Vadum, Inc.

Vadum will develop Kill Assessment for Raids using Modeling and simulation-based Analysis (KARMA), an innovative algorithmic capability to rapidly and efficiently detect and count raids of Closely Spa ...

Vadum will develop and implement a novel, unsupervised deep-learning approach to estimate the number of objects in a SAR image automatically, accurately and with low-latency. The approach learns a uni ...

Vadum will implement and test a software capability for rapid matching of time series data to a database of previously observed time series. The Clustered, Shingled Hashing of Random Projections (CSHA ...

Adversary radar jamming capability will greatly increase in the near future.  Improvements in radio frequency (RF) hardware, especially in solid state RF electronics, will lead to improved jammer cap ...

Vadum and North Carolina State University (NCSU) will develop a novel machine-learning enhanced nonlinear RF circuit simulation capability to comprehensively analyze circuit behavior on generic time-f ...

Vadum will develop and simulate a low-overhead beamforming protocol for Distributed Coherent Communications (DC2) using non-developmental waveforms that will enable bi-directional transmit (TX) and re ...

Vadum will design and prototype a compact dual-band Missile Aft Antenna (MAA) that employs an innovative combination of metasurface current steering, ground plane dual-use, and spatial diversity to de ...

Vadum will develop a software-defined electronic warfare (EW) payload to perform Radio Disruption of Electronic Systems (RADES) on small unmanned aircraft systems (UAS).  The innovative Vadum solutio ...

EFP, EFP, Shaped Charge, aiming, disrupter, Robot, EOD, sighting, ranging

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