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NOVA LINCS Group: IS-Intelligent Systems Research Topics: Unsupervised Learning and Clustering Google Scholar: https://scholar.google.com/citations?hl=en&user=FRBrGgYAAAAJ&view_op=list_works&sortby=pubdate 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. Selected Publications: • S. Nascimento, A. Martins, P. Relvas, JF Luís, B. Mirkin (2023): Piece-wise constant cluster modelling of dynamics of upwelling patterns. Expert Systems, e13446. https://doi.org/10.1111/exsy.13446 • S. Nascimento, A. Martins, P. Relvas, JF Luís, B. Mirkin (2023): Core-shell clustering approach for detection and analysis of coastal upwelling. Computers & Geosciences, 105421. https://doi.org/10.1016/j.cageo.2023.105421 • D. Frolov, S. Nascimento, T. Fenner, B. Mirkin (2020): Parsimonious generalization of fuzzy thematic sets in taxonomies applied to the analysis of tendencies of research in data science. Information Sciences 512, 595-615. https://doi.org/10.1016/j.ins.2019.09.082 • D. Frolov, S. Nascimento, T. Fenner, B. Mirkin (2019): Using taxonomy tree to generalize a fuzzy thematic cluster. 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6. 10.1109/FUZZ-IEEE.2019.8859015 • S. Nascimento, B. Mirkin (2017): Ideal type model and an associated method for relational fuzzy clustering. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6. 10.1109/FUZZ-IEEE.2017.8015473
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Identification

Personal identification

Full name
Susana Maria dos Santos Nascimento Martins de Almeida

Citation names

  • Nascimento, Susana

Author identifiers

Ciência ID
4013-B1AE-2DEB
ORCID iD
0000-0001-5328-0577
Google Scholar ID
https://scholar.google.com/citations?user=FRBrGgYAAAAJ&hl=en
Researcher Id
D-7773-2012
Scopus Author Id
7003805775

Knowledge fields

  • Exact Sciences - Computer and Information Sciences - Computer Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
French Intermediate (B1) Intermediate (B1) Beginner (A1) Intermediate (B1)
Education
Degree Classification
2002
Concluded
 Doutoramento em Informática (Doutoramento)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
"Fuzzy Clustering via Proportional Membership Model." (THESIS/DISSERTATION)
 Aprovada por unanimidade (classificação máxima)
1992
Concluded
 Mestrado em Engenharia Informática (Curso de mestrado (conclusão do curso de especialização))
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
 17 valores
1989
Concluded
 Licenciatura em Engenharia Informática (Licenciatura)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
 16 Valores
Affiliation

Science

Category
Host institution 		Employer
2015/01/01 - Current Researcher (Research) Universidade Nova de Lisboa Laboratório para a Ciência da Computação e Informática, Portugal
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2015/11/02 - 2016/01/30 Visiting Researcher (Research) Birkbeck University of London, United Kingdom
2003/02 - 2014/12/31 Researcher (Research) Universidade Nova de Lisboa Centro para a Inteligência Artificial (CENTRIA), Portugal
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2010/03/01 - 2010/03/31 Visiting Researcher (Research) Birkbeck University of London, United Kingdom
2010/01/04 - 2010/01/31 Visiting Researcher (Research) Birkbeck University of London, United Kingdom
1999/09/01 - 1999/09/30 Research Trainee (Research) Center for Discrete Mathematics and Theoretical Computer Science, United States
1995/10 - 1999/04 Research Trainee (Research) Fundação para a Ciência e a Tecnologia, Portugal
Universidade Nova de Lisboa Departamento de Informática, Portugal
1998/11/02 - 1998/12/05 Research Trainee (Research) Center for Discrete Mathematics and Theoretical Computer Science, United States
Center for Discrete Mathematics and Theoretical Computer Science, United States
1998/01/05 - 1998/02/05 Research Trainee (Research) Center for Discrete Mathematics and Theoretical Computer Science, United States
1992/10 - 1994/10 Research Trainee (Research) Fundação para a Ciência e a Tecnologia, Portugal
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
1990/10 - 1992/10 Research Trainee (Research) Fundação para a Ciência e a Tecnologia, Portugal
Universidade Nova de Lisboa Departamento de Informática, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2003/09/01 - Current Assistant Professor (University Teacher) Universidade Nova de Lisboa, Portugal
2003/01/01 - 2003/08/31 Assistant Professor (University Teacher) Universidade Lusófona de Humanidades e Tecnologias, Portugal
1999/05/01 - 2002/10/31 Lecturer (University Teacher) Universidade de Lisboa Faculdade de Psicologia, Portugal
Projects

Grant

Designation Funders
1996 - 2000 Fuzzy Clustering via Proportional Membership
PT/FCT/FCT/DFA/001/0121/447
PhD Student Fellow
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded

Contract

Designation Funders
2021/03/21 - 2025/03/20 FLORESTA LIMPA - Vigilância automática e participada das zonas de protecção contra incêndios florestais
PCIF/MOG/0161/2019
Instituto Português do Mar e da Atmosfera, Portugal

Universidade Nova de Lisboa Laboratório para a Ciência da Computação e Informática, Portugal

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal

Universidade Nova de Lisboa Associação para a Inovação e Desenvolvimento da FCT, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2020/01/01 - 2024/12/31 NOVA Laboratory for Computer Science and Informatics
UIDB/04516/2020
Researcher
Universidade Nova de Lisboa Laboratório para a Ciência da Computação e Informática, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2020/04/01 - 2023/10/30 MATISSE: A machine learning based forecasting system for shellfish safety
DSAIPA/DS/0026/2019
Researcher
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2019/01/01 - 2019/12/31 NOVA Laboratory for Computer Science and Informatics
UID/CEC/04516/2019
Researcher
Universidade Nova de Lisboa Laboratório para a Ciência da Computação e Informática, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2015/01/01 - 2018/12/31 NOVA Laboratory for Computer Science and Informatics
UID/CEC/04516/2013
Researcher
Universidade Nova de Lisboa Laboratório para a Ciência da Computação e Informática, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2011/01/01 - 2013/12/31 Projecto Estratégico - UI 526 - 2011-2012
PEst-OE/EEI/UI0526/2011
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal

