I am interested in understanding how deep neural networks (DNNs) perceive, represent, and process diverse visual concepts such as mood, emotion, style, and semantics and their impact on decision-making. My research aims to uncover the underlying mechanisms behind these representations to develop more structured and expressive visual features. By enhancing the interpretability and robustness of learned representations, I seek to improve performance in real-world downstream tasks, including scene understanding, affective computing, and content generation.