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Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

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pozapas/README.md

Who I Am ( 👨‍💻 + 🍕 + ☕)

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

Skills

PythonrlangVS CodeVimMySQLPostgreSQLHerokuFlaskIllustratorGoogle CloudWordpressDjangoBlenderDockerPyTorchTensorFlow

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  1. awesome-causal-ai awesome-causal-ai Public

    A meticulously curated collection of cutting-edge research, frameworks, and methodologies in Causal Artificial Intelligence.

    4

  2. awesome-crowdynamics awesome-crowdynamics Public

    A curated collection of open-source tools and resources for studying and analyzing crowd dynamics, pedestrian flow, and evacuation strategies.

    23 4

  3. Crowd-Analyzer Crowd-Analyzer Public

    Crowd Analyzer is a Python application for analyzing pedestrian and crowd mobility patterns using computer vision and machine learning techniques.

    Python 10 6

  4. PEDAT PEDAT Public

    Pedestrian data visualization dashboard

    Python 2 1

  5. PedImpute PedImpute Public

    This repository contains code and resources for the paper "Imputing Time Series Pedestrian Volume Data with Consideration of Epidemiological-Environmental (EpiEnv) Variables". It includes methodolo…

    Jupyter Notebook 1

  6. CrashAutoML CrashAutoML Public

    Crash Severity Analysis using Automated Machine Learning (AutoML) method

    Jupyter Notebook 2