Researcher at RUET
Hello! I am an Electrical and Electronic Engineering graduate currently working as a Graduate Research Assistant, with a focus on power systems, computational methods, and machine learning. My current research involves dynamic EV hosting capacity, including the effects of battery state of charge, charging behavior, power factor, and network constraints. My research experience also extends to ECG-based mental stress classification using signal processing, feature engineering, CNN, and LSTM models, which led to an IEEE conference publication. I also have practical exposure to power-plant operation and maintenance and have worked on projects involving transient stability, SCR commutation, inverter control, PLC-based motor control, and Arduino systems. My interests include power system stability, renewable energy integration, EV-grid interaction, machine learning applications in power systems, and data-driven electrical engineering.