Universidade Nova de Lisboa Laboratório para a Ciência da Computação e Informática, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2008/09/01 - 2011/12/29 Learning Spatio-Temporal Oceanographic Patterns (LSTOP)
PTDC/EIA/68183/2006
Principal investigator
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2008/10/01 - 2011/11/30 Computational Approach to Ontology Profiling of Scientific Research Organisations
PTDC/EIA/69988/2006
Principal investigator
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2004/09/01 - 2007 Remote Detection of Mediterranean Water Eddies in the Northeast Atlantic (RENA).
info:eu-repo/grantAgreement/FCT/PDCTE/49945/PT
Researcher
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal

Universidade Nova de Lisboa Centro para a Inteligência Artificial (CENTRIA), Portugal
Fundação para a Ciência e a Tecnologia

European Space Agency
Concluded
1997 - 2001 Extraction of Knowledge from Databases - ECO
2/2.1/TIT/1649/95
Researcher
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
1990 - 1992 Hypothetical Reasoning in Multi-Agent Systems: Application to Medicine (RHESMA)
PMCT/C/TIT/861/90
Scientific Initiation Fellow
Universidade Nova de Lisboa Centro para a Inteligência Artificial (CENTRIA), Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
Outputs

Publications

Book
  1. Nascimento, Susana. Fuzzy Clustering via Proportional Membership Model. IOS Press. 2005.
    Published
Book chapter
  1. Nascimento, S.; Mirkin, B.. "Applying anomalous cluster approach to spatial clustering". In Uncertainty Modeling, Studies in Computational Intelligence,, 147-157. Springer International Publishing (Switzerland),, 2017.
    Published • 10.1007/978-3-319-51052-1_10
  2. Nascimento, Susana. "Applying the Gradient Projection Method to a Model of Proportional Membership for Fuzzy Cluster Analysis". In Optimization and Its Applications in Control and Data Sciences, 353-380. Springer International Publishing, 2016.
    Published • 10.1007/978-3-319-42056-1_13
  3. Mirkin, Boris; Nascimento, Susana; Pereira, Luís Moniz. "Method for Intelligent Representation of Research Activities of an Organization over a Taxonomy of Its Field". In Advances in Reasoning-Based Image Processing Intelligent Systems, 423-454. Springer Berlin Heidelberg, 2012.
    Published • 10.1007/978-3-642-24693-7_14
  4. Mirkin, Boris; Nascimento, Susana; Pereira, Luís Moniz. "Cluster-Lift Method for Mapping Research Activities over a Concept Tree". In Studies in Computational Intelligence, 245-257. Springer Berlin Heidelberg, 2010.
    Published • 10.1007/978-3-642-05179-1_12
  5. J. Fox; M. Ginzler; A. Glowinski; C. Gordon; et. al.; Nascimento, Susana. "LEMMA: Methods and Architectures for Logic Engineering in Medicine". In Advances in Medical Informatics, 216-224. IOS Press, 1992.
    Published
Conference paper
  1. Coelho, Henrique; Nascimento, Susana; Damásio, Carlos Viegas; Bugalho, Lourdes; Severino, Gonçalo. Corresponding author: Nascimento, Susana. "Extreme Fire Severity Classification using Clustering and Decision Tree". Paper presented in IX International Conference on Forest Fire Research, Coimbra, Portugal, 2022.
    Published • 10.14195/978-989-26-2298-9_28
  2. Susana Nascimento; Alexandre Martins; Paulo Relvas; Joaquim Luis; Boris Mirkin. "Novel Cluster Modeling for the Spatiotemporal Analysis of Coastal Upwelling". Paper presented in 21st EPIA Conference on Artificial Intelligence, Lisboa, Portugal, 2022.
    Published • 10.1007/978-3-031-16474-3_46
  3. Zhirayr Hayrapetyan; Susana Nascimento; Trevor Fenner; Dmitry Frolov; Boris Mirkin. "Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion". Paper presented in 10th World Conference on Information Systems and Technologies (WorldCIST 2022), Budva, Montenegro, 2022.
    Published • 10.1007/978-3-031-04819-7_15
  4. Susana Nascimento; Sayed Mateen; Paulo Relvas. "Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images". Paper presented in International Conference on Intelligent Data Engineering and Automated Learning . IDEAL 2020, Guimarães, Portugal, 2020.
    Published • 10.1007/978-3-030-62365-4_41
  5. Mirkin, Boris; Frolov, D.; Vlasov, A; Nascimento, Susana; Fenner, T.. "A Hybrid Approach to the Analysis of a Collection of Research Papers". Paper presented in 21st International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2020), Guimarães, Portugal, 2020.
    Published • https://doi.org/10.1007/978-3-030-62365-4_40
  6. Mirkin, Boris; Frolov, Dmitry; Vlasov, Alex; Nascimento, Susana; Fenner, Trevor. "A Hybrid Approach to Interpretable Analysis of Research Paper Collections". Paper presented in WIMS 2020: 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, 2020.
    Published • 10.1145/3405962.3405976
  7. Susana Nascimento; Nuno Madaleno. "Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering". Paper presented in 20th International Conference on Intelligent Data Engineering and Automated Learning, Manchester, United Kingdom, 2019.
    Published • 10.1007/978-3-030-33617-2_2
  8. Frolov, D.; Nascimento, S.; Fenner, T.; Taran, Z.; Mirkin, B.. "Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences". Paper presented in 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'2019), Manchester, United Kingdom, 2019.
    Published • 10.1007/978-3-030-33617-2_1
  9. Frolov, Dmitry; Mirkin, Boris; Nascimento, Susana; Fenner, Trevor. "Globally Optimal Parsimoniously Lifting a Fuzzy Query Set Over a Taxonomy Tree". Paper presented in 6th World Congress on Global Optimization (WCGO 2019), Metz, France, 2019.
    Published • 10.1007/978-3-030-21803-4_78
  10. Frolov, Dmitry; Nascimento, Susana; Fenner, Trevor; Mirkin, Boris. "Using Taxonomy Tree to Generalize a Fuzzy Thematic Cluster". Paper presented in IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019), New Orleans, USA, 2019.
    Published • 10.1109/fuzz-ieee.2019.8859015
  11. Frolov, D.; Mirkin, B.; Nascimento, S.; Fenner, T.. "Method for Generalization of Fuzzy Sets". Paper presented in The 18th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2019), Zakopane, Poland, 2019.
    Published • 10.1007/978-3-030-20912-4_26
  12. Frolov, D.; Nascimento, S.; Fenner, T.; Mirkin, B.. "Using Domain Taxonomy to Model Generalization of Thematic Fuzzy Clusters". Paper presented in The Eleventh International Conference on Creative Content Technologies (CONTENT 2019), Venice, Italy, 2019.
