[Paper][ICDE 2023] Tele-Knowledge Pre-training for Fault Analysis

UPSET is an automated framework for performing Single Event Transient Analysis and Optimisation for VLSI circuits utilising Static Timing Analysis principles. Documentation at:

A single-phase line-to-ground fault simulation with overcurrent relay logic (IEEE 50) and breaker response modeled in PSCAD (2025)

Fault Analysis helps in exploring the faults that occur in the power networks. Which provides useful data for protection settings and stability expectations.

Course notes, concepts, and example projects from the PSCAD Power System Simulation Certification course on Udemy. (2025)

This Repo is my project of Practical Work for my mandatory credit in Geophysical Undergraduate Program in Gadjah Mada University

AES-128 single fault attack using AES-NI instructions and multiprocessing.

A Python-based electrical engineering project for fault analysis and short-circuit calculations, featuring Ybus/Zbus matrix modeling, symmetrical component methods, fault current estimation, and engineering visualization.

An intelligent AI-powered agent for electrical power system fault detection and diagnosis using Google Gemini AI.

Unsupervised Fault Detection and Identification toolbox for industrial sensor data — no labeled fault data required.

Simulation of transmission line faults (LG, LL, LLG and Three-Phase) using MATLAB Simulink with voltage and current waveform analysis.

Power system fault current and protection coordination simulator

Batch IEC 60909 short circuit analysis for PSS/E, exported to a formatted Excel summary

Cross-layer causal fault analysis framework for embedded systems

Fault analysis and selection of circuit breaker ratings in a power system

On-Device Neural Network Engine for Real-Time Fault Analytics in IoT & Edge AI Platforms

RoadVision AI is a Real-Time Traffic Intelligence System designed to monitor roads, detect accidents, recognize license plates, and generate detailed traffic reports.

This repository contains a sanitized, end-to-end R pipeline for transforming raw telemetry and event data into correlation reports identifying sensors and derived statistics that may be predictive of analysis-causing events.