About the blog

Our focus is on scientific computing from endpoint through HPC.

In particular:

• endpoint and edge computing: reduce massive amounts of data at the sensor
• scalable OS-agnostic HPC algorithms
• precision radar and passive indoor radar / optical remote sensing
• broadband wireless systems including: broadcast, public safety, two-way voice/data radio, UAS, satellite

Applied mathematics stats:

• Erdős number == 5

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We use comprehensive model-based engineering frameworks to first check feasbility and then turn an idea into a product. Broad engineering expertise combined with years of experience bring quick resolve to vexing system issues for geospace/geoscience research as well as corporate and government entities.

• comprehensive practical and theoretical design experience with RF systems from antenna to CPU and detailed propagation modeling
• remote sensing: radar & radio science–from microwatt to megawatt with EMC mitigation
• remote sensing: optical–terabytes/day reduced 1000x by machine learning/machine vision algorithms using edge computing
• model-based design reduces iterations and speeds path from concept → bench prototype → fielded system
• serves as outside expert for design review, expert witness planning and prototyping (whether research grants or startups)

We work with public safety and transportation entities on their wireless infrastructure, whether in modeling upgrades, solving coverage problems or helping write RFPs and reviewing responses. As an independent voice of experience, we help police, fire, EMS, transit and other public agencies as they maintain and transition from legacy analog radio and data systems to broadband digital networks. We help support agricultural operations from farmers to companies working with and for agricultural advancement as humankind struggles to feed more with less.