Synthetic Intelligence group (ISLab)

ISLab has the vision that intelligent solutions should focus on being useful to the environment where they are integrated. Thus, Synthetic Intelligence is seen as a way of promoting innovation and providing solutions, to society and institutions, in real domains. Currently, the group engages in projects of various kinds, from Computational Sustainability to Ambient Intelligence, in which well-being and sustainability are areas that stand out.

The main lines of research that have been pursued in the last years, despite being naturally different, share some core ideas that bind them:

  • The use of techniques from Artificial Intelligence/Intelligent Systems;
  • The use of non-invasive and non-intrusive approaches.

In the last years, the group has been applying these ideas in specific domains, always with a very practical sense of solving existing problems. Specifically, the group has acquired competences, namely in the following fields:

  • Intelligent Systems;
  • Machine Learning;
  • Ambient Intelligence;
  • Behavioural Analysis;
  • Computational Sustainability and Smart Cities;
  • Medical Informatics;
  • Applications of Synthetic Intelligence;
  • Ethics, Privacy and Data Protection.

ISLab leader: Paulo Novais

ISLab Links:

RecentĀ ISLab Publications:

A predictive and user-centric approach to Machine Learning in data streaming scenarios


2021 | journal-article

Supervising and Improving Attentiveness in Human Computer Interaction

2016 | journal-article

Using computer peripheral devices to measure attentiveness

Advances in Intelligent Systems and Computing

2016 | book

Human-computer interaction in intelligent tutoring systems

Advances in Intelligent Systems and Computing

2020 | book

Monitoring Level Attention Approach in Learning Activities

Methodologies and Intelligent Systems for Technology Enhanced Learning, 6th International Conference, MIS4TEL 2016, Sevilla, Spain, 1-3 June, 2016

2016 | conference-paper

Modelling an orientation system based on speculative computation

Advances in Intelligent Systems and Computing

2014 | book

Adapting the user path through trajectory data mining

Advances in Intelligent Systems and Computing

2017 | book

Adapting the User Path Through Trajectory Data Mining


2017 | journal-article

Orientation system for people with cognitive disabilities

Advances in Intelligent and Soft Computing

2012 | book

Orientation system based on speculative computation and trajectory mining

Communications in Computer and Information Science

2016 | book