I am currently pursuing a PhD in Electrical Engineering at the University of Michigan-Dearborn, where I have the privilege of working under the guidance of Prof. Wencong Su. My academic journey began with a Bachelor's degree in Electrical Engineering from the University of Kurdistan Sanandaj in 2016, followed by a Master's degree in the same field from the University of Zanjan in 2019. Throughout my academic career, I have developed a deep interest in leveraging Machine Learning to enhance power systems. My research primarily focuses on applying Machine Learning techniques to power systems, with a keen interest in areas like Learning Optimization, Power Converter-Dominated Power Systems, and Power System Protection. My goal is to contribute to the advancement of electrical engineering by integrating innovative machine learning approaches with traditional power systems, with the aim of improving efficiency, reliability, and sustainability. I am passionate about exploring the intersections of electrical engineering and machine learning, and how these technologies can be applied to solve complex problems in power systems. Through my research, I strive to develop novel solutions that can have a significant impact on the field, making power systems more adaptable, efficient, and resilient in the face of evolving demands and challenges.