Institute of Electronics and Informatics Engineering of Aveiro
IEETA is a Computer Science and Engineering / Electronics and Electrical Engineering research unit with 50 PhD integrated members (25.3 full-time equivalent). 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.
Some recent publications
- Leonor Teixeira, Vasco Saavedra, Beatriz Sousa Santos, Carlos Ferreira. Portuguese Haemophilia Registry. Set of variables for a computerized solution. Hämostaseologie, vol. (in press), February 2017 [IF 2015: 1.547 (Q4, 54/70)]
- Jacqueline Ferreira, Susana Brás, Carlos F. Silva, Sandra C. Soares. An Automatic Classifier of Emotions Build from Noise Entropy. Psychophysiology, vol. in press, January 2017 [IF 2015: 3.074 (Q2, 20/76)]
- Nuno Gomes, Samuel Silva, Carlos F. Silva, Sandra C. Soares. Beware the Serpent: The Advantage of Ecologically-Relevant Stimuli in Accessing Visual Awareness. Evolution & Human Behavior, vol. (In press), January 2017 [IF 2015: 3.223 (Q1, 11/51)]
- Vera Afreixo, João M. O. S. Rodrigues, Carlos A C Bastos, Ana H.M.P. Tavares, Raquel Silva. Exceptional symmetry by genomic word. Interdisciplinary Sciences: Computational Life Sciences, vol. (accepted) (available online), January 2017
- Luisa Azevedo, Matthew Mort, Antonio C Costa, Raquel Silva, Dulce Quelhas, Antonio Amorim and David N Cooper. Improving the in silico assessment of pathogenicity for compensated variants. European Journal of Human Genetics, vol. 25, no. 1, p. 2-7, January 2017
- A. M. J. Cruz, C. Alves, Sónia Gouveia, M. G. Scotto, M. C. Freitas, H. Wolterbeek. A wavelet-based approach applied to suspended particulate matter time series in Portugal. Air Quality, Atmosphere and Health, vol. 9, no. 8, p. 847–859, December 2016 [IF 2015: 2.324 (Q2, 82/225)]
- Daniel Malafaia, José M. N. Vieira, Ana Maria Tomé. Adaptive threshold spectrum sensing based on expectation maximization algorithm. Physical Communication, vol. 21, p. 60-69, December 2016 [IF 2015: 0.802 (Q3, 174/257)]
- Al-Subari K, Al-Baddai S, Ana Maria Tomé, Volberg G, Ludwig B, Elmar W. Lang. Combined EMD-sLORETA Analysis of EEG Data Collected during a Contour Integration Task. PLoS ONE, vol. 11, no. 12, p. 1-20, December 2016 [IF 2015: 3.057 (Q1, 11/63)]
- Fernando Moreira, Maria João Ferreira, Carla Santos PEreira, and Natércia Durão. Evolution and use of mobile devices in higher education: A case study in Portuguese Higher Education Institutions between 2009/2010 and 2014/2015. Telematics and Informatics, December 2016
- Filipe Pereira, Sara Pereira, Raquel Silva, Luis Teixeira da Costa, Isabel Pereira-Castro. Evolution of the NET (NocA, Nlz, Elbow, TLP-1) protein family in metazoans: insights from expression data and phylogenetic analysis. Scientific Reports, vol. 6, p. 38383, December 2016 [IF 2015: 5.228 (Q1, 7/63)]
- Francisco Curado, João Quintas, António Pascoal. AUV terrain-aided navigation using a Doppler velocity logger. Annual Reviews in Control, vol. 42, p. 166-176, November 2016 [IF 2015: 2.042 (Q2, 17/59)]
- Hamidreza Kasaei, Ana Maria Tomé, Luís Seabra Lopes, Miguel Riem Oliveira. GOOD: A Global Orthographic Object Descriptor for 3D Object Recognition and Manipulation. Pattern Recognition Letters, vol. 83, Part 3, p. 312–320, November 2016 [IF 2015: 1.586 (Q2, 59/130)]
This Research Unit is funded by National Funds through the FCT - Foundation for Science and Technology, in the context of the project UID/CEC/00127/2013.