Connecting physical systems with intelligent models.
I design and measure RF systems, structure experimental data, and build models that help interpret biomedical behavior.
Research system
From geometry to evidence
My work follows one connected engineering loop rather than separate RF and data-science tracks.
HFSS design
Catheter electrodes and assemblies
Manufacturing
Validated geometry released
RF measurement
VNA, S-parameters, oscilloscope
Signal analysis
Filtering and data integration
ML interpretation
Lesion depth and microbubbles
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Research direction
Where the work is headed
RF & Biomedical Systems
HFSS-based catheter and antenna design, VNA measurements, S-parameters, RF filtering, and experimental signal analysis.
Machine Learning & Signal Analysis
Predictive modeling and statistical analysis for physical measurements, biomedical experiments, time-series data, and computer-vision systems.
Data Engineering & Scientific Computing
Python and SQL pipelines, data validation, cloud platforms, APIs, dashboards, and reproducible workflows for engineering data.
Research & Publications
Research interests spanning intelligent RF sensing, hardware-integrated ML systems, signal processing, and AI-enabled biomedical devices.