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pozapas/README.md

Hi 👋 My name is Amir Rafe

🚶 Enthusiast in Pedestrian Studies & 🤖 Applied AI

My passion lies in understanding the complexity of human behavior in urban environments, particularly as it relates to crowd dynamics and emergency evacuation modeling. I am constantly exploring new methods and techniques to develop mathematical models and agent-based simulations that accurately capture these phenomena. Additionally, I have a strong interest in statistics and programming, and I am always looking for ways to leverage these skills to enhance my work in pedestrian dynamics. As cities continue to evolve and grow, I believe that a deeper understanding of human behavior and pedestrian dynamics will be crucial to creating smarter, safer, and more efficient urban environments.

Skills

PythonrlangVS CodeVimMySQLPostgreSQLHerokuFlaskIllustratorGoogle CloudWordpressDjangoBlenderDockerPyTorchTensorFlow

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  1. 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 4 3

  2. PEDAT PEDAT Public

    Pedestrian data visualization dashboard

    Python 2 1

  3. 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

  4. CrashAutoML CrashAutoML Public

    Crash Severity Analysis using Automated Machine Learning (AutoML) method

    Jupyter Notebook 1

  5. EvacuAIDi EvacuAIDi Public

    Stadium Evacuation Path Finder

    Python

  6. 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.

    4 2