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| Gabriella Casalino |
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| Università degli Studi di Bari, |
| Regular Member |
| Personal Web Site: https://sites.google.com/site/cilabuniba/people/gabriella-casalino |
| Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1843 |
| Short Biography |
Gabriella Casalino is currently an Assistant Professor at the CILab laboratory of the department of Informatics, University of Bari, working on machine learning techniques applied to Web Economy domain. This position has been funded by the Italian Ministry of Education, University and Research (M.I.U.R.) through the European funding project AIM (Attraction and International Mobility).
Her research activity is focused on Computational Intelligence with a particular interest for data analysis.
Three are the main themes she is currently working on: 1)Intelligent Data Analysis 2)Computational Intelligence for eHealth, 3)Data Stream Mining.
Topics in which she has produced original contributions include: image analysis, educational data mining, text mining, e-health, bioinformatics and signal processing.
Gabriella Casalino has got the Ph.D. in Computer Science at the Doctoral School in Computer Science of the Department of Informatics, at University of Bari "A. Moro" in 2015. She defended the thesis "Non-negative factorization methods for extracting semantically relevant features in Intelligent Data Analysis". She was awarded by the Italian Ministry of Education, University and Research (M.I.U.R.) with a grant covering the three-year period of her Ph.D. Between February 2014 and June 2014, she spent five months in Mons, Belgium, for a research internship at the Department of Mathematics and Operational Research, Facultè polytechnique, Universitè de Mons, supervised by Prof. Nicolas Gillis.
In 2008 she got a B.Sc. in Computer Science from the University of Bari, and in 2011 she got a M.Sc. in Computer Science from the same University.
She is active in the computer science community as reviewers for international journals, such as Elsevier Information Sciences, Expert Systems With Applications and Pattern Recognition, IEEE Signal Processing Letters, Transactions on Neural Networks and Learning Systems, Transactions on Knowledge and Data Engineering, and she is in the program committee of international conferences such as ICASSP 2020 - The 45th International Conference on Acoustics, Speech,and Signal Processing, KEOD 2020 - The 12th International Conference on Knowledge Engineering and Ontology Development, ECAI 2020 - The 24th European Conference on Artificial Intelligence, AAAI-20 - The Thirty-Fourth AAAI Conference on Artificial Intelligence. She is in the editorial board of the international journal Electronics as topic editor, and she is guest editor of a special issue in the same journal.
Parallel to her research activity, she carries out teaching activities in the Informatics Department of University of Bari. |
| List of top 5 publications in the last 5 years |
G. Casalino, M. Coluccia, M. L. Pati, A. Pannunzio, A. Vacca, A. Scilimati, M.G. Perrone, (2019) Intelligent Microarray Data Analysis through Non-negative Matrix Factorization to Study Human Multiple Myeloma Cell Lines, Applied Sciences, Vol.9, No. 24, ISSN 2076-3417, MDPI, DOI: 10.3390/app9245552 G. Casalino, G. Castellano, C. Mencar, (2019) Data stream classification by dynamic incremental semi-supervised fuzzy clustering, in International Journal on Artificial Intelligence Tools (IJAIT), ISSN 02182130, Vol. 28, No. 8 (2019) 1960009 (26 pages), World Scientific Publishing Company, DOI: 10.1142/S0218213019600091 G. Casalino, G. Castellano, V. Pasquadibisceglie, G. Zaza, (2018) "Contact-less real-time monitoring of cardiovascular risk using video imaging and fuzzy inference rules", Information, 2019, Vol. 10, Issue 1, pp. 2078-2489, 10.3390/info10010009 G. Casalino, C. Castiello, N. Del Buono, C. Mencar, (2018) "A framework for intelligent Twitter data analysis with non-negative matrix factorization", International Journal of Web Information Systems, Vol. 14 Issue: 3, pp.334-356, https://doi.org/10.1108/IJWIS-11-2017-0081 G. Casalino, N. Gillis, (2017), Sequential dimensionality reduction for extracting localized features, Pattern Recognition, Volume 63, March 2017, Pages 15-29, ISSN 0031-3203, http://dx.doi.org/10.1016/j.patcog.2016.09.006. |
| List of top 5 academic activities during the last 5 years |
Publication co-Chair at HELMeTo, ”International Workshop on HigherEducation Learning Methodologies and Technologies Online”, Bari (Italy), September 17-18, 2020 Local Arrangement and Web Publicity co-Chair at IEEE EAIS2020, ”The 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems”, Bari (Italy), May 27-29, 2020 Publicity Chair at SFLA2018, ”4th European Summer School on FuzzyLogic and Applications”, Bari (Italy), June 25-29, 2018 |