Noah Johnson

My research with the Smart Networking and Computing Lab centers on Neural Network Task Partitioning. I am working to reduce the latency in mobile object recognition applications by optimizing client-server communication, and exploring load balancing within the context of Neural Networks.

Assisted undergraduate students with a variety of topics, from fundamentals of circuit design to Electronic Design Automation Principles using VHDL. Taught several sections of Sophomore and Junior level lab-based classes and hosted office hours to further assist students with tutoring or other miscellaneous tasks.

Designed and implemented FPGA-based architecture using VHDL and Xilinx Vivado Tools. Wrote firmware to support control of waveform parameters using C and Vivado SDK. Assisted in writing PC based application for fine control of waveforms using C#.

Serviced/optimized hardware and software daily for students/faculty. Honed communication and teamwork skills

I worked closely with the electrical engineering and production teams to develop production testing hardware and methodology for safe product deployment. I honed my skills in PCB soldering and circuit diagnosis through RMA repair work. I developed 3 different Windows applications for control of production testing hardware, which allowed for parallel control of several test-benches at once. These test-benches were to be used by the contracted board fabricator to test newly made units. The combination of the test-benches and accompanying software allowed for an over 100% improvement in production testing productivity, due to reduced time to deployment, greater testing accuracy, and reduced labor costs paid to board fabrication facility.