Institute of Electronics and Informatics Engineering of Aveiro
From IEETA
Overview
IEETA is a Computer Science and Engineering / Electronics and Electrical Engineering research unit with 34.4 full-time equivalent (FTE) members with PhD. It is organized in three Groups, two of them more application oriented (Biomedical Informatics and Technologies, and Intelligent Robotics and Systems), the other one of a more fundamental nature (Information Systems and Processing), mapping the major scientific areas of activity of its researchers. Empowered by its internal diversity and strong collaborative environment, IEETA has been able to provide important contributions in problems that require a high level of multidisciplinarity.
IEETA has a vast experience in joint projects with the industry, some of them resulting in the creation of spin-offs and start-ups, patents and trademarks, both national and international, and a number of products that have been licensed and are in use by the industry.
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Some recent publications
- Adriana Murraças, Paula Martins, Carlos Ferreira, Tiago Godinho, Augusto Silva. Data Mining of MR Technical Parameters: A Case Study for SAR in a Large-Scale MR Repository. International Journal of E-Health and Medical Communications (IJEHMC), vol. 12, January 2021
- Anabela G Silva, Hilma Caravau, Ana Isabel Martins, Ana Margarida Pisco Almeida, Telmo Silva, Óscar Ribeiro, Gonçalo Santinha, Nelson Rocha. Procedures of User-Centered Usability Assessment for Digital Solutions: Scoping Review of Reviews Reporting on Digital Solutions Relevant for Older Adults. JMIR Human Factors, vol. 8, no. 1, p. e22774, January 2021
- David Bastos, José Ribeiro, Fernando Silva, Mário Rodrigues, Anabela Gonçalves Silva, Alexandra Queirós, Antonio Fernández-Caballero, Nelson Rocha, António Pereira. SmartWalk BAN: Using Body Area Networks to Encourage Older Adults to Perform Physical Activity. Electronics, vol. 10, no. 56, January 2021
- Luciana Albuquerque, Catarina Oliveira, António J. S. Teixeira, Pedro Sá-Couto, Daniela Figueiredo. A Comprehensive Analysis of Age and Gender Effects in European Portuguese Oral Vowels. Journal of Voice, December 2020 [IF 2020: 1.903 (Q1)]
- João Almeida, Diogo Pratas, José Luís Oliveira. A semi-automatic methodology for analysing distributed and private biobanks. Computers in Biology and Medicine, p. 104180, December 2020 [IF 2018: 2.895]
- Milton Silva, Diogo Pratas, Armando J. Pinho. Efficient DNA sequence compression with neural networks. GigaScience, vol. 9, no. 11, p. giaa119, November 2020 [IF 2018: 4.688 (Q1, 13/69)]
- Samuel Silva, Nuno Almeida, Conceição Cunha, Arun Joseph, Jens Frahm, António J. S. Teixeira. Data-Driven Critical Tract Variable Determination for European Portuguese. Information, vol. 11, no. 10, p. 491, October 2020
- João Estêvão, Maria João Carneiro, Leonor Teixeira. Destination Management Systems: key distinctive functionalities aimed at visitors and destination suppliers. Journal of Global Information Technology Management, October 2020
- Miguel Riem Oliveira, Afonso Castro, Tiago Madeira, Eurico Pedrosa, Paulo Dias, Vitor Santos. A ROS Framework for the Extrinsic Calibration of Intelligent Vehicles: a Multi-Sensor, Multi-Modal Approach. Robotics and Autonomous Systems, vol. 131, September 2020 [IF 2018: 2.928 (Q2, 45/134)]
- Mari Toppinen, Diogo Pratas, Elina Väisänen, Maria Söderlund-Venermo, Klaus Hedman, Maria F. Perdomo, Antti Sajantila. The landscape of persistent human DNA viruses in femoral bone. Forensic Science International: Genetics, vol. 48, p. 102353, September 2020 [IF 2018: 4.884 (Q1, 1/17)]
- Diogo Pratas, Mari Toppinen, Lari Pyöriä, Klaus Hedman, Antti Sajantila, Maria F. Perdomo. A hybrid pipeline for reconstruction and analysis of viral genomes at multi-organ level. GigaScience, vol. 9, no. 8, p. 11, August 2020 [IF 2018: 4.688 (Q1, 13/69)]
- Diogo Pratas, Jorge Miguel Silva. Persistent minimal sequences of SARS-CoV-2. Bioinformatics, vol. btaa686, p. 4, August 2020 [IF 2018: 4.531 (Q1, 4/59)]
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.
