Universidade Fernando Pessoa · Porto

LIACC @ UFP Artificial Intelligence and Computer Science Laboratory

We research artificial intelligence for the real world — machine learning, computer vision and ubiquitous systems, applied to health, industry and sustainability.

See our research
265
Publications
5
Active projects
2007
Research group founded
2015
Working with LIACC
2024
LIACC pole at UFP

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We work with students, companies and other research groups — on theses, R&D projects and technology transfer.

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What we work on

Artificial intelligence and machine learning

Deep learning, reinforcement learning and language technologies — speech recognition and large language models (LLM) — from medical image analysis to automated clinical reporting.

Computer vision and imaging

Hyperspectral imaging, image analysis and activity recognition, applied in industry and in health care.

Ubiquitous computing and IoT

Wireless sensor networks, edge computing and smart spaces that monitor air quality, buildings and homes.

Health and assisted living

Systems that support patients, clinicians and older adults, from remote monitoring to healthy ageing.

Security and blockchain

Trustworthy records and credentials, such as academic certificates and electronic voting on a blockchain, and privacy-preserving distributed systems.

Web and mobile systems

Recommender systems, interactive applications and mobile platforms built for real users.

Research

Project

EMBRACE: From Vulnerability to Empowerment

Universidade Fernando Pessoa (UFP) leads EMBRACE — From Vulnerability to Empowerment, a research project that implements and evaluates a multicomponent programme to…

Project · until 2028

MediSpeech: Automated Medical Reporting with AI

Universidade Fernando Pessoa (UFP) is a co-promoter of MediSpeech — Improved efficiency in automated medical reporting to enhance doctor and patient experience, an international…

Latest news

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31 Jul 2026 · Events

PrecisionPlastics at AOP 2026

Researchers Rui Carvalho and Bruna Neiva, from the PrecisionPlastics project, presented the paper “Automated Polymer Pellet Classification Using Short-Wave Infrared Hyperspectral Imaging”…