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.
I completed my Integrated Master’s degree in Informatics Engineering at the University of Minho in 2022. Currently, I am enrolled in the Doctoral Program in Informatics at the same university. Through this program, I am expanding my knowledge in the area of distributed systems, specifically in decentralized algorithms that can be applied to federated learning and exploring the benefits of these methods, particularly in terms of their performance and communication costs.
Álvaro Silva, a Ph.D. candidate at FEUP in Portugal, aspires to research the interconnection between Formal Verification and generative AI applications. Previously, Álvaro was an ASIC Digital Design Staff Engineer at Synopsys, where he performed functional and formal digital IP verification for automotive-grade products. In this role, Álvaro gained an appreciation for software verification and the challenges it presents. He holds an integrated Master’s degree in Electrical and Computer Engineering from FEUP, where he graduated with a GPA of 19/20. Recognized for his academic excellence, Álvaro was awarded two merit scholarships.
I completed a Bologna Degree in Information Systems and Computer Engineering at Instituto Superior Técnico (2017-2020) followed by a Bologna Master Degree in Computer Science and Engineering where I specialized in Artificial Intelligence and Engineering & Data Science (2020-2023). I worked at Caixa Geral de Depósitos as an AI Engineer (2023-2024).
