Technical depth

Enough depth to work inside the problem—not only around it.

My technical background is strongest in acoustics, vibrations, sensing and data-driven engineering, with hands-on work spanning experiments, simulation, signal processing, statistics, optimization and software.

Physical systems

Acoustics & vibrations

Structural vibration, sound radiation, transmission paths, experimental acoustics, cabin acoustics and ultrasonic systems.

USMW monitoringCabin sound
Experiments

Measurements & instrumentation

Experimental design, laser Doppler vibrometry, acoustic measurements, measurement-system development, data acquisition and validation planning.

Measurement chain
Data

Signal processing & statistics

Filtering, FFT and wavelet analysis, feature engineering, correlation and statistical inference, robust regression and process-stage detection.

ML modeling & evaluationSee the pipeline
Models

Modeling & simulation

Structural and acoustic simulation, transfer functions, equivalent mechanical models and data-calibrated cabin-sound estimation.

Mechanical modelCabin model
Inference

Optimization & model fitting

Constrained parameter search, least-squares calibration, model-to-measurement fitting and using domain knowledge to reduce under-constrained search spaces.

Trim-factor calibrationUSMW fitting
Implementation

Software & technical tools

MATLAB, Python, C#, MySQL, XML and Excel-based engineering tools. The implementation choice follows the environment: maintainability and adoption matter as much as technical elegance.