CA-ICA Traffic Optimization is a smart transportation research project that applies Cultural Algorithm (CA) and Imperialist Competitive Algorithm (ICA) to optimize urban traffic systems, public transportation networks, and bus allocation through AI-driven simulation models.

TerminalSim is a high-performance C++ simulation server for basic modeling, optimizing, and analyzing container terminal operations and multimodal transport networks.

A Data-Driven Framework for Driving Cycle Generation and Analysis

CARE — Crash Analysis & Redaction Engine: privacy-safe extraction of crash diagrams and narratives from police crash report PDFs for open transportation research. Offline-first, plugin-based, fail-closed.

WhatsApp-based odometer photo collection framework for VMT (vehicle miles traveled) research

Mella Lira, B., Paez, A. (2021) Do drivers dream of walking? An investigation of travel mode dissonance from the perspective of affective values, Journal of Transport and Health, 20:101015

A Python-based intelligent transportation research framework for traffic simulation, signal-control benchmarking, and graph time-series forecasting.

Independent applied-research portfolio on Qatar's transportation infrastructure, innovation ecosystem, and policy landscape. Structured data, reproducible methodology, evidence-driven gap analysis. Supports decision-making by government agencies, research institutes, innovation programs, and consultancies.

FreTIS: Computer vision system analyzing freight traffic exposure and environmental justice in California's Inland Empire