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sajjad-zeinali/README.md

Hi! I'm Sajjad Zeinali

I'm a Chemical Engineering student interested in computational modeling, process simulation, and scientific programming.

I use Python and engineering software to turn chemical engineering problems into computational models, simulations, and data-driven analyses.

What I Work With

  • Python & Scientific Computing — NumPy, SciPy, Pandas, Matplotlib, SymPy
  • Process Simulation — DWSIM
  • Numerical Methods — ODEs, PDEs, nonlinear equations, optimization
  • Engineering Modeling — process systems, reactors, heat & mass transfer, electrochemical systems

Selected Projects

  • PEM Electrolyzer 0D Model
    A physics-based dynamic model of a PEM water electrolyzer, covering electrochemistry, mass transport, thermal behavior, gas crossover, and renewable-power integration.

  • DWSIM Ammonia Process
    A process simulation study of ammonia synthesis with recycle, heat integration, sensitivity analysis, and screening-level economic evaluation.

  • Numerical PDEs in Chemical Engineering
    Numerical solutions to chemical engineering PDE problems involving heat transfer, mass transfer, fluid flow, and reaction-diffusion systems.

  • Collection of Numerical Methods in Chemical Engineering
    A collection of computational chemical engineering problems covering thermodynamics, reaction engineering, transport phenomena, process dynamics, and numerical methods.

  • ChE Cool Calcs
    Optimization of CSTR volume distribution for a series reaction system using Python.

Currently Learning

I'm currently focused on strengthening my skills in computational chemical engineering, process modeling, numerical methods, and scientific programming, while exploring their applications to real engineering problems.

Get in Touch

Pinned Loading

  1. ChE-Cool-Calcs ChE-Cool-Calcs Public

    Practical Python solutions for chemical engineering problems.

    Python 1

  2. dwsim-ammonia-process dwsim-ammonia-process Public

    DWSIM steady-state simulation of ammonia synthesis with recycle optimization, heat integration, sensitivity analysis, and techno-economic assessment.

    Python 1

  3. Numerical-PDEs-In-ChE Numerical-PDEs-In-ChE Public

    Python solutions to PDEs in Chemical Engineering: heat transfer, mass transport, reaction-diffusion, and more to come!

    Python 1 1

  4. pem-electrolyzer-0d pem-electrolyzer-0d Public

    A validated 0D dynamic model of a PEM water electrolyzer — electrochemistry, mass transport, thermal dynamics, and solar-driven simulation, in Python.

    Python 1

  5. Collection-Of-Numerical-Methods-In-ChE Collection-Of-Numerical-Methods-In-ChE Public

    This repository contains a set of chemical engineering problems solved using Python-based numerical methods. It serves as a practical resource for applying computational techniques to common challe…

    Python