Problem or Industrial Need
RF experiments produce instrument data that must be acquired consistently, associated with controlled geometry and transformed into useful engineering evidence.
Engineering or Scientific Solution
An end-to-end VNA/NanoVNA-class workflow combining acquisition, electromechanical positioning, Python processing, comparison and reporting.
Sebastian's Technical Contribution
Developed and integrated the measurement chain, automated scientific processing and connected instrument outputs to material and resonator models.
Methods and Tools Used
- Vector network analyzer acquisition
- S11/S21 processing and resonance-feature extraction
- Python scientific computing and data organization
- Electromechanical positioning, calibration and repeatability analysis
Prototype, Simulation and Experimental Evidence
Complete measurement tool
Instrumentation, positioning and software operated as one characterization workflow.
Repeated laboratory measurements
RF response evaluated across antenna, resonator and material studies.
Measurable Result or Published Finding
Laboratory-to-deployment workflow
Converted advanced EM measurements into a reusable instrument and analysis process.
Diagrams and Publications
Engineering data moves through scientific computation, learning algorithms, validation and physical or digital deployment.
A Free Space Microwave Characterization of CNT-Epoxy Based Nanocomposites Using Two Patch Antennas
Patch-antenna and VNA characterization of nanocomposite electromagnetic response across antenna field regions.
A Contactless Characterization of CNT/Epoxy Nanocomposites Behavior under Acid Exposure
Wireless measurements and multiscale modelling connected acid diffusion with electrical, porosity and RF-response changes.
Role, Team Attribution, Institution and Project Context
Doctoral Researcher and instrument developer; integration of hardware, software and experimental methods.