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
- Joaquı́n Garcı́a-Sobrino, Armando J. Pinho, Joan Serra-Sagristà. Competitive segmentation performance on near-lossless and lossy compressed remote sensing images. IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 5, p. 834-838, May 2020 [IF 2018: 3.534 (Q1, 7/28)]
- Morteza Hosseini, Diogo Pratas, Burkhard Morgenstern, Armando J. Pinho. Smash++: an alignment-free and memory-efficient tool to find genomic rearrangements. GigaScience, vol. 9, no. 5, May 2020 [IF 2018: 4.688 (Q1, 13/69)]
- Hassan Alizadeh, Harald Vranken, André Zúquete, Ali Miri. Timely Classification and Verification of Network Traffic using Gaussian Mixture Models. IEEE Access, vol. 8, no. 1, p. 91287-91302, May 2020 [IF 2018: 4.098 (Q1, 23/145)]
- Simon Wein, Ana Maria Tomé, Markus Goldhacker, Mark W. Greenlee, Elmar W. Lang. A Constrained ICA-EMD Model for Group Level fMRI Analysis. Frontiers in Neuroscience, vol. 14, p. 221, April 2020 [IF 2018: 3.648 (Q2, 92/267)]
- João Branquinho, Carlos Senna, André Zúquete. An Efficient and Secure Alert System for VANETs to Improve Crosswalks’ Security in Smart Cities. Sensors, vol. 20, no. 9, p. 26, April 2020 [IF 2018: 3.031 (Q1, 15/61)]
- Nuno Marques, João Paulo Barraca, André Zúquete. EAP‑SH: An EAP Authentication Protocol to Integrate Captive Portals in the 802.1X Security Architecture. Wireless Personal Communications, p. 25, April 2020 [IF 2018: 0.929 (Q4, 78/88)]
- D. Chaló, S. Pedrosa, P. Amorim, Sónia Gouveia, C. Sancho. 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, vol. 32, no. 2, p. 147-155, April 2020 [IF 2018: 2.957 (Q2, 11/31)]
- Micael Pedrosa, André Zúquete, Carlos Costa. RAIAP: renewable authentication on isolated anonymous profiles. Peer-to-Peer Networking and Applications, p. 23, April 2020 [IF 2018: 2.397 (Q2, 70/155)]
- C. Gouveia, Ana Maria Tomé, F. Barros, S. C. Soares, José M. N. Vieira, P. Pinho. Study on the usage feasibility of continuous-wave radar for emotion recognition. Biomedical Signal Processing and Control, vol. 58, April 2020 [IF 2018: 2.943 (Q2, 27/80)]
- S. Al-Baddai, P. Marti-Puig, E. Gallego-Jutglà, K. Al-Subari, Ana Maria Tomé, B. Ludwig, Elmar W. Lang, J. Solé-Casals. A recognition–verification system for noisy faces based on an empirical mode decomposition with Green’s functions. Soft Computing, vol. 24, no. 5, p. 3809-3827, March 2020 [IF 2018: 2.784 (Q2, 53/134)]
- Marco Rosa, João Paulo Barraca, Nelson Rocha. Blockchain structures to guarantee logging integrity of a digital platform to support community-dwelling older adults. Cluster Computing, March 2020 [IF 2018: 1.851 (Q2, 41/105)]
- Anabela Silva, Patrícia Simões, Alexandra Queirós, Nelson Rocha, Mário Rodrigues. Effectiveness of Mobile Applications Running on Smartphones to Promote Physical Activity: A Systematic Review with Meta-Analysis. International Journal of Environmental Research and Public Health, vol. 17, no. 7, p. 2251, March 2020 [IF 2018: 2.468 (Q1, 38/164)]
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.
