Navid Nobani

I am an Assistant Professor in Artificial Intelligence with research interests in Explainable AI (XAI) and Natural Language Processing (NLP). My research focuses on developing interpretable and transparent AI systems to enhance trust and usability in machine learning models. In the field of NLP, I work on advancing techniques such as word embeddings, semantic modeling, and text analysis to improve language understanding and processing. I am particularly interested in exploring how AI can bridge the gap between human reasoning and machine learning, enabling more effective and explainable applications in areas like information retrieval, sentiment analysis, and knowledge representation.