Diogo Araújo

Graduate researcher in AI and Robotics with expertise in generative models, fairness in machine learning, and medical image analysis. MSc from Instituto Superior Técnico. Recently completed a research stay at Carnegie Mellon University, where I developed methods to de-bias deep models using synthetic data.

José Pedro Gomes

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.

Tamás Karácsony

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

Jayakorn Vongkulbhisal

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