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Engineering | Undergraduate Research

Internet of Environmental Sensors

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This project will develop algorithms for low power FPGA and microcontrollers for sensing electric, magnetic, acoustic and seismic fields in the environment. The goal is to minimize power consumption, memory, logic units, multipliers, floating point operations, etc. while maintaining accuracy.

Additional Information: beginning Spring 2022, 10 hours/week, FURI/MORE eligible

Student Qualifications: Student must know Verilog and be comfortable programming micro-controllers. U.S. citizens, U.S. nationals, or permanent residents of the United States required since this is a US Army collaboration.

Please submit resume and transcripts to: Professor: David Allee (

Lab website:


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