eSupervisor Detail

About me

Innovative Ph.D.-qualified Electrical Engineer with 6+ years of experience in Power Electronics, Smart Grid Optimization, and EV Technology. Author of 20+ peer-reviewed publications (Scopus/IEEE/SCI) and 1 patent. Skilled in Battery Management Systems, AI-driven Optimization, and motor control. Proficient in MATLAB/Simulink and embedded hardware deployment. Passionate about sustainable energy innovation and intelligent power systems.

Interests: My research interests lie at the intersection of Power Electronics, Smart Grid Optimization, and Electric Vehicle (EV) Technology, with a strong focus on developing intelligent and sustainable energy solutions. I am deeply engaged in the design and analysis of advanced power converter topologies, including high-gain DC-DC boost converters and wireless power transfer systems, aimed at improving efficiency in modern energy applications. A significant part of my research is dedicated to Battery Management Systems (BMS), encompassing cell characterization, thermal modeling, state-of-charge prediction, and hybrid energy storage integration using supercapacitors for EV applications. I am equally passionate about Smart Grid optimization, particularly Demand-Side Management (DSM) and tariff structure design, leveraging AI-driven metaheuristic algorithms such as Ant Colony Optimization (ACO), Coati Optimization Algorithm (COA), Genetic Algorithms (GA), and Particle Swarm Optimization (PSO) to enhance grid intelligence and energy efficiency. My work further extends to motor drive systems, including Field-Oriented Control (FOC) and Direct Torque Control (DTC) for BLDC and SRM drives, bridging theoretical simulation in MATLAB/Simulink with embedded hardware deployment on TI and STM32 platforms. Additionally, I have explored the application of Deep Learning and IoT-based systems in smart monitoring and rehabilitation engineering, as reflected in my published patent on an IoT-driven exoskeleton for stroke survivor rehabilitation. Through 20+ peer-reviewed publications in IEEE, Scopus, and SCI-indexed journals, my research consistently aims to translate cutting-edge computational intelligence into practical, real-world power and energy systems.