Hydraulic Digital Twin
Confidentiality-safe digital-twin demonstration using synthetic sensor data, validation checks, anomaly detection, operating-state classification and automated reports.
Project portfolio
Applied AI and research-software case studies.
These projects are selected to show practical engineering-data workflows, digital-twin prototypes, anomaly detection and scientific modelling in Python.
TDMS Sync Checker
Engineering-data QA/QC tool for TDMS files, with timing metadata inspection, group/channel synchronisation review and continuity diagnostics.
Structural Audio Anomaly Detection
Signal-processing and ML workflow for structural-test monitoring, including feature extraction, similarity scores and anomaly labels.
LDSFL Meander
Research-software implementation of a reduced meander-morphodynamics model, with reproducible examples, documentation and GUI/CLI execution paths.