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.
José Pedro Gomes is a Ph.D. student working in the intersection of computer graphics, computer vision, and deep learning. Aiming to push the boundaries of generative models to create visually stunning and immersive virtual environments. José is supervised by Prof. Fernando De La Torre at CMU and Prof. Alexandre Bernardino in Portugal.
I am a Ph.D. candidate in the Carnegie Mellon Portugal affiliated Ph.D. (CMU Portugal) program in the Doctoral Program in Electrical and Computer Engineering (PDEEC), at the Faculty of Engineering of the University of Porto (FEUP), Portugal, and a researcher at INESC-TEC in the Center for Biomedical Engineering Research (C-BER).
Jayakorn Vongkulbhisal received the BEng degree in information and communication engineering from Chulalongkorn University in 2011 and the PhD degree in electrical and computer engineering from Carnegie Mellon University and Instituto Superior Tecnico in 2018. He is currently a research scientist at IBM Research-Tokyo. His research interests include optimization a
