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UH lands historic $63.5M contract with DOD for 'future battlefield' tech development
The University of Houston was recently awarded its largest grant in history—this time, from the U.S. Department of Defense.
The $63.5 million contract aims to support UH in developing analytical modeling and simulation platforms that help the U.S. Army make timely and effective decisions, according to a release from UH.
Craig Glennie, professor of civil and environmental engineering and director of engineering defense research initiatives at the UH Cullen College of Engineering, who is leading the project, says the team's work will focus on creating tools for the time period before conflict begins.
Craig Glennie, professor of civil and environmental engineering and director of engineering defense research initiatives at the UH Cullen College of Engineering, is leading the project. Photo courtesy of University of Houston
“We are not looking at what happens once bullets start flying. We are looking at what happens during the competition and crisis phases, the buildup and the posturing and the projection of forces before you actually get to the point of armed conflict,” he says in a statement. “The Army needs tools to understand how they can effectively position themselves and project their force towards the adversary in such a manner that they can avoid armed conflict, or if that is not possible, be prepared for the onset of armed conflict.”
The Army will utilize the partners' realistic modeling, analysis, and simulation tools for use in the "future battlefield."Photo courtesy of Department of Defense
The team, which also includes members from the University of Massachusetts Amherst, New Mexico State University and other organizations, will work closely with the U.S. Army Combat Capabilities Development Command Analysis Center, known as DAC. They've been commissioned to help build realistic modeling, analysis and simulation tools that the Army can use in the "future battlefield."
DAC has named several high priority issues for the team including quantum technology, artificial intelligence, and machine learning.
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