    Published • 10.1109/FUZZ-IEEE.2019.8859015
  13. Damásio, Carlos Viegas; L. Bugalho; P. Medeiros; Susana Nascimento; L. D. Santos. "Feature selection for burned area classification in the Castelo de Paiva region". Paper presented in 8th International Conference on Forest Fire Research, Coimbra, Portugal, 2018.
    Published • 10.14195/978-989-26-16-506_112
  14. Gonçalo Sousa Mendes; Susana Nascimento. "A Study of Fuzzy Clustering to Archetypal Analysis". Paper presented in 19th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2018, Madrid, Spain, 2018.
    Published • 10.1007/978-3-030-03496-2_28
  15. Matilde Castro Oliveira; Manuel L. Esquivel; Susana Nascimento; Hugo Lopes; Gracinda Rita Guerreiro. "Estimation of Markov Transition Probabilities via Clustering". Paper presented in Symposium on Big Data in Finance, Retail and Commerce: Statistical and Computational Challenges, Lisboa, Portugal, 2017.
    Published
  16. Nascimento, S.; Mirkin, B.. "Ideal type model and an associated method for relational fuzzy clustering". Paper presented in 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy, 2017.
    Published • 10.1109/FUZZ-IEEE.2017.8015473
  17. Susana Nascimento. "Representing research activities in a hierarchical ontology". Paper presented in Int. Workshop on Combinations of Intelligent Methods and Applications ; co-located 20th European Conference on Artifitial Intelligence (ECAI-12), Montpellier, France, 2012.
    Published
  18. Nascimento, S.; Felizardo, R.; Mirkin, B.. "Thematic fuzzy clusters with an additive spectral approach". Paper presented in 15th Portuguese Conference on Artificial Intelligence (EPIA'11), Lisboa, Portugal, 2011.
    Published • 10.1007/978-3-642-24769-9_33
  19. Mirkin, Boris; Nascimento, Susana; Fenner, Trevor; Felizardo, Rui. "How to Visualize a Crisp or Fuzzy Topic Set over a Taxonomy". Paper presented in 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI), Moscow, Russia, 2011.
    Published • 10.1007/978-3-642-21786-9_2
  20. Chernyak, E.; Chugunova, O.; Askarova, J.; Nascimento, S.; Mirkin, B.. "Abstracting concepts from text documents by using an ontology". Paper presented in CDUD’11 – Concept Discovery in Unstructured Data, Workshop co-located with the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC-2011, Moscow, Russia, 2011.
    Published
  21. Mirkin, Boris G.; Nascimento, Susana. "Developing Additive Spectral Approach to Fuzzy Clustering". Paper presented in 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Moscow, Russia, 2011.
    Published • 10.1007/978-3-642-21881-1_43
  22. Mirkin, Boris; Nascimento, Susana; Fenner, Trevor; Pereira, Luís Moniz. "A Hybrid Cluster-Lift Method for the Analysis of Research Activities". Paper presented in 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010), San Sebastián, Spain, 2010.
    Published • 10.1007/978-3-642-13769-3_19
  23. Mirkin, Boris; Nascimento, Susana; Fenner, Trevor; Pereira, Luís Moniz. "Constructing and Mapping Fuzzy Thematic Clusters to Higher Ranks in a Taxonomy". Paper presented in 4th Int. Conf. on Knowledge Science, Engineering & Management (KSEM 2010), Belfast, Ireland, 2010.
    Published • 10.1007/978-3-642-15280-1_31
  24. Nascimento, Susana; Franco, Pedro. "Segmentation of Upwelling Regions in Sea Surface Temperature Images via Unsupervised Fuzzy Clustering". Paper presented in International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2009, Burgos, Spain, 2009.
    Published • 10.1007/978-3-642-04394-9_66
  25. Nascimento, Susana; Franco, Pedro. "Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images". Paper presented in Int. Conference on Discovery Science, Porto, Portugal, 2009.
    Published • 10.1007/978-3-642-04747-3_18
  26. Mirkin, B.; Nascimento, S.; Pereira, L.M.. Corresponding author: Nascimento, S.. "Representing a computer science research organization on the ACM computing classification system". Paper presented in 16th International Conference on Conceptual Structures, Toulouse, France, 2008.
    Published
  27. Fernandes, A.; Nascimento, S.. "Automatic water eddy detection in SST maps using random ellipse fitting and vectorial fields for image segmentation". Paper presented in The Ninth International Conference on Discovery Science (DS-2006), Barcelona, Spain, 2006.
    Published • https://doi.org/10.1007/11893318_11
  28. Nascimento, S.; Casimiro, H.; Sousa, F.M.; Boutov, D.. "Applicability of fuzzy clustering for the identification of upwelling areas on sea surface temperature images". Paper presented in 2005 UK Workshop on Computational Intelligence, London, UK, 2005.
    Published
  29. Nascimento, S.; Mirkin, B.; Moura-Pires, F.. "Proportional membership in fuzzy clustering as a model of ideal types". Paper presented in 10th Portuguese Conference on Artificial Intelligence, Porto, Portugal, 2001.
    Published • https://doi.org/10.1007/3-540-45329-6_9
  30. Nascimento, S.; Mirkin, B.; Moura-Pires, F.. "A fuzzy clustering model of data with proportional membership". Paper presented in 19th International Conference of the North American Fuzzy Information Processing Society-NAFIPS, Atlanta, USA, 2000.
    Published • 10.1109/NAFIPS.2000.877433
  31. Nascimento, Susana. "Proportional Membership for Fuzzy Clustering via Alternating Cluster Estimation". Paper presented in 8th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU' 00), Madrid, Spain, 2000.
    Published
  32. Nascimento, S.; Mirkin, B.; Moura-Pires, F.. "A fuzzy clustering model of data and fuzzy c-means". Paper presented in Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000, San Antonio, Texas, USA, 2000.
    Published • 10.1109/fuzzy.2000.838676
  33. Nascimento, S.; Mirkin, B.; Moura-Pires, F.. "Fuzzy clustering model of data and fuzzy c-means". 2000.
  34. Nascimento, Susana; Mirkin, Boris; Moura-Pires, Fernando. "Multiple Prototype Model for Fuzzy Clustering". Paper presented in Third International Symposium on Intelligent Data Analysis (IDA 99), Amsterdam, Netherlands, 1999.
    Published • 10.1007/3-540-48412-4_23
