I have experience working on both control systems and converter control through my academic research and engineering projects.
Some of the relevant projects include:
Current Ph.D. Research (GaN-Based Power Converter): I designed, simulated, and experimentally validated a GaN-based DC-DC power converter. The project involves converter control, PWM implementation, gate driver design, PCB development, EMI/EMC mitigation, hardware validation, and testing on four different PCB prototypes. I use MATLAB/Simulink and experimental measurements to evaluate and optimize converter performance.
PLC-Based Demand Side Management: During my Bachelor's project, I developed a complete demand-side management prototype using a Delta PLC, implementing approximately 8–10 pages of Ladder Logic for monitoring and controlling electrical loads based on predefined operating conditions.
Industrial Induction Motor Protection System: I also worked on the design and implementation of an induction motor protection system for industrial applications, which was later published as a research paper. The project involved protection logic, control implementation, sensor interfacing, and experimental validation.
Overall, my experience covers control systems, PLC programming, converter control, power electronics, hardware implementation, and experimental testing, and I am confident in adapting to new control platforms and motor-control applications as required by the project.
Conducted EMI analysis of GaN-based power converters.
Common-mode (CM) and differential-mode (DM) noise modeling and mitigation.
EMI-aware PCB design and parasitic management.
RLGC extraction and parasitic-aware converter modeling.
LISN-based conducted emission measurements.
FFT and frequency-domain signal analysis.
Electric-field and magnetic-field simulation using HFSS.
Shield optimization and electromagnetic field control.
Correlation of simulation and experimental EMI results.
MATLAB, Simulink, Python, HFSS, Q3D, SIwave, and Twin Builder workflows.
Hardware validation and laboratory testing of power electronic converters.
Project Summary
GaN-Based EMI Mitigation Research
Objective
Investigate electromagnetic interference mechanisms in high-frequency GaN power converters and develop mitigation strategies through shielding, parasitic-aware design, and simulation-driven optimization.
Tools
Ansys HFSS, Q3D Extractor, MATLAB/Simulink, Python
Activities
EMI characterization
Common-mode and differential-mode noise analysis
Shielding strategy development
Experimental validation
Converter optimization
Outcome
Successfully developed and validated EMI reduction methodologies. Detailed technical results are currently part of ongoing PhD research and will be publicly available following thesis completion and publication.
Note: Due to ongoing doctoral research and publication requirements, detailed numerical results, simulation datasets, and unpublished validation data are not publicly disclosed. Additional technical details can be discussed during interviews subject to academic and intellectual property constraints.