Diogo Araújo

I am a Ph.D. student specializing in robust image analysis and AI-driven fairness methods. My work bridges generative AI, robotics, and multimodal learning to address real-world challenges. Under the supervision of Professors Catarina Barata and Carlos Santiago, I conducted research in robust medical image analysis. My work explored the combination of Vision Transformers and Multiple Instance Learning to create a novel classification framework that focuses only on the most relevant patches. I am currently a visiting student at the Robotics Institute, Carnegie Mellon University, under the supervision of Professor Fernando De la Torre. I am leading a project focused on de-biasing classifiers using generative AI and active learning.