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.
My name is João Pedro Paiva, I am 24 years old, and I am from Covilhã, Portugal. I have been a student at Universidade da Beira Interior ever since 2017. I have a bachelor’s degree in Electromechanical Engineering and a master’s degree in Engineering and Industrial Management. My research areas include Smart cities, IoT, and Public Policies.
I am a data engineer with a solid background in anomaly detection, currently focused on neuroimaging. Before starting my PhD, I spent seven years refining machine learning models to enhance system security through immunity measures, leading an AI research team and contributing to several peer-reviewed publications. My interest in neurolife and psychiatric disorders led me to deepened my knowledge in the field. I’d like to develop diagnostic biomarkers and make reliable predictions of mental illnesses leveraging my expertise in anomaly detection. I had the honor of collaborating with VMware and am passionate for open-source development and Git. The ultimate goal of my doctoral work is to enhance mental health care and reduce treatment costs.
I hold a Bachelor’s and Master’s in Biomedical Engineering from Instituto Superior Técnico, specializing in Imagiology, Biosignals, and Biomedical Instrumentation. My research focuses on leveraging machine learning for biosignal analysis, with the goal of advancing innovations in health technology.
Ying Xu received her Bachelor of Engineering degree and an MPhil degree in Design from Wuhan University of Technology. She is working on her Ph.D. in Computer Science and Engineering at the Interactive Technologies Institute, Técnico-University of Lisbon, with Prof. Nuno Jardim Nunes as her supervisor and Prof. Jessica Hammer as her co-supervisor.
I am a landscape architect and researcher, specializing in the intersection of digital media, ecological design, and cultural heritage. With expertise in Ecology, Design and Human-Computer Interaction, I explore innovative ways to communicate natural heritage and foster sustainability through interactive technologies.
I am a PhD student in the Computer Science department at NOVA Lisbon in Portugal. My research focuses on AI models for environmental applications, utilizing satellite images and in-situ data. My passion lies in applying cutting-edge AI technology to develop innovative solutions for addressing and solving critical environmental challenges.
Mathilde is an Affiliated PhD candidate in Digital Media at ITI and CMU. She holds an MA in Visual Communication from Intuit Lab Paris and an MA in Sustainable Design from the University of Brighton. Outside of Academia, Mathilde worked as a designer for Nesta and Policy Lab to bring more innovation and human-centered approaches to UK policymaking.
