Current Research Projects

The nervous system can rapidly select important information from a visual scene and pay attention to it. Bottom-up saliency models use low-level features such as intensity, color, and orientation to generate a saliency map that predicts human fixations.

Creating biologically-plausible Simultaneous Localization And Mapping (SLAM) and navigation algorithms based on rodent hippocampus and entorhinal cortex.

A micro-scale implantable bead that is small enough (<100 µm in diameter) so that multiple devices, potentially swarms of them, can be “injected” into the brain at different locations for neural recording and stimulation.

An ultrasound tool tracking system with active echo elements, mid-plane detection, time/frequency modulation and arbitrary pattern injection functions.

Investigating new bioelectronic approaches to pancreatic stimulation for diabetes control.

Past Research Projects

Implementing temporal compressed sensing with pixel-wise coded exposure in an all-CMOS chip for high-framerate, low-power imaging.

Using compressed-sensing techniques to condense entire neural signal waveforms with efficient on-chip circuits.