Title: "Parametrical Sparse Models: Atom Learning and Gridless Recovery Techniques"

Biography: Dra. Matilde Sánchez Fernández received the degree in Telecommunication Engineering and the Ph.D. degree from the Universidad Politécnica de Madrid, Madrid, Spain, in 1996 and 2001, respectively. In 2000, she joined Universidad Carlos III de Madrid (UC3M), where she has been a Full Professor since 2022. Previously, she worked as a Telecommunications Engineer at Telefónica. She has carried out several research stays at the Information and Telecommunication Technology Center of the University of Kansas, Lawrence (1998); at Bell Laboratories, Crawford Hill, NJ (2003–2006, 2015); at the Centre Tecnològic de Telecomunicacions de Catalunya, Barcelona, Spain (2007); at Princeton University, Princeton, NJ (2011); and at the Pontificia Universidad Católica de Valparaíso (2022). Her current research interests include signal processing for wireless communications, multiple-input multiple-output (MIMO) techniques, wireless channel modeling, as well as game theory and machine learning applied to communications. In these fields, she has coauthored more than 50 contributions in international journals and conferences, holds 4 patents, and has taken part in 30 research projects, coordinating 5 of them. In 2014, she received the Bell Labs Prize, an international award that seeks innovative, high-impact ideas with the potential to transform the way we live, work, and communicate. Within the Department of Signal Theory and Communications, she has held the positions of Academic Secretary and Associate Dean for Academic Affairs of the Department. At Universidad Carlos III de Madrid, she has served as Associate Vice-Rector for International Relations, Vice-Rector for International Relations and Cooperation, and Vice-Rector for Internationalization and European University.

Title: "Forecasting under unknown objectives: Meta-learning of loss functions" 

Biography: Dr. Antonio Bazco-Nogueras is a postdoctoral researcher at IMDEA Networks Institute and a recipient of the “Atracción de Talento” fellowship. He joined both the Network Data Science group and the Opportunistic Architectures Lab in 2021. His current research focuses on integrating intelligence into the network and on the study of explainable and energy-efficient machine learning and artificial intelligence solutions tailored to communications. His research interests include distributed systems, information theory, and artificial intelligence. He received his Ph.D. in Telecommunications from Sorbonne Université in 2019. Before joining IMDEA, he was a postdoctoral researcher at EURECOM (France) from 2020, and previously a predoctoral researcher at the Mitsubishi Electric R&D Centre Europe (France) from 2016 to 2019. He was also a visiting researcher at the Center for Pervasive Communications and Computing (CPCC) at the University of California, Irvine (2017), and at the University of Edinburgh (2025).

Title:  "Sum rate maximization in cache-enabled wireless networks" 

Biography: Dr. Borja Peleato received the Bachelor’s degrees in Telecommunications and Mathematics from the Universitat Politècnica de Catalunya, Barcelona, Spain, in 2007, and the M.Sc. and Ph.D. degrees in Electrical Engineering from Stanford University, Stanford, CA, USA, in 2009 and 2013, respectively. In 2006, he was a visiting student at the Massachusetts Institute of Technology (MIT), and in 2013, he worked as a Senior Flash Channel Architect at Proton Digital Systems. From 2014 to 2020, he was an Assistant Professor in the School of Electrical and Computer Engineering at Purdue University, West Lafayette, IN, USA. In 2020, he was awarded a CONEX-Marie Curie fellowship and joined the Signal Theory and Communications group at Universidad Carlos III de Madrid, Leganés, Spain. After a brief period in 2021 as a Distinguished Researcher at Universidad Rey Juan Carlos, he obtained both a Ramón y Cajal fellowship and a CAM Atracción de Talento fellowship, accepted the latter, and returned to Universidad Carlos III de Madrid, where he continues to work. He is a Senior Member of the IEEE, and his research interests include wireless communications, autonomous networks, information theory, and convex optimization.

Title:  "" 

Biography: Dr. David Cortés-Polo received the B.Sc. degree in Computer Engineering from the University of Extremadura (Spain) and the Ph.D. degree in Telematics Engineering from the same university in 2015. From 2006 to 2011, he worked as a researcher in the GÍTACA research group at the University of Extremadura. He later served as head of the Networks and Communications Functional Unit at the CenitS Research Centre, the supercomputing center of Extremadura, until 2020. In parallel, from 2011 to 2014, he was an adjunct professor in Telematics Engineering at the University of Extremadura. Between 2020 and 2022, he worked as a part-time substitute lecturer at the same university. From 2022 to 2023, he was an assistant professor at Universidad Rey Juan Carlos, Madrid. Since September 2023, he has been a associate professor lecturer (Profesor Contratado Doctor) in the Department of Computer and Telematics Systems Engineering at the University of Extremadura. His research interests include IP-based mobility management protocols, performance evaluation and CDR analysis in networks, and the application of deep learning algorithms to mobile data analysis. His scientific output includes more than 15 papers in JCR-indexed journals and over 25 presentations at national and international conferences. In addition, he has been actively involved in 15 national and regional research projects, as well as in more than 15 R&D transfer contracts with companies in the software engineering and telecommunications sectors. Particularly noteworthy are the contract with Gamma Solutions for the deployment and management of the “Piloto 5G-Extremadura” network (2019/C012/00076241), within the 5G pilot call funded by the public company Red.es and framed in the National 5G Strategy and the National Smart Territories Plan, both promoted by the Ministry of Economy and Enterprise; and the project “Autonomous and Efficient Resource Management in Real 5G and Beyond Network Deployments (REALNET-B5G), PID2023-151462OB-I00,” from the 2023 Knowledge Generation Projects call, funded by the Ministry of Science, Innovation and Universities and the Spanish State Research Agency. He has supervised one Ph.D. thesis in the field of cybersecurity and is currently co-supervising another, together with Dr. Mihaela I. Chidean, in the same area.