Graduate and Undergraduate Projects
Published:
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)