AI-Assisted Grading – A Study on Efficiency and Fairness

Her research focuses on artificial intelligence in education, including natural language processing for automated grading and feedback generation, multi-modal learning (integrating vision and language models), and generative AI.Her broader interests include sustainable computing, IoT, and the development of smart cities and connected environments.Prior to her graduate studies, she accumulated three years of professional experience as a Software Engineer in India, specializing in software design and development for enterprise applications.She is committed to advancing educational technology and addressing real-world challenges through innovative computing solutions.