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Biological Agent Detection Network

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911SR-17-C-0038
Agency Tracking Number: A17A-020-0030
Amount: $149,942.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A17A-T020
Solicitation Number: 2017.0
Timeline
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-09-18
Award End Date (Contract End Date): 2018-04-20
Small Business Information
20 New England Business Center
Andover, MA 01810
United States
DUNS: 073800062
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Christian Smith
 Principal Scientist
 (978) 689-0003
 cwsmith@psicorp.com
Business Contact
 B. David Green
Phone: (978) 689-0003
Email: green@psicorp.com
Research Institution
 University of Notre Dame
 Liz Rulli
 
940 Grace Hall
NOTRE DAME, IN 46556
United States

 (574) 631-6981
 Nonprofit College or University
Abstract

Physical Sciences Inc. in cooperation with University of Notre Dame proposes to develop a method for the persistent surveillance and detection of aerosolized biological warfare agents using a distributed point bioaerosol detector network, local meteorological sensors, existing infrared surveillance cameras, and crowdsourced georeferenced network traffic and phrase monitoring. The proposed technology will utilize a propriety technique for optimal sensor placement, and an urban plume dispersion model to predict concentration profile measurements and sensor intercept times, resulting in networked threat confidence greater than the individual sensor level. A Bayesian classifier will be used to track possible threats and assess the probability that they contain a biological agent. The proposed system is designed as a wide-area surveillance system, where the ultimate goal is timely treatment and post event triage. The specific capability to be developed under this proposed effort is the wide-area point sensor system and accompanying algorithms. In the Phase I effort PSI will design a point sensor network, and develop sensor fusion and biological agent detection algorithms. These algorithms will be validated using a synthetic dataset based chemical agent release measurements, acquired at Dugway Proving Grounds.

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

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