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
- Anabela G. Silva, Alexandra Queirós, Nelson Rocha. Functioning and primary healthcare utilization in older adults: a 1-year follow up study. Physiotherapy Theory and Practice, vol. 35, no. 3, p. 278-287, March 2019 [IF 2017: 1.129 (Q3, 48/65)]
- Morteza Hosseini, Diogo Pratas, Armando J. Pinho. AC: A Compression Tool for Amino Acid Sequences. Interdisciplinary Sciences: Computational Life Sciences, February 2019 [IF 2017: 0.796 (Q4, 54/59)]
- Valery Sklyarov, Iouliia Skliarova, I. Utepbergenov, A. Akhmediyarova. High-Performance Information Processing in Distributed Computing Systems. International Journal of Innovative Computing, Information and Control, vol. 15, no. 1, p. 321-335, February 2019 [IF 2017: 1.667 (Q1, 12/60)]
- 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
- Samuel Silva, António J. S. Teixeira. Design and Development for Individuals with ASD: Fostering Multidisciplinary Approaches through Personas. Journal of Autism and Developmental Disorders, p. accepted, January 2019 [IF 2017: 3.476 (Q1, 29/299)]
- R. Queirós, Sónia Gouveia, J. A. Saraiva, J. A. Lopes-da-Silva. Impact of pH on the high-pressure inactivation of microbial transglutaminase. Food Research International, vol. 115, p. 73-82, January 2019 [IF 2017: 3.520 (Q1, 18/307)]
- 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, January 2019 [IF 2017: 3.238 (Q1, 27/124)]
- 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, vol. 63, no. 1, January 2019 [IF 2017: 4.256 (Q1, 33/261)]
- Sérgio Matos. Configurable web-services for biomedical document annotation. Journal of Cheminformatics, vol. 10, p. 68, December 2018 [IF 2017: 3.893 (Q1, 16/148)]
- 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, vol. 6, no. 20, p. 554-564, December 2018 [IF 2017: 1.252 (Q3, 101/148)]
- 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)]
This Research Unit is funded by National Funds through the FCT - Foundation for Science and Technology, in the context of the project UID/CEC/00127/2019.
