INESC TEC
INESC TEC
INESC TEC
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INESC TEC

Telecommunications and Multimedia

About 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
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
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

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

See more publications

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

See more supervised theses

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