  35. Nascimento, Susana; Moura-Pires, Fernando. "A genetic approach to fuzzy clustering with a validity measure fitness function". Paper presented in Second International Symposium on Intelligent Data Analysis (IDA'97, London, UK, 1997.
    Published • 10.1007/bfb0052851
  36. Nascimento, S.; Moura-Pires, F.. "A genetic approach to fuzzy clustering with a validity measure fitness function". Paper presented in Second International Symposium on Intelligent Data Analysis (IDA'97), Lisboa, Portugal, 1997.
    Published • https://doi.org/10.1007/BFb0052851
  37. Nascimento, Susana; F. Moura Pires. "A Genetic Fuzzy c-Means Algorithm". Paper presented in Sixth International Conference IPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Granada, Spain, 1996.
    Published
  38. Pedro Barahona; Jorge Cruz; Nascimento, Susana; Mário Veloso. "A Causal-Functional Model for Anatomo-Physiological Reasoning". Paper presented in 12th Congress of the European Federation of Medical Informatics (MIE-94), Lisboa, Portugal, 1994.
    Published
Edited book
  1. Nascimento, Susana. Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer, Cham. 2021.
    Published • 10.1007/978-3-030-91608-4 • Editor
Journal article
  1. Susana Nascimento; Alexandre Martins; Paulo Relvas; Joaquim F. Luís; Boris Mirkin. "Core–shell clustering approach for detection and analysis of coastal upwelling". Computers & Geosciences 179 105421 (2023): https://doi.org/10.1016/j.cageo.2023.105421.
    Published • 10.1016/j.cageo.2023.105421
  2. Susana Nascimento; Alexandre Martins; Paulo Relvas; Joaquim F. Luís; Boris Mirkin. Corresponding author: Susana Nascimento. "Piece-wise constant cluster modelling of dynamics of upwelling patterns". Expert Systems e13446 (2023): e13446. https://doi.org/10.1111/exsy.13446.
    Published • 10.1111/exsy.13446
  3. Frolov, D.; Nascimento, S.; Fenner, T.; Mirkin, B.. "Parsimonious generalization of fuzzy thematic sets in taxonomies applied to the analysis of tendencies of research in data science". Information Sciences 512 (2020): 595-615. https://doi.org/10.1016/j.ins.2019.09.082.
    Published • 10.1016/j.ins.2019.09.082
  4. Nascimento, S.; Casca, S.; Mirkin, B.. "A seed expanding cluster algorithm for deriving upwelling areas on sea surface temperature images". Computers and Geosciences 85 B (2015): 74-85. https://www.sciencedirect.com/science/article/pii/S0098300415001338.
    Published • 10.1016/j.cageo.2015.06.002
  5. Nascimento, S.; Felizardo, R.; Mirkin, B.. "Laplacian normalization for deriving thematic fuzzy clusters with an additive spectral approach". Expert Systems 30 4 (2013): 294-305. https://onlinelibrary.wiley.com/doi/abs/10.1111/exsy.12027.
    Published • 10.1111/exsy.12027
  6. Mirkin, Boris; Nascimento, Susana. "Additive spectral method for fuzzy cluster analysis of similarity data including community structure and affinity matrices". Information Sciences 183 1 (2012): 16-34. https://www.sciencedirect.com/science/article/pii/S0020025511004592?via%3Dihub.
    Published • 10.1016/j.ins.2011.09.009
  7. Nascimento, Susana; Franco, Pedro; Sousa, Fatima; Dias, Joaquim; Neves, Filipe. "Automated computational delimitation of SST upwelling areas using fuzzy clustering". Computers & Geosciences 43 (2012): 207-216. https://www.sciencedirect.com/science/article/pii/S0098300411003608?via%3Dihub.
    Published • 10.1016/j.cageo.2011.10.025
  8. Fernandes, Armando Manuel; Nascimento, Susana; Boutov, Dmitri. "Automatic identification of oceanic eddies in infrared satellite images". Computers & Geosciences 37 11 (2011): 1783-1792. https://www.sciencedirect.com/science/article/pii/S009830041100032X.
    Published • 10.1016/j.cageo.2010.12.007
  9. Mirkin, Boris; Nascimento, Susana; Fenner, T; Moniz Pereira, L. "Building Fuzzy Thematic Clusters and Mapping Them to Higher Ranks in a Taxonomy". International Journal of Software and Informatics 4 3 (2010): 257-275.
    Published
  10. Sousa, Fatima M.; Nascimento, Susana; Casimiro, Hugo; Boutov, Dmitri. "Identification of upwelling areas on sea surface temperature images using fuzzy clustering". Remote Sensing of Environment 112 6 (2008): 2817-2823. https://www.sciencedirect.com/science/article/abs/pii/S003442570800045X.
    Published • 10.1016/j.rse.2008.01.014
  11. Nascimento, S; Mirkin, B; Moura-Pires, F. "Modeling proportional membership in fuzzy clustering". Ieee Transactions on Fuzzy Systems 11 2 (2003): 173-186. https://ieeexplore.ieee.org/document/1192695.
    Published • 10.1109/TFUZZ.2003.809889
  12. Barahona, Pedro; Cruz, Jorge; Nascimento, Susana. "Reasoning with causal networks at variable depths". Artificial Intelligence in Medicine 10 (1993): 75-86. https://ebooks.iospress.nl/doi/10.3233/978-1-60750-854-0-75.
    Published • 10.1016/S0933-3657(97)00385-0
Report
  1. Nascimento, Susana. 2018. Finding an appropriate generalization for a fuzzy thematic set in taxonomy. https://api.semanticscholar.org/CorpusID:149801071.
  2. Nascimento, Susana. 2011. Analysis of the Research Activities using the ACM-CCS Taxonomy, Case Studies of CS Departments/Research-Centres in Portugal and UK. https://www.researchgate.net/publication/312096176_Analysis_of_the_Research_Activities_using_the_ACM-CCS_Taxonomy_Case_Studies_of_CS_DepartmentsResearch-Centres_in_Portugal_and_UK_COPSRO_Project_grant_PTDCEIA699882006.
  3. Mirkin, B; Nascimento, Susana. 2009. Analysis of community structure, anity data and research activities using additive fuzzy spectral clustering. https://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=4E4474C1F12B5B5F3A575B76B552F68A?doi=10.1.1.728.944&rep=rep1&type=pdf.
  4. Nascimento, Susana. 2007. Fuzzy Clustering: a practical evolution approach. https://www.researchgate.net/publication/312095781_Fuzzy_Clustering_a_practical_evolution_approach.
  5. Mirkin, B.; Nascimento, Susana; Moniz Pereira, L. 2007. ACM classification can be used for representing research organizations. https://userweb.fct.unl.pt/~lmp/publications/online-papers/trf.pdf.
  6. Nascimento, Susana. 2006. Pre-processing and Fuzzy Clustering for Automatic Recognition of Eddies from Sea Surface Temperature Maps.
  7. Nascimento, Susana. 2004. Image Segmentation using Fuzzy Clustering Techniques.
Thesis / Dissertation
  1. "Fuzzy Clustering via Proportional Membership Model". PhD, Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, 2002.

