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Eller College Home > Department of MIS> News and Events > MIS News > Sudha Ram Receives New Grant from US Army
Management Information Systems

Sudha Ram Receives New Grant from US Army

January 7, 2011

Sudha RamCongratulations to Dr. Sudha Ram who has received a new grant as a Co-PI (Co-principal Investigator.)

The grant is an an interdisciplinary project in collaboration with two other University of Arizona departments - the departments of Electrical and Computer Engineering (ECE) and Systems and Industrial Engineering (SIE.)

The grant is sponsored by the US Army. It is a two year grant in the amount of $1,790,664.

Co-PI's include: Jerzy Rozenblit (ECE), Sudha Ram (MIS), Srinivasan Ramasubramanian (ECE), Ferenc Szidarovszky(SIE), Jonathan Sprinkle (ECE), Ali Akoglu (ECE)

Title: Asymmetric Threat Response and Analysis Program (ATRAP) IV

Description: The Asymmetric Threat Response and Analysis Program (ATRAP) is a pioneering computerized military decision aid that will deliver a "cognitive amplifier" for analysts to accelerate intelligence production. ATRAP IV will continue to build on previous three versions of ATRAP with robust maturation of its suite of software tools and the unique predictive model that develops, refines, identifies, and visualizes potential enemy courses of action (ECOA) within a Contemporary Operating Environment. ATRAP IV will include innovative and advanced search, graphic, modeling, and analytic applications to assist in determining, refining, and displaying ECOA along with their corresponding indicators. Moreover, ATRAP IV will be optimized for near real-time data processing and data access in a networked environment, yet still deliver its functionality while running in a disconnected mode. Using the ATRAP tool suite, commanders and staffs will be able to explore and predict potential ECOA within the operational environment and, in turn, use ATRAP output to develop, refine, and confirm friendly courses of action. Dr. Ram’s work will involve developing innovative techniques for provenance management. This includes tracking and harvesting provenance from multiple information sources and to use this provenance appropriately in collaborative decision making environments.

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