Logo - IEETA

Logo - IEETA
  • About
  • People
  • Research
    • Biomedical Informatics and Technologies
    • Information Systems and Processing
    • Intelligent Robotics and Systems
  • Projects
  • Publications
  • News
  • Join Us
Logo - IEETA
Logo - IEETA
  • Intelligent Systems for Human Assistance
    The main mission of IEETA is to put the expertise of its members at the service of
    the development of Intelligent Systems for Human Assistance, helping solve problems
    in several domains of knowledge. 
    We strive to develop technologies that are robust,
    reliable, and beneficial for society, while also exploring their ethical implications and
    promoting responsible practices.
  • Leading the Way in AI Innovation and Development
    We aim to advance the field of artificial intelligence through cutting-edge research,
    innovation, and education. Our goal is to be at the forefront of intelligent systems
    research and development, and to create a collaborative community of researchers,
    industry partners, and policymakers who share our vision of using AI to improve
    the world.

Recent News

Full News List

Portuguese Researchers Attend GDI Workshop in Sweden to Strengthen Genomic Data Infrastructure Efforts

Data Science Portuguese Association distingue modelos de previsão desenvolvidos na UA

Paintings: UAveiro software identifies authors and classifies artistic trends

Portugal winner in the world’s largest robotics competition

Recent Publications

Full Publications List

Article

2023

A Comprehensive Analysis of Age and Gender Effects in European...

L. Albuquerque, C. Oliveira, A. Teixeira, P. Sa-Couto, et al
Journal of Voice
10.1016/j.jvoice.2020.10.021

Article

2023

Big data analytics on patents for innovation public policies

M. J. Sousa, G. Jamil, C. E. Walter, M. Au-Yong-Oliveira, et al
Expert Systems
10.1111/exsy.12673

Article

2023

On the extremes of the max-INAR(1) process for time series...

M. G. Scotto, S. Gouveia
Communications in Statistics - Theory and Methods
10.1080/03610926.2021.1923750

Conference

2023

Position Estimator for a Follow Line Robot: Comparison of Least Squares and Machine Learning...

D. Matos, J. Mendes, J. Lima, A. I. Pereira, et al
Lecture Notes in Networks and Systems
10.1007/978-3-031-15226-9_41

Recent Projects

Full Projects List

January 1, 2023

BUA – Balcão Único Automóvel

Build a one-stop shop to simplify State services and allow citizens to issue a single vehicle registration document containing information currently on two services...

November 1, 2022

GDI – Genomic Data Infrastructure

The project is designed to support the European 1+ Million Genomes (1+MG) Initiative. It brings together institutions in 22 countries to provide a cross-border...

July 1, 2022

OLI Health

The project aims the design, technical development, and validation of an innovative solution for the regular monitoring of data related to the health and...

July 1, 2022

RN21 – Natural Resin Integrated Project 21
 Optimization of industrial...

The project is designed to allow companies of the 2nd transformation to make a qualitative leap in their digital age towards Industry 4.0. It is intended...

Logo - IEETA Logo - LASI

This Research Unit is funded by National Funds through the FCT - Foundation for Science and Technology, in the context of the project UIDB/00127/2020.

fct

Useful Links

  • About
  • People
  • Projects
  • Publications
  • News
  • Join Us

Contacts

Campus Universitário de Santiago
3810-193 Aveiro - Portugal

Email: +351 234 370 500
Fax: 351 234 370 545