Mahmoud Kiasari

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About Me

I'm a passionate researcher and engineer currently pursuing my PhD at Dalhousie University. My research focuses on enhancing fire protection in electric vehicle batteries through thermal energy storage and machine learning using Simulink. I am also involved in analyzing the performance of EV batteries in a Vehicle-to-Grid (V2G) system and their impact on grid power consumption.

Achievements

  • Medjuck Scholarship in Energy Studies (2024/2025)
  • Publications: Several papers on EV battery safety and V2G systems.
  • Active Contributor: Conferences and research projects.

Skills

  • Languages: Python, MATLAB, JavaScript, HTML, CSS
  • Frameworks & Libraries: Django, Simulink
  • Tools & Technologies: PSCAD, Git, Docker
  • Research Areas: Electric Vehicles, Battery Management Systems, Renewable Energy, Machine Learning

Tech Stack

Python MATLAB Simulink PSCAD Django JavaScript HTML CSS Git Docker

GitHub Stats

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Projects

A project focused on improving the safety of electric vehicle batteries by integrating thermal energy storage and machine learning algorithms.

Analyzing the performance and impact of Vehicle-to-Grid systems on grid power consumption using advanced simulation tools.

Contact

Feel free to reach out if you want to collaborate on exciting projects or discuss research ideas!


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