This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-attacks) in SCADA water infrastructure.

Collection of code for mechanical engineering problems

Qmix pump and valve interface

Raspberry pi powered plant watering system

Python scipy curve_fit wrapper that fits a range of polynomic functions and returns the best fit.

End-to-End Industrial AI-driven condition monitoring system for early fault detection in rotating machinery using Unsupervised LSTM Autoencoders. Detects failures 72h in advance. Early fault detection with 100% accuracy on high-frequency sensor data (NASA IMS Dataset).

New Era Pump controller program for flowing salt buffers to C. elegans