Human Behavior | ML & Applied AI | Causality in Engineering | Evacuation
I am a transportation engineer and researcher specializing in pedestrian dynamics, human behavior modeling, and AI applications in urban environments. My work focuses on developing mathematical models, agent-based simulations, and AI-driven frameworks to better understand and improve crowd movement, safety, and emergency evacuation processes.
I am passionate about advancing research at the intersection of complexity science, transportation systems, and artificial intelligence. My goal is to contribute to the design of smarter, safer, and more resilient urban environments.
Advancing pedestrian safety and crowd resilience through data-driven research and AI-powered modeling.
- 📍 Based in San Marcos, Texas
- 📧 Contact: amir.rafe@txstate.edu
- 📂 Projects and Publications: See pinned repositories below
