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IjootAnthony/README.md

Anthony Ijoot

Electrical & Electronics Engineering at Makerere University. I work where power systems meet software — instrumentation, embedded hardware, and applied machine learning for grid and energy problems.

Chair of the IEEE Makerere University Student Branch and founding chair of its Industrial Electronics Society chapter.

Currently

  • Building pq-analyser — a Python tool that detects and classifies power-quality events in voltage recordings, following IEEE Std 1159
  • Researching digital twins and generative models for predictive maintenance of EV charging infrastructure
  • Industrial training with the Electrical Power Department, Ministry of Energy & Mineral Development

Research

  • Neuro-Diagnostic Digital Twin for Urban EV Infrastructure — lead author, accepted at IEEE IRAI 2026
  • Optimizing Industrial Energy Consumption for SMEs in Sub-Saharan Africa Using Data-Driven Demand Side Management — lead author, IEOM 2026
  • Second place, Siemens Undergraduate Student Paper Competition, IEOM 2026

Working with

Python · C/C++ · MATLAB · PyTorch · NumPy · SciPy ESP32 · Arduino · STM32 · KiCad PSS®E · ETAP · DIgSILENT PowerFactory

Elsewhere

LinkedIn · anthonyijoot98@gmail.com · Kampala, Uganda

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  1. pq-analyser pq-analyser Public

    Detect and classify power-quality events in voltage recordings, per IEEE Std 1159

    Python