As a Master student and Graduate Research Assistant at the University of Wyoming, USA, I am dedicated to enhancing the stability and resilience of modern power grids through advanced signal processing and machine learning. My academic journey began at the Bangladesh University of Engineering and Technology (BUET), where I earned my B.Sc. in Electrical and Electronic Engineering with a focus on renewable energy integration and frequency response optimization in 2024.

Currently, my research is centered on redefining frequency in power systems by applying Graph Signal Processing (GSP). I am utilizing GSP to analyze frequency responses within the IEEE standard bus systems, specifically aiming to identify vulnerable buses and system disturbances caused by the integration of AI-driven loads. All my research simulations are meticulously developed using MATLAB and Simulink.

Looking ahead, I plan to:

• Scale my analysis to more complex networks.

• Develop a comprehensive AI load package designed to simulate real-world load behavior with high fidelity.

Beyond my current research, I bring professional experience from the energy sector in Bangladesh, having served as a Research Consultant at CEGIS and a Junior Consultant for the Bangladesh Power Development Board (BPDB). In these roles, I specialized in GIS-based distribution network design, load flow studies, and system optimization using tools like ETAP and ArcGIS.