Other

Software
  1. Martins, Alexandre; Susana Nascimento; Mirkin, Boris. "CoreShellClusteringAlgorithm". 1.0. Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia. https://github.com/thisDash/CoreShellClusteringAlgorithm https://doi.org/10.1016/j.cageo.2023.10542. 2022.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2023/01/31 Invited Talk: Three-Stage Cluster Modeling for the Spatiotemporal Analysis of Coastal Upwelling International conference "Data Analysis, Optimization and their Applications" on the occasion of Boris Mirkin's 80th birthday
(Russia)
2019/08 Finding and Parsimoniously Generalizing Fuzzy Clusters using Hierarchical Taxonomies: a Case Study in Data Science NOVA LINCS Seminar
Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa (Portugal)
2015/12 Invited Talk: A Self-tuning Approximation Clustering Algorithm and its Thresholding Versions for Delimitation of Upwelling on Sea Surface Temperature Images Birkbeck Seminar
Birkbeck, University of London (London, United Kingdom)
2015/03 Invited Talk: Data Recovery Fuzzy Clustering: an Additive Spectral Method and Applications Seminário de Estatística e Gestão de Risco, Centro de Matemática e Aplicações
Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa (Portugal)
2012/12 Invited Talk: Data recovery fuzzy clustering: proportional membership and additive spectral methods Int. Workshop on Clusters, orders, trees: Methods and applications
National Research University Higher School of Economics (Moscow, Russia)
2010/03 Additive Fuzzy Spectral Method for Cluster Analysis of Community Structure, Affinity and Relational Data, and Research Activities Birkbeck Seminar
Birkbeck, University of London (London, United Kingdom)
2010/03 Additive Fuzzy Spectral Method for Cluster Analysis of Community Structure, Afinity and Relational Data, and Research Activities NOVA LINCS Seminar
Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa (Portugal)
2000/08 Invited Talk: Data-Driven Fuzzy Cluster Modelling Dagstuhl-Seminar in Intelligent Data Analysis
EU "High-Level Scientific Conferences" (Dagstuhl, Germany)
2000/07 Invited Talk: A Fuzzy Clustering Model of Data with Proportional Membership Special Session on Intelligent Data Analysis
The 19th International Meeting of the North American Fuzzy Information Processing Society (Atlanta, United States)
1998/10 Invited Talk: Fuzzy Clustering as Data Analysis Tools International Summer School on Knowledge Discovery in Databases and Data Mining: Methods and Applications (EAIA'98)
(Caminha, Portugal)

