Research Interest:
Analog/mixed-signal circuit design, wireless miniaturized neural recording system, energy-efficient deep learning hardware, and ultra-low power sensor node.
Current Research:
A miniaturized wireless neural recording IC for motor prediction with optical power and data telemetry
An energy efficient all-analog machine learning accelerator
A sub-nW gate-leakage-based timer for ultra-low power sensor nodes