant source terms, including release location and plume extent. BioSIGMA uses this dispersion modeling to power real-time simulations where bio point-sensor and anemometer measurements are then fused within a Bayesian Sequential Estimation framework to reduce alarms from clutter and confusers by an order of magnitude. This capability has been demonstrated to achieve a 1 in 30-day false alarm rate at the network-level. This proposed sequential Phase II effort will update DisperseNET with a machine-learning based computational fluid dynamics solver that is capable of reproducing high-quality outputs on the order of milliseconds, compared to tens of minutes for traditional software. Additionally, the proposed effort will enhance BioSIGMA by implementing simulation support for mobile sensor platforms, and developing a data-driven normalcy modeling approach for BWA confusers in cluttered urban environ­ments. Finally, PSI will update BioSIGMA for enhanced correlation of species identification outputs from emerging BWA sensing technologies.

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

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