Faculty & Research
Directory
Nin Guerrero, Jordi
Associate Professor, Department of Operations, Innovation and Data Sciences at
Esade
Contracted Doctoral Professor URL
Education
- Doctor en Ciències de la Computació.
- Ingeniero en informática.
- Ingenieria técnica en informática de gestión.
Areas of interest
- Financial networks analytics
- Machine learning
- Decision making and information fusion
Biography
Jordi Nin obtained the Computer Science Degree in 2004 from the Universitat Autònoma
de Barcelona (UAB). Then he joined to the Artificial Intelligence Research Institute
of Spanish National Research Council (IIIA-CSIC). In 2008 he received the Ph.D. in
Computer Science obtaining the Outstanding Ph.D. Award from the UAB computer science
department. Later he joined as Post-doctoral researcher at French National Center
for Scientific Research (CNRS). In 2010, he joined the Computer Architecture Dept.
of the Universitat Politècnica de Catalunya (UPC) as tenure-track lecturer. Lastly,
from 2015 to 2019 he worked as senior data scientist at BBVA Data & Analytics.
Selected publications
- Nin, J. & Tomás, E. (2022). Default propagation in customer-supplier networks. Journal of Ambient Intelligence and Humanized Computing, 13, pp. 541. DOI: http://doi.org/10.1007/s12652-019-01370-7.
- Nin, J., Salbanya Rovira, Bernat, Fleurquin, P., Tomás, E., Arenas, A. & Ramasco, J. J. (2021). Modeling financial distress propagation on customer-supplier networks. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (5), 053119. DOI: http://doi.org/10.1063/5.0041104.
- Unceta Mendieta, Irene, Nin, J. & Pujol , O. (2020). Risk mitigation in algorithmic accountability: The role of machine learning copies. PLOS ONE, 15 (11), pp. e0241286-e0241302. DOI: http://doi.org/10.1371/journal.pone.0241286.
- Unceta Mendieta, Irene, Nin, J. & Pujol , O. (2020). Copying machine learning classifiers. IEEE Access, (8), pp. 160268-160284. DOI: http://doi.org/10.1109/ACCESS.2020.3020638.
- Barja, A., Martínez, A., Arenas, A., Fleurquin, P., Nin, J., Ramasco, J. J. & Tomás, E. (2019). Assessing the risk of default propagation in interconnected sectoral financial networks. EPJ Data Science, 8 (Dec 2019), pp. 422-442. DOI: http://doi.org/10.1140/epjds/s13688-019-0211-y.
- Gómez, J. A., Arévalo, J., Paredes, R. & Nin, J. (2018). End-to-end neural network architecture for fraud scoring in card payments. Pattern Recognition Letters, 105 (1), pp. 175-181. DOI: http://doi.org/10.1016/j.patrec.2017.08.024.
- Martínez Rodríguez, D., Nin, J. & Nuñez-del-Prado, M. (2017). Towards the adaptation of SDC methods to stream mining. Computers & Security, 70 (1), pp. 702-722. DOI: http://doi.org/10.1016/j.cose.2017.08.011.
- Guttler, F., Ienco, D., Nin, J., Teisseire, M. & Poncelet, P. (2017). A graph-based approach to detect spatiotemporal dynamics in satellite image time series. ISPRS Journal of Photogrammetry and Remote Sensing, 130 (1), pp. 92-107. DOI: http://doi.org/10.1016/j.isprsjprs.2017.05.013.
- Capdevila, J., Cerquides, J., Nin, J. & Torres, J. (2017). Tweet-SCAN: An event discovery technique for geo-located tweets. Pattern Recognition Letters, 93 (1), pp. 58-68. DOI: http://doi.org/10.1016/j.patrec.2016.08.010.
- Herranz, J., Nin, J., Rodríguez-Marín Sastre, J. & Tassa, T. (2015). Revisiting distance-based record linkage for privacy-preserving release of statistical datasets. Data & Knowledge Engineering, 100 (1), pp. 78-93. DOI: http://doi.org/10.1016/j.datak.2015.07.009.
- Herranz, J. & Nin, J. (2014). Secure and efficient anonymization of distributed confidential databases. International Journal of Information Security, 13 (6), pp. 497-512. DOI: http://doi.org/10.1007/s10207-014-0237-x.
- Balasch-Masoliver, J., Muntés-Mulero, V. & Nin, J. (2014). Using genetic algorithms for attribute grouping in multivariate microaggregation. Intelligent Data Analysis, 18 (5), pp. 819-836. DOI: http://doi.org/10.3233/IDA-140670.
- Rebollo Monedero, D., Solé, M., Nin, J. & Forné, J. (2013). A modification of the k-means method for quasi-unsupervised learning. Knowledge-Based Systems, 37 (1), pp. 176-185. DOI: http://doi.org/10.1016/j.knosys.2012.07.024.
- Herranz, J., Nin, J. & Solé, M. (2012). Kd-trees and the real disclosure risks of large statistical databases. Information Fusion, 13 (4), pp. 260-273. DOI: http://doi.org/10.1016/j.inffus.2011.03.001.
- Herranz, J., Nin, J. & Solé, M. (2012). More hybrid and secure protection of statistical datasets. IEEE Transactions on Dependable and Secure Computing, 9 (5), pp. 727-740. DOI: http://doi.org/10.1109/TDSC.2012.40.
- Solé, M., Nin, J. & Muntés-Mulero, V. (2012). Efficient microaggregation techniques for large numerical data volumes. International Journal of Information Security, 11 (4), pp. 253-267. DOI: http://doi.org/10.1007/s10207-012-0158-5.
- Herranz, J., Nin, J. & Solé, M. (2011). Optimal symbol alignment distance: A new distance for sequences of symbols. IEEE Transactions on Knowledge and Data Engineering, 23 (10), pp. 1541-1554. DOI: http://doi.org/10.1109/TKDE.2010.190.
- Nin, J., Laurent, A. & Poncelet, P. (2010). Speed up gradual rule mining from stream data! A B-Tree and OWA-based approach. Journal of Intelligent Information Systems, 35 (3), pp. 447-463. DOI: http://doi.org/10.1007/s10844-009-0112-9.
- Herranz, J., Matwin, S., Nin, J. & Torra, V. (2010). Classifying data from protected statistical datasets. Computers & Security, 29 (8), pp. 875-890. DOI: http://doi.org/10.1016/j.cose.2010.05.005.
- Nin, J. & Torra, V. (2009). Towards the evaluation of time series protection methods. Information Sciences: Informatics and Computer Science, 179 (11), pp. 1663-1677. DOI: http://doi.org/10.1016/j.ins.2009.01.024.
- Nin, J., Herranz, J. & Torra, V. (2008). On the disclosure risk of multivariate microaggregation. Data & Knowledge Engineering, 67 (3), pp. 399-412. DOI: http://doi.org/10.1016/j.datak.2008.06.014.
- Torra, V. & Nin, J. (2008). Record linkage for database integration using fuzzy integrals. International Journal of Intelligent Systems, 23 (6), pp. 715-734. DOI: http://doi.org/10.1002/int.20293.
- Nin, J., Herranz, J. & Torra, V. (2008). How to group attributes in multivariate microaggregation. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 16 (supp01), pp. 121-138. DOI: http://doi.org/10.1142/S0218488508005285.
- Nin, J., Herranz, J. & Torra, V. (2008). Rethinking rank swapping to decrease disclosure risk. Data & Knowledge Engineering, 64 (1), pp. 346-364. DOI: http://doi.org/10.1016/j.datak.2007.07.006.