Skip to content
View pozapas's full-sized avatar

Highlights

  • Pro

Block or report pozapas

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
pozapas/README.md

Who I Am ( ๐Ÿ‘จโ€๐Ÿ’ป + ๐Ÿ• + โ˜•)

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.

  • ๐Ÿ“ Based in Logan, Utah
  • ๐Ÿ“ง Contact: [email protected]
  • ๐Ÿ“‚ Projects and Publications: See pinned repositories below

Skills

PythonrlangVS CodeVimMySQLPostgreSQLHerokuFlaskIllustratorGoogle CloudWordpressDjangoBlenderDockerPyTorchTensorFlow

Socials

Support Me

Buy Me A Coffee

Pinned Loading

  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 5 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 methodoloโ€ฆ

    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.

    8 3