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itshams7/README.md

Shamseldin Abdelrahim

Electrical & Electronic Engineering Graduate | Environmental Modelling | Energy Systems | Applied Research

I am an Electrical and Electronic Engineering graduate with research experience in computational modelling, environmental forecasting, and energy-system simulation.

My interests include water and energy security, resource-use decisions, environmental sustainability, and applying quantitative methods to development challenges in Sudan and other resource-constrained settings.

Selected Research Projects

Project Focus
Nile Basin Streamflow Forecasting Wavelet-assisted machine learning for hydrological forecasting and missing-data robustness
Electric Cooking and Solar Mini-Grid Reliability Scenario-based assessment of demand, storage and infrastructure adequacy
Computational TiO₂ Glucose Sensor Research Electronic-structure and molecular adsorption modelling
Low-Cost Water Quality Monitoring Simulation-based environmental sensing and monitoring architecture

Research and Technical Interests

Environmental data analysis · Time-series forecasting · Scenario modelling · Energy systems · Water security · Computational materials research

Tools: Python · MATLAB · Git · LaTeX · Materials Studio / CASTEP

Connect

LinkedIn · ResearchGate

Pinned Loading

  1. electric-cooking-minigrid-stress-test electric-cooking-minigrid-stress-test Public

    Simulation of electric cooking adoption, solar mini-grid reliability, and infrastructure requirements in rural Sudan.

    Python

  2. low-cost-iot-water-quality-monitoring low-cost-iot-water-quality-monitoring Public

    Simulation-based design of a low-cost IoT system for monitoring water quality in resource-constrained environments.

    Jupyter Notebook

  3. TiO2-Glucose-Sensor-DFT TiO2-Glucose-Sensor-DFT Public

    Computational investigation of TiO₂-based glucose sensing using density functional theory and molecular adsorption modelling.

  4. wavelet-streamflow-nile wavelet-streamflow-nile Public

    Wavelet-assisted machine learning for Nile Basin streamflow forecasting and missing-data robustness.

    Jupyter Notebook