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Leonard MacEachern

Associate Professor

Research

Analog, mixed-signal, RF, including ADCs, RFICs, neuromorphic and machine-learning accelerators, photonic-electronic interfaces, biomedical/wearable systems, and adaptive embedded sensing platforms.

Applications

Low-power inference hardware, biomedical instrumentation, wearable sensing, optical interconnects, high-speed mixed-signal systems, FPGA/ASIC acceleration, and intelligent real-time embedded systems.

Selected Activities