Education
Georgia Institute of Technology
Doctor of Philosophy — Ph.D., Mechanical Engineering
Grade: 4.0/4.0
Thesis: Transcranial Focused Ultrasound Therapy and Monitoring Using Nonlinear Acoustics
Advisor: Costas D. Arvanitis
Coursework: Acoustics-I, Acoustics-II, Non-linear Acoustics, Acoustic Transducers and Signal Analysis, Dynamics, Quantitative Neuroscience, Medical Imaging, Imaging with Data-driven Models, Finite Element Methods, Vibration of Mechanical Systems, Machine Vision, Optimization Techniques in Engineering
Virginia Tech
Master of Science — M.S., Mechanical Engineering
Grade: 4.0/4.0
Thesis: Operational Modal Analysis of Rolling Tire: A Tire Cavity Accelerometer Mediated Approach for Structure Borne Noise Prediction
Advisors: Ricardo Burdisso & Pablo Tarazaga
National Institute of Technology Rourkela
Bachelor of Technology, Mechanical Engineering
Grade: 9.7/10 (Valedictorian)
Thesis: Design of Piezoresistive MEMS Accelerometer With Optimized Device Dimensions
Advisor: Subrata Panda
🥇 University Gold Medalist · Felicitated by the President of India
Professional Journey
Research Scientist Intern
Meta Platform Inc. · Reality Labs Research
Confidential R&D Project (Details under NDA)
- Engineered high-performance ultrasonic sensors and signal processing algorithms for wearables and robotic sensing, leveraging expertise in acoustics, sensor physics, system optimization, and real-time analysis.
- Led sensor characterization and algorithm development, driving performance gains through rapid iteration and creating custom imaging tools for system validation.
- Developed Doppler-based motion rejection algorithms to suppress motion artifacts in dynamic wearable environments.
- Collaborated with cross-functional teams in an agile environment to solve complex sensing challenges, advancing projects from initial concept to validated prototype.
Graduate Research Assistant
Georgia Institute of Technology · Ultrasound Biophysics & Bioengineering Lab
- Transcranial Ultrasound Imaging & Therapy: Developed and experimentally validated fast aberration correction algorithms using differentiable acoustic propagators and multi-channel transducer arrays (Verasonics). Implemented GPU-accelerated nonlinear wave propagation simulations for heterogeneous skull bone. Designed beamforming sequences and optimized acoustic hologram topologies for trans-skull focused ultrasound.
- Signal & Image Processing: Applied SVD-based spatiotemporal filtering, strain imaging techniques, and advanced beamforming (delay-and-sum, angular spectrum) for transcranial passive acoustic mapping and volumetric image reconstruction.
- Neuromodulation Biophysics: Explored biophysical mechanisms of ultrasound neuromodulation using ultrafast acquisition to capture transient neural responses. Developed novel tools to control neuronal circuits.
Graduate Research Assistant
Virginia Tech · Center for Tire Research (CenTiRe) / Vibration & Acoustics Lab
- Developed experimental and numerical procedures for vibro-acoustic measurement of rolling tires and data-driven modeling for structure-borne noise prediction.
- Experimental modal analysis using laser vibrometry and tire cavity accelerometer arrays under realistic speeds, loads, and excitations.
- Designed a semi-active tuned absorber to reduce rest tremors in Parkinson's patients.
Summer Intern
Maxxis International-US · Tire NVH/Dynamics Group
- Improved Maxxis Modal Analysis Procedure and validation; conducted repeatability trials with different boundary conditions.
- Identification of complex, coupled tire mode shapes and modal parameter characterization for structure-borne noise identification.
Bajaj Auto Ltd.
Assistant Manager (R&D) — Noise & Vibration
- Designed engine–chassis layouts ensuring NVH compliance and seamless powertrain integration for commuter bikes.
- Conducted end-to-end testing and validation from prototype to production; authored SOPs and validation protocols.
- Tuned exhaust psychoacoustic parameters to balance sound quality, performance, and Pass-by-Noise (PBN) regulations.
- Applied DRBFM failure-mode analysis to resolve field issues and enhance product reliability.
Senior Design Engineer — Powertrain NVH
- Led NVH optimization of powertrain subsystems to improve acoustic performance, durability, and regulatory compliance.
- Developed vibration modeling libraries and applied predictive analytics to refine NVH designs with cross-functional teams.
- Performance and durability testing and validation for the prototype to production batches.
- Design related field failures and Design Review Based on Failure Mode (DRBFM) Analysis.
- Cost Cutting in design, manufacturing, and assembly & Value addition and Value Engineering (VAVE) Proposals.
Graduate Trainee — Active Noise Control & NVH
- Designed and implemented a feed-forward Active Noise Cancellation (ANC) system on a TMS320 DSP platform to abate intake roar in the 0–200 Hz range.
- Developed FxLMS adaptive filtering algorithms achieving 10 dB attenuation in 2nd order noise during steady-state and transient conditions.
- Conducted end-to-end ANC prototype testing, managing signal acquisition (ADC/DAC) and optimizing loop performance for vehicle integration.
- Identified critical structural modes and implemented design modifications to reduce structure-borne noise from combustion and transmission loads.
Summer Research Assistant
Otto-von-Guericke University Magdeburg · DAAD WISE Fellowship
- Involved in development and validation of the International Standard IEC 62714 "Engineering data exchange format for use in industrial automation systems engineering" — AutomationML.
- Working competencies in Modularization methodologies for production systems and Behavior modelling of production system components.
- XML-based system description and component-based library design.