SIGNAL THEORY AND COMMUNICATIONS DEPARTMENT

Communication Group (GCOM)

The Communications Group of University Carlos III of Madrid has strong experience in the analysis, design and evaluation of fixed and mobile communication systems, offering alternatives to optimize the applications and services that are supported on them. The main research activities are: multi-antenna systems (MIMO) for wideband communications, multicarrier modulation (OFDM and its variations), simulation and modeling of communication systems, and signal processing for application to wireless local/metropolitan area networks (WLAN, WMAN), next generation mobile systems (5G), and satellite communication systems.

Radio Technologies and Applications Group (GEA)

The Radio Technologies and Applications Group (GEA) has expertise in many research lines related to antennas and microwave devices, particularly in: a) the design and optimization of printed antennas; b) the study of artificial surfaces (soft/hard), periodic structures and metamaterials; c) textile and implantable antennas with special emphasis in MIMO systems; d) antennas for industrial applications; e) the design of antenna arrays and mutual coupling reduction; f) leaky wave antennas and g) Transformation Optics and lenses. The Group is currently involved in two publicly funded research projects related to the implementation of Gap-waveguide Technology in millimeter wave antennas and beam-forming networks.

Machine Learning For Data Science Group (ML4DS)

The Machine Learning for Data Science (ML4DS) research interest is the analysis and development of machine learning algorithms in data science. Our key applications include adaptive filtering, neuroimage processing, smart grids, big data and IaD (Internet as Data Source).

Artificial Intelligence Group (AIG)

The group’s research lies at the intersection of artificial intelligence and speech, audio, image, and video processing, with computer vision and deep learning at its core. Its fundamental research seeks to develop models capable of learning meaningful representations of complex data and to understand the cognitive processes involved in the generation and perception of audiovisual information as a means of advancing intelligent technologies. Its methodological interests include representation learning, transfer and multi-task learning, knowledge distillation, domain adaptation, self-supervised learning, multimodal learning, and explainable artificial intelligence. These methods are applied to a range of real-world problems, including computer-aided diagnosis and biomedical data analysis, human behaviour and affective computing, human–robot interaction, and remote sensing.

Radiofrequency, Electromagnetics, Microwaves and Antennas Group (GREMA)

GREMA (Radiofrequency, Electromagnetism, Microwaves and Antennas Group) of University Carlos III of Madrid carries out different researches in the area of high frequency electromagnetics. Among them are wideband antennas, active antennas, antenna arrays, filters and multiplexers, use of metamaterials, active and passive devices for microwave , millimeter wave and THz frequency range, and numerical methods for computational electromagnetics. GREMA has a wide experience in applications such as Radioastronomy, Space, Security, Mobile Communications and Scientific Software.

Signal Processing and Learning Group (GTS)

The Signal Processing Group focus on research and education in the following areas:

• detection, estimation and classification of signals and images
• machine learning
• computational statistics in signal processing
• information theory

and related applications in communications, medicine, geophysics or the social sciences.