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Verus Research announces $2.5 million Defense Department contract
Hank Andrews, left, managing director for Verus Research and Dr. Sameer Hemmady, senior director for the Advanced Concepts Lab, discuss applications of different equipment in the Verus laboratory in Albuquerque in 2021.
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Verus Research, an Albuquerque-based team of scientists and engineers specializing in advanced research and development, was awarded a $2.5 million science and technology contract with the Defense Department’s Test Resource Management Center .
The 18-month agreement will support TRMC’s need for high-power microwave attack instrumentation on medium unmanned aerial systems, or drones.
Verus Research will develop a minimally-invasive, high-power microwave sensor for use against unmanned aerial systems. The sensor is considered groundbreaking because of its small size and technical ability. It will capture the waveform characteristics of high-powered microwave action in testing situations, a company official said.
“Verus Research is honored to receive a new HPM contract that continues our research and development work with the Defense Department and leverages many of our existing HPM sensor systems currently in use by our customers,” said J. Mark DelGrande, chief technology officer at Verus Research.
Verus’ work includes advanced research and technology, modeling and simulation architecture, tactical systems development and testing and strategic systems engineering.
Its clients include defense contractors, military organizations and the armed services, aerospace organizations, technology companies and the national laboratories.
It’s been a season of success for the company.
On May 2, the company announced a new $28 million contract with the U.S. Army to support the Defense Department TRMC. And in April, it received a new million-dollar contract with the Air Force Research Laboratory’s Space Vehicles Directorate to continue the development of its Sat-SAM software that receives satellite telemetry and runs analysis to detect, identity and predict failures and anomalies.
