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Graduate and Undergraduate Projects

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Course Projects

  • Graduate Course
    • Analyzed data-driven modeling of a grid-connected PV system (MATLAB/Simulink, Python)
    • Applied power flow iterative solvers (PowerWorld/MATLAB) ∗ Performed finite element analysis of three-phase induction motor (C, C++, OpenMP,CUDA)
    • Parallelized high-performance linear algebra (C, OpenMP, MPI, CUDA)
    • Formulated supervised and unsupervised learning algorithms (R, Python)
    • HELICS co-simulation for fast frequency support in isolated microgrid systems (Python)
  • Under Graduate Project
    • Designed a smart energy billing meter system for residential building (C, C++, Arduino UNO)

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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