I am currently an Auxiliary Researcher at the Smarter Cities Research Center (Ci2), Polytechnic Institute of Tomar (IPT). I am also a member of the Centre for Informatics and Systems of the University of Coimbra (CISUC), belonging to the Cognitive and Media Systems (CMS) group and the MIR lab.
I hold a Ph.D. in Information Science and Technology by the University of Coimbra (UC), and previously worked as Assistant Professor (non-tenure) (Professor Adjunto Convidado) and Teaching Assistant at IPT. I have also been a grant holder at CISUC, as well as the Portuguese FCT.
My main research interests connect machine learning, affective computing and music, namely in the fields of Music Emotion Recognition (MER) and Music Information Retrieval (MIR). Additionally, I work on applied research projects dealing with machine learning and software development patterns applied to different problems, from health/well-being to tourism data.
Some of my other interests range from physical exercise, comics, hiking, photography, genealogy, and obviously spending time in nerd side projects such as TOSEC (The Old School Emulation Center).
|Jan 17, 2022||The last paper of the VITASENIOR-MT project, “Usability of a telehealth solution based on TV interaction for the elderly: the VITASENIOR-MT case study” was finally published in the Universal Access in the Information Society (UAIS) journal.|
|Sep 13, 2021||Presentation at COST Action Mobilise CA17106 - Workshop on Machine Learning on Images of Natural History Collections|
|Jul 28, 2021||Two FCT project proposals recomended for funding (I will be co-PI in one of them) 🙌|
|Jun 30, 2021||I have presented (online) our paper “How Does the Spotify API Compare to the Music Emotion Recognition State-of-the-Art?” at SMC 2021 (paper/video).|
|May 11, 2021||Our paper “How Does the Spotify API Compare to the Music Emotion Recognition State-of-the-Art?” was accepted for presentation and for publication in the SMC 2021.|
|Feb 1, 2021||Started working as Auxiliary Researcher at the Smarter Cities Research Center (Ci2).|
|Nov 18, 2020||Our TAFFC paper Novel Audio Features for Music Emotion Recognition has finally been published on IEEE Xplore (Volume: 11, Issue: 4, Oct.-Dec. 1 2020)|
|Oct 28, 2020||2nd prize @ Fraunhofer Challenge 2020|
|Oct 13, 2020||Our paper Audio Features for Music Emotion Recognition: a Survey has been accepted in an upcoming issue of the IEEE Transactions on Affective Computing (early access)|
How Does the Spotify API Compare to the Music Emotion Recognition State-of-the-Art?In Proceedings of the 18th Sound and Music Computing Conference (SMC 2021) 2021Conference Rank: B2 (Qualis)
Audio Features for Music Emotion Recognition: a SurveyIEEE Transactions on Affective Computing 2020Impact Factor (JCR): 10.506*
Novel Audio Features for Music Emotion RecognitionIEEE Transactions on Affective Computing 2020Impact Factor (JCR): 10.506
Emotionally-Relevant Features for Classification and Regression of Music LyricsIEEE Transactions on Affective Computing – TAFFC 2018Impact Factor (JCR): 6.288
Multi-Modal Music Emotion Recognition: A New Dataset, Methodology and Comparative AnalysisIn 10th International Symposium on Computer Music Multidisciplinary Research – CMMR 2013 2013Conference Rank: B5 (Qualis)