About Me

I am a Mechanical Engineer with a Ph.D. from the Georgia Institute of Technology and over a decade of R&D experience spanning academia and industry. My research focuses on vibroacousitcs and transcranial ultrasound for imaging and therapy. Most recently, as a Research Scientist Intern at Meta Reality Labs Research, I developed wearable ultrasound sensing technologies for augmented reality and robotics platforms, including compact transducer arrays, Doppler-based motion rejection algorithms, and SVD-based signal filtering pipelines. My doctoral work at Georgia Tech centered on transcranial focused ultrasound therapy, where I designed acoustic hologram systems, implemented aberration correction through heterogeneous skull bone, and built passive acoustic mapping tools for non-invasive brain treatment monitoring. Across all of these efforts, I combine rigorous computational modeling with hands-on hardware prototyping to translate complex acoustics challenges into practical engineering solutions.

Research Philosophy

My research philosophy centers on bridging fundamental wave physics, solid mechanics and vibroacoustics with practical engineering solutions. Whether developing wearable ultrasound sensors or advancing non-invasive brain therapies, I combine rigorous experimentation with high-fidelity computational modeling to tackle complex challenges. My interdisciplinary background — spanning nonlinear acoustics, multi-channel array systems, embedded DSP, and signal processing — enables me to approach problems end-to-end, from transducer design through algorithm development to system validation. I believe the most impactful research emerges at the intersection of disciplines, and I thrive in collaborative environments that bring together academic researchers and industry partners.

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.

Transducer Arrays Beamforming Doppler Processing SVD Filtering Sensor Prototyping

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.

Verasonics Aberration Correction Acoustic Holography Passive Acoustic Mapping Ultrafast Imaging

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.

SVD Filtering Strain Imaging Elastography DIC FxLMS ADC/DAC

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.

Modal Analysis Laser Vibrometry ANC Psychoacoustic Tuning Embedded DSP

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.

Ultrafast Acquisition Neural Circuits Verasonics Real-time Data

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.

Python MATLAB C/C++ GPU Computing COMSOL Ansys Simulink SolidWorks

Let's Connect

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Pradosh P. Dash