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2024/09 - 2025/09 Performances of K-Means Clustering
Supervisor
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2024/09 - 2025/09 Fuzzy Spectral Clustering over Domain Taxonomy to Explore Research Tendencies in Data Science
Supervisor
 Análise e Engenharia de Big Data
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2024/09 - 2025/09 Development and Integration of a Next Generation Sequencing Scheduling System
Co-supervisor
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2024/03 - 2025/04/02 MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE SOLUTIONS FOR AUTOMATIC CONTENT GENERATION APPLIED TO DIGITAL SIGNAGE
Co-supervisor
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2023/10 - 2024/09 Wind Stress Coupled Clustering-Classification For Sea Surface Temperature Upwelling Analysis
Supervisor of Pedro Alexandre Aldonso Caldeirão
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2022/09 - 2023/12/13 Automatic Wildfire Classification with Fire Danger If-Then Rules Extraction
Co-supervisor of João Miguel Alpoim Pinheiro dos Santos
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2022/09/10 - 2023/12/07 Assessing the Role of Coastal Upwelling on Shellfish Contamination by Marine Biotoxins via Supervised Learning
Co-supervisor of Manuel Bernardo Ribeiro de Oliveira
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2022/09 - 2023/09 Characterizing Time Ranges of Coastal Upwelling via Unsupervised Clustering
Supervisor of João Pedro Bota Vargues
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2022/09 - 2023/09 Extreme Wildfire Classification through Anomaly Detection
Co-supervisor of Tomás Boniche Martins da Silva
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021/10/09 - 2022/10/30 Indução de Regras para a Classificação Automática da Severidade de Risco de Incêndios Florestais
Co-supervisor of Gonçalo Bernardo Severino
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020/09 - 2021/09 Unsupervised Spatio-Temporal Analysis of Coastal Upwelling from Sea Surface Temperature Images
Supervisor of Alexandre Guerreiro Martins
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2019/10 - 2021/09 Identificação automática das condições propícias a Fogos extremos a partir de índices de risco
Co-supervisor of Henrique Alfaia e Sampaio Coelho
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2021 Evolving Clustering on Dynamics: a model and algorithm for Coastal Upwelling tracking
Supervisor of Alexandre Guerreiro Martins
 BI funded by NOVA LINCS (UIDB/04516/2020) (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2019/09 - 2020/09 Wind Turbine Fault Detection: an Unsupervised vs Semi-Supervised Approach
Supervisor of Dinis Costa Cabanas
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2019/01 - 2019/09 Locomotion Methods Classifier using Mobile Networks Traces,
Co-supervisor of Rúben Martins Dantas da Cunha
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2019/01 - 2019/09 Machine Learning Based Walking Fatigue Detection
Co-supervisor of André Nunes Campos
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2018/10 - 2019/09 Modelling and Assessing Archetypal and Fuzzy Proportional Membership Partitions
Supervisor of Nuno Mendonça Madaleno
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2017/10 - 2018/09 Mining Extremes through Fuzzy Clustering
Supervisor of Gonçalo Sancho de Queiroz de Moncada Sousa Mendes
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2017/10 - 2018/09 Object-Based Semi-Automatic Crop Detection from Landsat-8 and Sentinel-2 imagery in the Alentejo Region A Comparison with the Pixel-based approach
Co-supervisor of Rafael Salgado Seara
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2017/03 - 2018/03 GPU Accelerated Classifier Benchmarking for Wildfire Related Tasks
Co-supervisor of Luís Miguel Duque dos Santos
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2017/03 - 2017/09 Archetypal Analysis: Retrieving Extreme Prototypes from Data
Supervisor of Nuno José Mendonça Madaleno
 Undergraduate Research Opportunity Program, Degree in Computer Science (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2016/03 - 2017/09 Sequential Extraction Thresholding Clustering for Segmentation of Coastal Upwelling on Sea Surface Temperature Images
Supervisor of Syed Abdul Mateen
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2016/09 - 2017/03 Automatic Crop Classification in Alentejo Region using Landsat-8 vs Sentinel Imagery
Co-supervisor of Rafael Crespo Nunes
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2014/10 - 2015/09 Seeded Region Growing Methods for Automatic Upwelling Detection from Sea Surface Temperature Images
Supervisor of Vasco Miguel Graça Lopes
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2014/10 - 2015/09 Analysis of Classification Algorithms for Crop Detection using LANDSAT 8 Images
Co-supervisor of João Luís Rodrigues Fernandes
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2013/03 - 2013/09 Algoritmos de Clustering Espacial na Detecção de Padrões Oceanográficos a partir de Imagens de Temperatura do Oceano
Supervisor of Sérgio Filipe Casca
 Undergraduate Research Opportunity Program, Degree in Computer Science (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2013/03 - 2013/09 Sistema de Reconhecimento de Padrões Oceanográficos a partir de Imagens de Temperatura do Oceano
Supervisor of Pedro Miguel da Costa Santos
