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Facts & Numbers
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Presentation

Artificial Intelligence and Decision Support

At LIAAD, we work on the very strategic area of Data Science, which has an increasing interest worldwide and is critical to all areas of human activity. The huge amounts of collected data (Big Data) and the ubiquity of devices with sensors and/or processing power offer opportunities and challenges to scientists and engineers. Moreover, the demand for complex models for objective decision support is spreading in business, health, science, e-government and e-learning, which encourages us to invest in different approaches to modelling.

Our overall strategy is to take advantage of the data flood and diversification, and to invest in research lines that will help reduce the gap between collected and useful data, while offering diverse modelling solutions.

At LIAAD, our fundamental scientific principals are machine learning, statistics, optimisation and mathematics.

Latest News
Artificial Intelligence

INESC TEC helps identify and quantify reactions to climate change on social media

How do we react to social media posts about climate change? This was the starting point of an international study featuring INESC TEC collaboration, analysing nearly two million posts on the social network X (formerly Twitter) published over 12 years in the Iberian Peninsula.

28th July 2025

Artificial Intelligence

Researchers demonstrate that tobacco mimics and accelerates ageing in human tissues

A team of researchers from INESC TEC, the Faculty of Sciences of the University of Porto, and the Barcelona Supercomputing Centre analysed 46 types of tissues from over 700 individuals. The team concluded that smoking impacts tissue architecture and can cause molecular changes not only in organs directly associated with smoke inhalation, e.g., lungs, but also in tissues from other organs, including the pancreas, thyroid, oesophagus, and specific regions of the brain. In many cases, the effects of smoking significantly overlap with those of ageing.

24th July 2025

Artificial Intelligence

INESC TEC won Arquivo.pt award with platform that gathers 50 years of local election data

Imagine being able to access Portuguese local election data in a structured and intuitive way, from 1976 to the present. This was the idea behind the platform A Minha Região - O teu portal autárquico, developed by INESC TEC researchers Rúben Almeida, Sérgio Nunes and Ricardo Campos, which won first place in the 2025 Arquivo.pt awards.

14th July 2025

Artificial Intelligence

Preventing environmental crimes in waste transportation: INESC TEC has the solution

The EnSafe project (Enhancing Environmental Protection: Anomaly Detection in Waste Transportation using Network Science) is developing AI-based solutions to tackle environmental crimes, focusing on waste transportation chains. EnSafe benefits from the active involvement of INESC TEC, which is developing technologies to detect irregular and suspicious behaviours in a sector that is vulnerable to fraud and environmental corruption.

26th May 2025

Computer Science and Engineering

Consulting Clinical Reports to Support Medical Decisions Made Easier with Award-Winning INESC TEC Tool

Supporting physicians in making complex and rare clinical decisions is the goal of MedLink, a tool developed by researchers at INESC TEC, which won the Best Demo Paper award at the European Conference on Information Retrieval—one of the most prestigious conferences in Europe in the field of information retrieval.

08th May 2025

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Featured Projects

ScopeAI

Sistema inteligente de caracterização e otimização de produto alimentar com base na experiência de consumidores.

2025-2028

CardioComplete

Automatic Complete Reporting of Cardiovascular Findings in Opportunistic Computed Tomography Screening

2025-2026

ATAI

Aplicação de técnicas avançadas na gestão de escalas

2025-2027

PROD_AI

Solução IA/ML preditiva aplicada ao procurement e gestão de produção:

2025-2027

Doc2FraudDetection

Automated Detection of Fraudulent Documents

2025-2026

Easy4ALL

AI Assistant for No-Code Plataform

2024-2026

ATE

Alliance for Energy Transition

2023-2026

PTPumpup

Building Portuguese Language Resources through machine learning and limited human interaction

2021-2024

Team

Facts & Figures

19Papers in indexed journals

2020

14Proceedings in indexed conferences

2020

23Academic Staff

2020