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CONTEXTUAL REASONING FOR OBJECT IDENTIFICATION
Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-18-C-7007
Agency Tracking Number: B2-2528
Amount:
$999,514.00
Phase:
Phase II
Program:
STTR
Solicitation Topic Code:
MDA15-T001
Solicitation Number:
2015.0
Timeline
Solicitation Year:
2015
Award Year:
2018
Award Start Date (Proposal Award Date):
2018-04-05
Award End Date (Contract End Date):
2020-04-04
Small Business Information
202 Church St. SE. Ste 307
Leesburg, VA
20175
United States
DUNS:
078727222
HUBZone Owned:
No
Woman Owned:
No
Socially and Economically Disadvantaged:
No
Principal Investigator
Name: Khurram Hassan-Shafique
Phone: (703) 509-0069
Email: kshafique@novateurresearch.com
Phone: (703) 509-0069
Email: kshafique@novateurresearch.com
Business Contact
Name: Zeeshan Rasheed
Phone: (703) 344-8371
Email: zrasheed@novateurresearch.com
Phone: (703) 344-8371
Email: zrasheed@novateurresearch.com
Research Institution
Name: Syracuse University
Contact: Dr. Pramod Varshney
Address:
Phone: (315) 443-1060
Type: Nonprofit College or University
Contact: Dr. Pramod Varshney
Address:
113 Bowne Hall
Syracuse, NY
13244
United States
Phone: (315) 443-1060
Type: Nonprofit College or University
Abstract
This project will develop a statistical-relational framework and enabling technologies for context-aware object classification and selection. The proposed framework is capable of reasoning about the scene as a whole while incorporating the entire corpus of available information including features and classification labels from heterogeneous sensors and properties of other objects in the scene. 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 | 17-MDA-9219 (31 May 17)
* Information listed above is at the time of submission. *