Research
My research spans ultrasonics, vibroacoustics, and signal processing — bridging fundamental wave physics with practical system development. Below is an overview of my research philosophy and active areas of expertise.
Research Philosophy
Research Areas & Expertise
Wearable Ultrasound Sensing
Engineering wearable ultrasound transducer sensing for AR/VR platforms. Expertise in multi-element system optimization, beamforming parameter tuning, Doppler-based motion rejection, and SVD-based clutter filtering for high-sensitivity physiological monitoring.
Transcranial Ultrasound Therapy
Developing acoustic hologram-based systems for non-invasive brain therapy. Implementing heterogeneous angular spectrum approaches for skull aberration correction, beamforming sequence optimization, and parametric array techniques for trans-skull monitoring.
Signal & Image Processing
SVD-based spatiotemporal filtering, strain imaging and elastography, Doppler flow processing, advanced beamforming (delay-and-sum, angular spectrum), and ultrafast high-frame-rate acquisition for transient event capture and volumetric image reconstruction.
Vibroacoustic Modeling & NVH
Experimental modal analysis, structural noise transfer path quantification, and active noise control with embedded DSP. Industry experience in powertrain NVH optimization, psychoacoustic tuning, and real-time adaptive filtering (FxLMS) on TMS320 platforms.
Neuromodulation Biophysics
Exploring biophysical mechanisms of ultrasound neuromodulation using high-frame-rate (ultrafast) acquisition to capture transient neural responses. Developing novel tools to control neuronal circuits, advancing non-invasive brain modulation.
Simulation & Scientific Computing
GPU-accelerated nonlinear wave propagation, differentiable physics simulators, data-driven acoustic modeling, machine vision, imaging with learned models, optimization techniques, and model order reduction.