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Vadum, Inc.
UEI: V1NUDAVNFVK1
# of Employees: 55
HUBZone Owned: No
Socially and Economically Disadvantaged: No
Woman Owned: No
Award Charts
Award Listing
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Current Source for Magnetic Sensor
Amount: $499,968.20Vadum will develop a Scalable Integrated Magnetic Sensing System (SIMSS) that detects and classifies solid explosive substances with up to 10 inches of standoff in buried or concealed non-metallic hou ...
SBIRPhase II2019Department of Defense Army -
Computing with Neural Networks/VadumSecure
Amount: $224,990.00Vadum will develop and test Cryptography Hidden In Plain Sight (CHIPS) – a novel technique for secure computing with neural networks used in computer vision applications. The technique transfor ...
SBIRPhase I2019Department of Defense Office of the Secretary of Defense -
Tracking Algorithm(s) for Determining Highest Probability Predicted Intercept Points(s) in the AEGIS Combat System
Amount: $1,499,985.00Vadum will develop and mature the Threat Prediction for Air Defense (TPAD) algorithms which calculate Predicted Intercept Points (PIPs) to support AEGIS Combat System engagements of air defense threat ...
SBIRPhase II2019Department of Defense Navy -
Scheduling Algorithm for Efficient and Effective Predicted Intercept Points (PIPs) for Multiple Targets
Amount: $1,499,985.00Vadum will develop the Prediction, Optimization, and Scheduling of System Engagements (POSSE) algorithms in order to efficiently and effectively schedule AEGIS Combat System engagements of closely spa ...
SBIRPhase II2019Department of Defense Navy -
Distributed Communications & Electronic Warfare
Amount: $224,983.00Vadum will develop and simulate a new beamforming protocol for Distributed Communications and Electronic Warfare (DCEW) that will implement distributed TX and RX beamforming algorithms between a clust ...
SBIRPhase I2018Department of Defense Navy -
Tracking Algorithm(s) for Determining Highest Probability Predicted Intercept Points(s) in the AEGIS Combat System
Amount: $124,986.00Vadum will develop a suite of algorithms that generate optimal Predicted Intercept Points (PIP) for the Aegis Weapons System (AWS). The Threat Prediction for Air Defense (TPAD) system will analyze kin ...
SBIRPhase I2018Department of Defense Navy -
Scheduling Algorithm for Efficient and Effective Predicted Intercept Points (PIPs) for Multiple Targets
Amount: $124,981.00Vadum will develop a suite of algorithms that generate optimal engagement scheduling for the Aegis Weapons System (AWS) when faced with threats arriving in a swarm or raid. The Prediction, Optimizatio ...
SBIRPhase I2018Department of Defense Navy -
Techniques for Real-time Hypervelocity Projectile fly-out Generation and Optimization
Amount: $149,975.00Vadum will develop an algorithm to generate and optimize Hypervelocity Projectile (HVP) trajectories as both an analysis and tactical battle management tool. The Optimal Advanced HVP Trajectory System ...
SBIRPhase I2018Department of Defense Missile Defense Agency -
Novel Battle Damage Assessment Using Sensor Networks
Amount: $149,995.00Vadum will develop a Statistical Resource Flow (SRF) software application fusing sensor measurements and simulations to estimate High Power Electro-Magnetic (HPEM) weapon effectiveness. The analysis u ...
SBIRPhase I2018Department of Defense Air Force -
Data tools for the Army Basic Training Environment
Amount: $99,993.45Leveraging previous efforts, Vadum will develop a Service Oriented Architecture (SOA) to track, manage and improve the performance of trainees in a Basic Combat Training (BCT) environment. The archite ...
SBIRPhase I2018Department of Defense Army
