Department of Computer Science and Engineering, Faculty of Science and Information Technology
As a researcher in machine learning and deep learning, I specialize in developing interpretable AI models. My work focuses on enhancing transparency in AI decisions using techniques like SHAP and LIME, Grad Cam, and Grad Cam++, particularly in healthcare and agriculture. My goal is to develop models that not only excel in performance but also provide insights into their decision-making processes. I aim to bridge the gap between advanced technology and its practical applications, ensuring trust in AI systems.