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Applying Machine Learning Techniques for Sensitive Spectral Identification and Detection of Hazardous Target Molecules

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: 70RSAT23C00000014
Agency Tracking Number: 22.1 DHS221-005-0005-II
Amount: $999,978.79
Phase: Phase II
Program: SBIR
Solicitation Topic Code: DHS221-005
Solicitation Number: 22.1
Solicitation Year: 2022
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-04-06
Award End Date (Contract End Date): 2025-04-05
Small Business Information
30 West Gude Drive, STE 200
Rockville, MD 20850-1177
United States
DUNS: 196004394
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Eamon DiMilano
 IT Director
 (301) 424-8205
Business Contact
 Eamon DiMilano
Title: IT Director
Phone: (301) 424-8205
Research Institution

Our team has conducted a Phase 1 feasibility analysis of developing an Artificial Intelligence (AI) platform to augment and integrate into currently available biological aerosolized detectors in support of DHS and its BioWatchProgram.The BioWatch program was stood up in the Department of Homeland Security (DHS) in 2003.The program currently operates in more than 30 metropolitan jurisdictions and provides early warning of a bioterrorist attack.Our goal is to significantly increase the capacity and proficiency of these devices by adding AI capabilities through computational spectral analysis.We have aligned our vision with SBIR's three phases.Phase 1 is feasibility, Phase 2 is a functional prototype, and Phase 3 is operational commercialization.Caelum Research Corporation has selected Spectromatics, LLC as a subcontractor for its specific expertise in this research and development effort.

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

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