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Contextual Reasoning for Object Identification

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-16-C-7612
Agency Tracking Number: B15C-001-0051
Amount: $99,948.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: MDA15-T001
Solicitation Number: 2016.0
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-04-25
Award End Date (Contract End Date): 2016-11-24
Small Business Information
20921 Houseman Terrace
Ashburn, VA 20148
United States
DUNS: 078727222
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Khurram Hassan-Shafique
 (703) 509-0069
Business Contact
 Khurram Hassan-Shafique
Phone: (703) 509-0059
Research Institution
 Syracuse University
 Dr. Pramod Varshney
113 Bowne Hall
Syracuse, NY 13244
United States

 (315) 443-1060
 Nonprofit College or University

This Small Business Technology Transfer project will develop a mathematical framework and enabling technologies for context-aware target classification and selection for missile defense systems in the presence of counter-measures and clutter in realistic scenarios. Based on statistical relationship learning (SRL) methodology, the proposed framework can reason simultaneously about multiple entries in the threat complex even in the presence of corrupted or missing sensory data. The Phase-I effort will include; development of context-based classification framework based on SRL, quantitative and qualitative evaluation of the proposed technologies, and demonstration of proof of concept using simulated data from multiple use-cases. The project will benefit from Novateur Teams expertise in the areas of radar systems, multi-sensor data and decision fusion, adaptive context-aware system, distributed sensor network and estimation theory. Approved for Public Release 16-MDA-8620 (1 April 16)

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

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