 Undergraduate Research Opportunity Program, Degree in Computer Science (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2011/09 - 2011/11 Spatial and Spectral Clustering approaches for the Automatic Recognition of Upwelling from Sea Surface Temperature Images
Supervisor of Rui Miguel Mereiles Felizardo
 BI funded by LSTOP project (PDCT/EIA/68183/ 2006), (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2011/04 - 2011/07 Spatial clustering for the automatic recognition of upwelling from Sea Surface Temperature Images
Supervisor of Sérgio Filipe Casca
 BI funded by LSTOP project (PDCT/EIA/68183/ 2006) (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2009/09 - 2010/09 A Study on Parallel versus Sequencial Relational Fuzzy Clustering Methods
Supervisor of Rui Miguel Mereiles Felizardo
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2009/09 - 2010/09 Fuzzy clustering não supervisionado na detecção automática de regiões de upwelling a partir de mapas de temperatura da superfície oceânica
Supervisor of Pedro Guerra de Almeida Franco
 Engenharia Informática (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2010/06 - 2010/08 Method for profiling a researcher in terms of the ACM-CCS subjects with a method for aggregating ACM-CCS fuzzy membership lists
Supervisor of Olga Chugunova
 BI funded by COPSRO project (PTDC/EIA/69988/2006) (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2010/06 - 2010/08 Method for ranking the ACM-CCS subjects with respect to research results of a researcher based on annotated sufix trees
Co-supervisor of Ekaterina Chernyak
 BI funded by COPSRO project (PTDC/EIA/69988/2006) (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2009/07 - 2010/06 Feature-extraction for the spatio-temporal traking of upwelling from Sea Surface Temperature Images
Supervisor of Yashu Chamber
 BI funded by LSTOP project (PDCT/EIA/68183/ 2006) (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2008/03 - 2009/06 Unsupervised fuzzy clustering for the automatic recognition of upwelling from Sea Surface Temperature Images
Supervisor of Pedro Guerra de Almeida Franco
 BI funded by LSTOP project (PDCT/EIA/68183/2006) (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2008/01 - 2008/06 Electronic survey tool standing on a client/server platform for data collection about research activities of members of CS departments based on the ACM-CCS taxonomy.
Supervisor of Igor Lopes Guerreiro
 BI funded by COPSRO project (PTDC/EIA/69988/2006) (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2006 - 2008 Automatic Recognition of Oceanographic Circulation Patterns from Sea Surface Temperature Images.
Supervisor of Armando Manuel Fernandes
 FCT Post-doctoral fellow (SFRH/BPD/ 26721/2006)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2005 - 2006 Fuzzy Clustering methods for Automatic Recognition of Oceanographic Circulation Patterns from Sea Surface Temperature Images
Supervisor of Armando Manuel Fernandes
 Post-doctoral fellow from CENTRIA/UNL own funding
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2004/10 - 2005/02 Fuzzy Clustering methods for automatic recognition of upwelling from Sea Surface Temperature Images
Supervisor of Hugo Fradique Casimiro
 BI funded from CENTRIA/UNL own funding (Scientific initiation)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2004 - 2004 Fuzzy Clustering methods for Automatic Recognition of Oceanographic Circulation Patterns from Sea Surface Temperature Images
Supervisor of Chen Ning
 Post-doctoral fellow from CENTRIA/UNL own funding
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2020/11/04 - Current Chair of the Special Session "Machine Learning towards Smarter Multimodal Systems " of 21st International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2020 (2020/11/05 - 2020/11/05)
Conference (Co-organisor)
2019/11/14 - Current Co-organizer of a Special Session "Machine Learning towards Smarter Multimodal Systems " of 20th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2019 (2019/11/15)
Conference (Co-organisor)
2023/11/22 - 2023/11/24 Special Session co-chair of the 24th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) https://ideal2023.uevora.pt/home (2023/11/22 - 2023/11/24)
Conference (Member of the Scientific Committee)
2021/11/25 - 2021/11/27 Programme co-chair of the 22nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2021) https://ideal-conf.com/home21 (2021/11/25 - 2021/11/27)
Conference (Member of the Organising Committee)
2021/11/25 - 2021/11/27 Chair of the Special Session “Clustering for Interpretable Machine Learning” of 22nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2021) (2021/11/26)
Conference (Co-organisor)
2021/11/25 - 2021/11/27 Chair of the Special Session “Clustering for Interpretable Machine Learning” of 22nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2021) (2021/11/26)
Conference (Co-organisor)
2020/11/04 - 2020/11/06 Chair of the "Special Session 8: Data Recovery Approach to Clustering and Interpretability" of 21st International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2020 (2020/11/05 - 2020/11/05)
Conference (Co-organisor)
 Universidade do Minho Centro ALGORITMI, Portugal
2020/03/04 - 2020/11/06 Special Session/Workshop Chair 21st International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2020 (2020/11/04 - 2020/11/06)
Conference (Co-organisor)
 Universidade do Minho Centro ALGORITMI, Portugal
2019/11/14 - 2019/11/16 Chair of the "Special Session 1: Fuzzy Systems and Intelligent Data Analysis" of 20th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2019 (2019/11/14 - 2019/11/16)
Symposium (Co-organisor)
 The University of Manchester - North Campus, United Kingdom

