A systems-thinking essay arguing that most optimization quietly trades away buffers, slack, and resilience to make present metrics look better. It reframes efficiency as borrowing stability from the future, and shows how education, workforce, infrastructure, markets, and hardware all get optimized into fragility.

Repository for the study "Predicting the Urban Stormwater Drainage System State using the Graph-WaveNet"

Local delay-tolerant network system of phones that can be plugged into the internet — like a fallback internet. (PoC)

This repository contains data, figures, and analysis supporting SymC Power Grid Optimization, which demonstrates predictive grid stability through scale-invariant substrate inheritance. Using synchrophasor data, the work shows early-warning precursors, irreversible degradation, and control protocols grounded in critical-damping physics.

⚖️ Explore how optimizing systems can borrow stability from the future, emphasizing resilience and balance over short-term gains.

Census tract-level earthquake resilience modeling for the City of Los Angeles power grid that compares substation repair prioritization for network connectivity, service restoration, and equity, using network centrality metrics and k-means census-tract resilience typologies.

This repository analyses landslide events in Turkey from the NASA Global Landslide Catalog using Python, exploring how triggers relate to fatalities and seasonality, and mapping provincial hotspots to inform risk-aware planning.