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
- Milton Santos, Luís Bastião Silva, Augusto Silva, Nelson Rocha. DICOM Metadata Analysis for Population Studies. International Journal of E-Health and Medical Communications, vol. 10, no. 1, p. 1-17, January 2019
- Filipe Neves, Salviano F. S. P. Soares, Pedro Assunção. Optimal voice packet classification for enhanced VoIP over priority-enabled networks. Journal of Communications and Networks, December 2018 [IF 2017: 1.252 (Q3, 101/148)]
- D. Chaló, S. Pedrosa, P. Amorim, Sónia Gouveia, C. Sanchez. Propofol TCI reductions do not attenuate significant falls in cardiac output associated with anaesthesia induction and kneechest positioning in spinal surgery. Journal of Neurosurgical Anesthesiology, December 2018 [IF 2017: 3.238 (Q1, 27/124)]
- A. Azevedo, M. L. Pereira, Sónia Gouveia, J. N. Tavares, I. M. Caldas. Sex estimation using the mandibular canine index components. Forensic Science, Medicine and Pathology, December 2018 [IF 2017: 2.027 (Q2, 70/202)]
- M. G. Scotto, C. H. Weiss, T. Moeller, Sónia Gouveia. The Max-INAR(1) model for count processes. TEST, vol. 27, no. 4, p. 850–870, December 2018 [IF 2017: 1.183 (Q2, 51/123)]
- C. H. Weiss, M. G. Scotto, T. Moeller, Sónia Gouveia. The max-BARMA models for Counts with Bounded Support. Statistics and Probability Letters, vol. 143, p. 28-36, December 2018 [IF 2017: 0.58 (Q3, 105/217)]
- Carolina Costa, Leonor Teixeira, Helena Alvelos. Exploring the Usage of MOOCs in Higher Education Institutions: Characterization of the Most Used Platforms. International Journal of Information and Communication Technology Education, vol. 14, no. 4, p. 1-17, October 2018
- Patrícia Simões, Anabela G Silva, João Amaral, Alexandra Queirós, Nelson Rocha, Mário Rodrigues. Features, Behavioral Change Techniques, and Quality of the Most Popular Mobile Apps to Measure Physical Activity: Systematic Search. JMIR mHealth and uHealth, vol. 6, no. 10, October 2018 [IF 2017: 4.541 (Q1, 2/25)]
- A. R. Caseiro, G Ivanova, S. S. Pedrosa, M. V. Branquinho, Petia Georgieva, A. P. P. Barbosa; J. D. Santos; T. Pereira; A. C. Maurício. Human Umbilical Cord Blood Plasma as an Alternative to Animal Sera for Mesenchymal Stem Cells In vitro Expansion for Clinical Applications – A Multicomponent Metabolomic Analysis. PLoS ONE, October 2018 [IF 2017: 2.766 (Q1, 15/64)]
- T. Götz, Ana Maria Tomé, B. Hensel, Elmar W. Lang. MDSLAB: A toolbox for the analysis of point sets using multi-dimensional scaling, hartigan dip test and α-stable distributions. Biomedical Physics and Engineering Express, vol. 4, no. 6, October 2018
- Mafalda Cavalheiro, Catarina Costa, Ana Silva-Dias, Isabel M. Miranda, Can Wang, Pedro Pais, Sandra N. Pinto, Dalila Mil-Homens, Michiyo Sato-Okamoto, Azusa Takahashi-Nakaguchi, Raquel Silva, Nuno P. Mira, Arsénio M. Fialho, Hiroji Chibana, Acácio G. Rodrigues, Geraldine Butler, Miguel C. Teixeira. Unveiling the mechanisms of in vitro evolution towards fluconazole resistance of a Candida glabrata clinical isolate: a transcriptomics approach. Antimicrobial Agents and Chemotherapy, October 2018 [IF 2017: 4.256 (Q1, 33/261)]
- Sónia Gouveia, T. Moeller, C. H. Weiss, M. G. Scotto. A full ARMA model for counts with bounded support and its application to rainy-days time series. Stochastic Environmental Research and Risk Assessment, vol. 32, no. 9, p. 2495–2514, September 2018 [IF 2017: 2.668 (Q1, 9/123)]
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.
