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P03 / research system / experimentally validated

VNA/NanoVNA Measurement and Python Processing Toolchain

A complete experimental workflow from RF acquisition and positioning to repeatable processing and engineering interpretation.

2020-2024Northumbria University, United Kingdom
INTELLIGENT COMPUTATIONAL STACKVNA/NanoVNA Measurement and Python Processing Toolchain
01DATA SOURCEinstrument / sensor / simulation
02MODEL DESIGNfeatures / representations / data pipelines
03AI / ML / DLsupervised / unsupervised / NLP
04SCIENTIFIC CODEPython / MATLAB / CUDA / GPU
05DEPLOYembedded / full stack / digital twin / XR
06VALIDATEmetrics / experiments / real-case feedback

Engineering data moves through scientific computation, learning algorithms, validation and physical or digital deployment.

01

Problem or Industrial Need

RF experiments produce instrument data that must be acquired consistently, associated with controlled geometry and transformed into useful engineering evidence.

02

Engineering or Scientific Solution

An end-to-end VNA/NanoVNA-class workflow combining acquisition, electromechanical positioning, Python processing, comparison and reporting.

03

Sebastian's Technical Contribution

Developed and integrated the measurement chain, automated scientific processing and connected instrument outputs to material and resonator models.

04

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
05

Prototype, Simulation and Experimental Evidence

prototype

Complete measurement tool

Instrumentation, positioning and software operated as one characterization workflow.

experiment

Repeated laboratory measurements

RF response evaluated across antenna, resonator and material studies.

06

Measurable Result or Published Finding

Laboratory-to-deployment workflow

Converted advanced EM measurements into a reusable instrument and analysis process.

07

Diagrams and Publications

INTELLIGENT COMPUTATIONAL STACKVNA/NanoVNA Measurement and Python Processing Toolchain
01DATA SOURCEinstrument / sensor / simulation
02MODEL DESIGNfeatures / representations / data pipelines
03AI / ML / DLsupervised / unsupervised / NLP
04SCIENTIFIC CODEPython / MATLAB / CUDA / GPU
05DEPLOYembedded / full stack / digital twin / XR
06VALIDATEmetrics / experiments / real-case feedback

Engineering data moves through scientific computation, learning algorithms, validation and physical or digital deployment.

08

Role, Team Attribution, Institution and Project Context

Doctoral Researcher and instrument developer; integration of hardware, software and experimental methods.

Connected work

P012020-2024

Portable Microwave and Passive Wireless Sensing Platform

Problem
Conventional material-health assessment can require contact, disassembly or laboratory processing that limits continuous industrial monitoring.
Solution
A portable non-contact microwave sensing architecture that links passive RF structures, instrumentation, controlled positioning and computational analysis.
Evidence / result
1 integrated portable platform
RF architectureVNAchipless resonatorsPython
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P112020-2024

Computational Multiphysics and Experimental Validation

Problem
No single model explains how nanoscale morphology, transport, mechanics and electromagnetic response combine in a sensing material.
Solution
A computational stack that moves between RVE, resistor-network, diffusion, mechanical and electromagnetic models and closes the loop with experiments.
Evidence / result
Physics-to-instrument reasoning
FEM/FEARVEresistor networkdiffusion
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P302024-2026

Cathodic Protection Sensor Design

Problem
Cathodic-protection monitoring requires dependable sensing and instrumentation to assess protected structures without excessive deployment cost.
Solution
A sensor-design project connecting electromagnetic principles, instrumentation, embedded integration and mechatronics for cathodic-protection monitoring.
Evidence / result
90% reported cost reduction
sensor designcathodic protectioninstrumentationembedded systems
View system