Japan-first economic security watchboard for dependencies, logistics, airport operations, and source-backed evidence.

This project is a comprehensive Power BI dashboard analyzing airport operations, focusing on flight delays, time analysis, and detailed flight information to improve efficiency and passenger satisfaction.

Airport turnaround and ramp-safety computer-vision platform with FastAPI, Next.js, tracking, evidence, and demo workflows

Open-source Python tooling for collecting, normalizing, monitoring, and self-hosting Korean NOTAM data.

Airport digital twin portfolio demo with React, Blueprint JS, MQTT, Eclipse Ditto, NGSI-LD, DTDL, TimescaleDB/PostGIS, and Podman.

Workforce management tool for predicting ground handling delays and optimizing staff allocation for airport operations.

Data analytics and forecasting system to predict passenger traffic, detect bottlenecks, and optimize airport operations.

Mixed-integer programming model for airport gate assignment using flight schedules and historic gate utilization data.

Analyzing US flight disruption data to identify operational risk patterns in aviation

Decision-support console for airport operations — ML forecasts, computer-vision alerts, sensor analytics, and gate-allocation workflows with full audit traceability.

WordPress plugin for flight tracking, saved flight pairs, archives, and PDF exports.

AeroStaff Pro: React Native tools for airport shifts, flight timelines, Android widgets, and Wear OS.