Susana Nascimento

Susana Nascimento is Assistant Professor at the Department of Computer Science of NOVA School of Science and Technology, Universidade NOVA de Lisboa since September 2003, and researcher of the Intelligent Systems group of NOVA LINCS. From 1999 to 2002 she was a teaching assistant at the Faculty of Psychology of Universidade de Lisboa in the group of Statistics and Data Analysis. She holds a degree in Computer Science Engineering (1989) and a PhD in Computer Science (2002) both from Universidade NOVA de Lisboa. Susana Nascimento’s main research is oriented towards the development of clustering methods providing more flexible algorithms with special attention on the interpretability of clustering results in real-world applications. She has been PI of two national FCT projects and participated in several national and international projects. Main research achievements include: • Fuzzy clustering method that models clusters representatives as pure individual types assigned by the most discriminating features of data points. This method allows the reconstruction of the data from the found cluster structure. Application to synthetic and clinical data. • Fuzzy spectral clustering for graph data with automatic determination of the level of resolution of clustering parameters, and Recursive Parsimonious Generalization method to represent clusters over domain taxonomies. Application to the analysis of data science tendencies using ACM-CCS taxonomy. • Spatiotemporal clustering for piecewise modelling of dynamics of coastal upwelling from SST images. Clustering parameters are derived from least-squares clustering criteria. Publicly available software tool applied to 16 years of SST data from the Canary Current Upwelling System. She has supervised two post-doc (FCT post-doctoral fellow) and more than 30 master theses. Held short-term research visits to DIMACS Rutgers University (USA) (1998,1999) and Birkbeck College London (2010,2015). She has reviewed and served in several program committees in international conferences, has been co-chairing special sessions in the IDEAL conference (2020-2023), and regularly peer-reviewed for several international journals.