I have more than 15 years of teaching experience in Electrical Engineering, with expertise in delivering core courses as well as conducting laboratory sessions and developing experimental setups. My teaching philosophy focuses on promoting flexible and student-centered learning, enabling students to develop a thorough understanding of engineering concepts and apply their knowledge effectively in industrial and research environments.
In all of my courses, I encourage students to develop critical thinking, analytical reasoning, evidence-based evaluation, effective verbal and written communication, and the ability to apply fundamental engineering principles to solve real-world problems. My objective is to equip students with both strong theoretical foundations and practical skills that prepare them for successful professional careers.
My research primarily focuses on developing novel machine learning-based techniques for power system stability assessment, detection, and classification. I was awarded a Ph.D. in Electrical Engineering in 2024 from the National Institute of Technology Durgapur. I earned my M.Tech. in Electrical Engineering from the Department of Applied Physics, University of Calcutta.
To date, I have published 19 research articles, including papers in SCI- and Scopus-indexed journals, IEEE conference proceedings, and a book chapter. My research contributions are centered on the application of machine learning and artificial intelligence techniques to enhance the monitoring, analysis, and stability of modern electrical power systems.