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2024/04/05 Mobility Patterns From Data
(Thesis) Main arguer
 Thiago de Andrade Silva (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2022/07 Artificial Intelligence for the Prediction of Faillures in Wind Turbines
(Thesis) Main arguer
 Diogo Jorge Gato Rebimba (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2013/07/18 Spatio-Temporal Prediction Methods
(Thesis) Main arguer
 Orlando Shigueo Ohashi Junior (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2010/06 On Interpretability Issues in Data-driven Fuzzy System Design
(Thesis) Main arguer
 Paulo André Pais Fazendeiro (PhD)
Universidade da Beira Interior Departamento de Informática, Portugal
2009 Monitoring and Predicting Anomalies in Sensor Network Data
Thesis Member
 Orlando Shigueo Ohashi Junior (PhD)
Universidade do Porto Faculdade de Ciências, Portugal

Committee member

Activity description
Role 		Institution / Organization
2020/04 - Current Member of the Editorial Board of the journal Inteligencia Artificial, Iberamia
Member
 IberoAmerican Society of Artificial Intelligence (IBERAMIA), Spain

Conference scientific committee

Conference name Conference host
2023/11/22 - 2023/11/24 24th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'23) https://ideal2023.uevora.pt/home
2022/11/24 - 2022/11/26 23rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2022) https://ideal-conf.com/ideal2022
2021/11/25 - 2021/11/27 22nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2021) https://ideal-conf.com/home21
2020/11/04 - 2020/11/06 IDEAL 2020 - 21st International Conference on Intelligent Data Engineering and Automated Learning Universidade do Minho, ALGORITMI Center
2019/05/13 - 2019/05/15 SOCO'19 - 14th Int. Conference on Soft Computing Models in Industrial and Environmental Applications
2019 - 2019 IDEAL'19 - 20th Int. Conference on Intelligent Data Engineering and Automated Learning http://www.confercare.manchester.ac.uk/events/ideal2019/
2019 - 2019 INForum'19- Simpósio de Informática, Session on Sistemas Inteligentes de Monitorazação de Recursos Naturais Universidade do Minho, Guimarães, Portugal
2018 - 2018 IDEAL'18- 19th Int. Conference on Intelligent Data Engineering and Automated Learning. https://eventos.uam.es/20801
2017 - 2017 IDEAL'17- 18th Int. Conference on Intelligent Data Engineering and Automated Learning. http://ideal2017.guet.edu.cn/ ( http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=62013)
2014 - 2014 IBERAMIA'14- 14th edition of the Ibero-American Conference on Artificial Intelligence. https://www.iberamia.org/iberamia2014/
2012 - 2012 IBERAMIA'12- 13th edition of the Ibero-American Conference on Artificial Intelligence.
2011/05/23 - 2011/05/25 HAIS'11- 6th Int. Conference on Hybrid Artificial Intelligence Systems Wroclaw University of Technology, Wroclaw, Poland
2011 - 2011 CASoN'11- Int. Conference on Computational Aspects of Social Networks https://www.mirlabs.net/cason11/
2011 - 2011 EKDB'2011- Workshop on Extraction of Knowledge from Databases and Warehouses, 15th Portuguese Conference on Artificial Intelligence (EPIA'11).
2010 - 2010 HAIS'10- 5th Int. Conference on Hybrid Artificial Intelligence Systems. https://www.ehu.eus/ccwintco/hais2010/
2008/06/23 - 2008/06/25 ICCS' 08- Int. Conference on Computational Science 2008 https://www.iccs-meeting.org/iccs2008/
2007/09/06 - 2007/09/08 IDA'07- 7th International Symposium on Intelligent Data Analysis Ljubljana, Slovenia
2006 - 2006 HPC 2006- High-Performance Computing Symposium 2006
2005/12/05 - 2005/12/08 EKDB'05- Workshop on Extraction of Knowledge from Databases and Warehouses, 12th Portuguese Conference on Artificial Intelligence
2005/09/08 - 2005/09/10 IDA'05- 6th International Symposium on Intelligent Data Analysis Madrid, Spain
2003/08/28 - 2003/08/30 IDA'03- 5th International Symposium on Intelligent Data Analysis

Evaluation committee

Activity description
Role 		Institution / Organization Funding entity
2020/10 - Current Project submitted to the Program "SISTEMA DE INCENTIVOS À INVESTIGAÇÃO E DESENVOLVIMENTO TECNOLÓGICO (SI ID&T)", PT2020
Evaluator
 Agência Nacional de Inovação SA, Portugal Agência Nacional de Inovação SA

Journal scientific committee

Journal title (ISSN) Publisher
2013/01 - Current Journal of Intelligent and Fuzzy Systems (1875-8967) IOS Press
2016/01 - 2021/12 Machine Learning (0885-6125) Springer
2013/01 - 2020/12 Fuzzy Sets and Systems (1872-6801) Elsevier
2019/01 - 2019/12 Applied Sciences (2076-3417) MDPI
2019/01 - 2019/12 Advances in Bioinformatics (2635-0041) Hindawi
2015/01 - 2015/12 IEEE Transations on Knowledge and Data Engineering (1041-4347) IEEE
2013/01 - 2015/12 Advances in Data Analysis and Classification (1862-5347) Springer
2014/01 - 2014/12 Data Mining and Knowledge Discovery (1384-5810) Springer
2012/01 - 2012/12 Neural Processing Letters (1370-4621) Springer
2009/01 - 2011/12 Information Sciences (0020-0255) Elsevier
2010/01 - 2010/12 Pattern Recognition (0031-3203) Elsevier
2010/01 - 2010/12 Journal of Multiple-Valued Logic and Soft Computing (1432-7643) Old City Publishing
2009/01 - 2009/12 The Computer Journal (0010-4620) Oxford University Press
2008/01 - 2008/12 International Journal of Computer Mathematics (1311-1728) Taylor & Francis
2007/01 - 2007/12 International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (0218-4885) World Scientific
2007/01 - 2007/12 Journal of Universal Computer Science ( 0948-695X) Platinum Consortium Partners - TU Graz
2002/01 - 2002/12 IEEE Transations on Fuzzy Systems (1063-6706) IEEE
Distinctions

Award

2019 Best Special Sessions Paper Award - 20th Intelligent Data Engineering and Automated Learning (IDEAL'19)
The University of Manchester, United Kingdom