
Telecommunications and Multimedia
About the Centre
The Centre for Telecommunications and Multimedia (CTM) welcomes close to 200 members, including at least 100 integrated researchers who carry out scientific work in the fields of communications, Artificial Intelligence, and computer science and engineering.
The Centre’s activities cover several Research and Development (R&D) domains:
- Communications and Electronics
- Radio Frequency Technologies
- Optoelectronics
- Microelectronics
- Wireless Communication Networks
- Computer Perception
- Computer Vision applied to Medical Imaging
- Computer Vision applied to Digital Media
- Computer Audio applied to Music
With multidisciplinary teams that include dozens of PhDs, CTM is strongly committed to both European and national research projects, as well as consultancy projects with industry.
Centre Areas
Engenharia de Rádio e Eletrónica
The Radio and Electronics Engineering area aims to develop solutions for future communication, computing, and sensing systems, based on expertise in microwaves, integrated photonics, digital and analogue electronics, and signal processing. These solutions are applied in radio/optical communications, human sensing, and embedded computing. In this context, research is focused on three complementary strands: the development of antennas and reconfigurable devices, exploring heterogeneous architectures and neuromorphic computing to enhance efficiency and adaptability to operational conditions; the pursuit of sustainable approaches, including antennas and electronic circuits based on 3D printing and materials that promote economic and environmental sustainability; and the integration of multi-modal communication and sensing, combining radio and video to enhance system performance and robustness.
Redes Sem Fios
WiN (Wireless Networks) is a research area focused on R&D in wireless communication networks, with the vision of connecting all objects and people to the Internet, even in extreme scenarios. The mission of the area is to develop autonomous communication systems – that is, systems that are intelligent, self-managed, scalable, and capable of understanding the context in which they operate. To fulfil this mission, our research focuses on the following key topics: simulation, self-configuration, cross-layer optimisation, radio resource management, mobility management, and Digital Twins.
Team Members
Team Leaders
Selected Publications
Traffic-aware gateway placement and queue management in flying networks
Coelho, A;Campos, R;Ricardo, M;
2023
AD HOC NETWORKS
Movie trailer genre classification using multimodal pretrained features
Sulun, S;Viana, P;Davies, MEP;
2024
EXPERT SYSTEMS WITH APPLICATIONS
Accumulator size minimization for a fast cumulant-based motion estimator
Cardoso, JS;Corte Real, L;
2005
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
Toward a generic evaluation of image segmentation
Cardoso, JS;Corte Real, L;
2005
IEEE TRANSACTIONS ON IMAGE PROCESSING
Loading Loading Loading Loading
Loading Loading Loading Loading
Loading Loading Loading Loading
Loading Loading Loading Loading
Loading Loading Loading Loading
Loading Loading Loading Loading
Loading Loading Loading Loading
Loading Loading Loading Loading
Loading Loading Loading Loading
Loading Loading Loading Loading
News & Events
Loading Loading Loading Loading Loading Loading Loading Loading Loading
Loading Loading Loading Loading Loading Loading Loading Loading Loading
Loading Loading Loading Loading Loading Loading Loading Loading Loading
Loading Loading Loading Loading Loading Loading Loading Loading Loading
Loading Loading Loading Loading Loading Loading Loading Loading Loading
Loading Loading Loading Loading Loading Loading Loading Loading Loading
Loading Loading Loading Loading Loading Loading Loading Loading Loading
Loading Loading Loading Loading Loading Loading Loading Loading Loading
Loading Loading Loading Loading Loading Loading Loading Loading Loading
Supervised Theses
Machine Learning Applied to Fall Prediction and Detection Using Wearable Sensors
Joana Raquel Cerqueira da Silva
D - 2019
UP-FEUP
Video Based tracking for 3D Scene Analysis
Américo José Rodrigues Pereira
D - 2019
UP-FEUP
Unconstrained Human Pose Estimation to Support Breast Cancer Survivor's Prospective Surveillance
João Pedro da Silva Monteiro
D - 2019
UP-FEUP
A Deep Learning-based Radio-Pathomics Approach for Breast Tumor Signature
Sara Isabel Pires de Oliveira
D - 2019
UP-FEUP
Contact Us
Get in touch with us. We will respond as soon as possible.






