Introduction
Giang Nguyen is a senior scientific researcher at the Institute of Informatics of the Slovak Academy of Sciences (IISAS). Her research topics include machine learning, deep learning,privacy and security with high-performance and distributed computing backgrounds. She is also Associate Professor in Computer Science at the Faculty of Informatics and Information Technologies of the Slovak University of Technology (FIIT STU) in Bratislava with the course “Introduction to Data Science”.
Álvaro López García is a CSIC Tenured Scientist at the Spanish National Research Council, head of the Advanced Computing and e-Science group, and the project coordinator of the AI4EOSC project.
Ignacio Heredia Cacha is a researcher at the Spanish National Research Council, developing tools to foster the adoption of AI in Science. As a member of the AI4EOSC project, he leads the Experiment Centric AI services Work Package.
Borja Esteban Sanchís is a MLOps engineer at the Karlsruhe Institute of Technology in Germany. He is an experienced Python developer with experience in Machine Learning, Testing Frameworks and Web Services.
Deborah Schmidt is head of the Helmholtz Imaging Support & Engineering Unit at the Max Delbrück Center for Molecular Medicine in Berlin. She is a media computer scientist experienced in scientific image data analysis and passionate about open science, citizen science, and decentralized systems.
MSc. Saúl Cano Ortiz is a PhD candidate in Artificial Intelligence Applied to Civil Engineering (Road Maintenance), Data Scientist and Physicist. Currently working at GITECO (University of Cantabria) as R&D Data Scientist. Main topics: Computer Vision, Deep Learning, Generative AI.
Daniel García Díaz, Ph.D. in Science and Technology from the University of Cantabria in the field of artificial intelligence applied to remote sensing, is currently working as a postdoctoral researcher at the Marine Sciences Institute of Andalusia.
Enoc Martínez, Ph.D. in Electronics from the Polytechnic University of Catalonia. His fields of research are underwater sensor systems, marine data management and AI applied to underwater imagery.
Khadije Alibabaei has her PhD in Mathematics from the University of Porto, Portugal, and won the prize for the best doctoral thesis in Mathematics and Computer Science fields. She earned her second PhD in Industrial Engineering, focusing on the application of AI in the agriculture sector. She works as a Data Analytics, Access, and Applications specialist at the Karlsruhe Institute of Technology, Germany.
Alberto Pedrouzo-Ulloa obtained his PhD from Universidade de Vigo (Spain) in 2019. Currently, he is a Margarita Salas researcher at atlanTTic, working as the scientific manager of the European project TRUMPET, which focuses on the application of privacy-enhancing technologies in federated learning.
Javier Fernandez-Marques is a research scientist at Flower Labs. He works on the core framework and develops the Flower Simulation Engine, which allows to run Federated Learning workloads in a resource-aware manner and scale these to thousands of active clients. Javier interests lie in the intersection of Machine Learning and Systems, and more concretely running on-device ML workloads, a key component in Federated Learning. Javier got his PhD in Computer Science from the University of Oxford.
Judith Sáinz-Pardo Díaz is a researcher at the Advanced Computing and e-Science group at the Spanish National Research Council. Mathematician with a major in Computer Science from the University of Cantabria and Master in Data Science from the Universidad Internacional Menéndez Pelayo. She’s developing her PhD thesis in privacy preserving techniques in data science environments.
