All CMUPortugal Programs
Brian Ebiyau is a Ph.D. student whose research lies at the intersection of computer vision, deep learning, and embedded systems. His research focuses on developing efficient machine learning methods and models for edge computing environments. He is supervised by Professor Jaime S. Cardoso in Portugal and Professor Anthony Rowe at CMU.
Dual Degree PhD student at Instituto Superior Técnico and Carnegie Mellon University in Computer Science and Artificial Intelligence. My research focuses on using AI and LLMs to automate and accelerate scientific discovery. Prior to my PhD, I worked in quantum communication and software engineering, and completed an integrated Master’s degree in Electronic and Telecommunications Engineering.
My research explores how humans allocate and communicate attention in hybrid teams composed of humans and robots, with a particular focus on gaze. I’m interested in understanding how attentional states are expressed during collaboration, and how intelligent agents can sense, predict, and respond to them in a natural and meaningful way.
André Catarino has worked in both industry and research institutions across software engineering, energy, and finance, building AI systems from ideation and experimentation to deployment and monitoring. His research bridges AI4SE and SE4AI, focusing on secure code generation and advancing secure and reliable coding agents.
Passionate about building intelligent systems that can understand and interpret human speech — exploring the intersection of speech, language, and AI to enable more natural communication between humans and machines.
João Matos is a Dual Degree PhD student in the CMU Portugal Program. He holds a Master’s from IST Lisbon, with specializations in Security and Algorithms. He was a visiting student at AGH University of Kraków and Université Grenoble Alpes, and has served as a teaching assistant at IST since 2024, teaching lab classes of Computer Science courses.
I am a CMU Portugal dual-degree ECE PhD student at Carnegie Mellon and FEUP, holding an M.S. in Engineering AI from CMU-Africa. My research focuses on the mechanistic interpretability of vision-language models, visual grounding, and medical AI explainability.
I am an Electrical Engineer (University of Bristol) with an MSc in Sustainable Energy (DTU). My research focuses on transmission network expansion — analysing bottlenecks, quantifying benefits, and assessing enabling technologies. I am interested in the engineering problems facing society, particularly those related to energy, and aim to support informed policy-making through quantitative modelling.
I’m a dual-degree PhD student in AI and robotics, working on generative modeling and representation learning. I hold an MSc in Electrical and Computer Engineering from Instituto Superior Técnico and was a visiting researcher at Carnegie Mellon University’s Robotics Institute. My research focuses on developing structured and controllable generative models, with applications in computer vision.
