Michael’s teaching and outreach approach has at its core open source software and hardware development.
Too many excellent, even world-changing student projects remain in dusty notebooks.
Computer vision algorithms can be applied to a wide variety of radar and radio science measurements.
Michael is contributing to the forefront of software defined radar applications.
Using Raspberry Pi as radar processor for Red Pitaya transmit/receive, an HF ionospheric radar is implemented.
Batteryless status reporting via a radar interrogating tags with sensing elements. Sense temperature, corrosion, presence and more.
The original 2006 tin can radar built for under $50. Perfect for schools and humanitarian relief by detecting people under debris or behind walls.
Algorithms developed for detecting ionospheric returns, using FM broadcast signals as the radar transmitter.