cascading-failures

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".

The relevant data and codes of our ISCAS2022 work "Predicting Onset Time of Cascading Failure in Power Systems Using A Neural Network-based Classifier".

[DEPRECATED] Moved to microsoft/agent-governance-toolkit

Tree partitioning algorithms for power networks

Source code for the papers: RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors (NeurIPS) / Blackout Mitigation via Physics-guided RL (IEEE TPS). Built with TensorFlow.

A lightweight, extensible circuit breaker using Redis for distributed state in microservices. Includes a gateway, auth service, and profile service communicating over HTTP. Circuit breaker in profile service handles auth failures with Redis-based state persistence.

An R package for complex network analysis of cascading failures on power grids

Source code for the papers: Real-Time Risky Fault-Chain Search using Time-Varying Graph RNNs (ICLR) / GRNN-Based Real-Time Fault Chain Prediction (IEEE TPS). Built with PyTorch.

Simulation code for Ambiguity-Bearing Outputs (ABO) across Interconnected Systems Environment (ISE). Validates Inter-Systems Coherence & Integrity Layer (ISCIL) containment architecture. Paper: Ayada (2026).

CloudSRE v2 is a 16-service asynchronous RL environment where a 1.5B agent learns to resolve cascading microservice outages against a 72B Adversarial Designer.

"IEEE 39/118/300/2383 simulations and memory ablation experiments."

This repository contains a complete collection of my CSS learnings, covering fundamental concepts like selectors, box model, and typography, as well as advanced topics including Flexbox, Grid, animations, transitions, and responsive design. It features practical code examples and projects that document my journey from beginner to proficient in CSS.

Framework de arquitectura física analógica para resolver el primer problema de las infraestructuras críticas: el colapso por interdependencia en el nexo agua-energía.

Enterprise dependency graph engine — custom graph algorithms, FastAPI + PostgreSQL backend, cascading-failure simulation & risk analysis

B2G Spatial Intelligence Engine: Predicting urban logistics cascading failures using Graph Attention Networks (GAT) & Azure.

Open earthquake digital twin for Greater Dhaka — hazard, exposure, cascade, surrogate emulator

Research prototype for cross-fidelity early-warning evaluation of cascading failure in dynamic multi-agent networks.