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Vicenç Torra
Ollscoil na hUmeå, An tSualainn
leathanach gréasáin phearsanta: anseo
Seoladh: Ollscoil hUmeå
Department of Computing Science
MIT-Building C444
901 87 Umeå
An tSualainn
Tel: +46 xxxxxxxxx
vtorra (ag) ieee (ponc) org
tot (ag) natana (ponc) cat
vtorra (ag) cs (ponc) umu (ponc) se

I am at Dept. Computing Science, Umeå University, Sweden. I lead the PrivAcy-AWare traNSparent deCIsions research group. Two postdoc positions are expected during the academic year 2022-2023.

Mo thaighde If you are planning to invite me to review a paper the following is of your interest: I am over-committed with reviews. So, I tend to decline reviews unless I am in the editorial board of the journal, the program committee of the conference, or it is an invitation from a journal in which I regularly publish. In particular, I decline by default all papers on hesitant fuzzy sets (I am very sorry but I have no time to read them all). Naturally, if a paper seems very interesting to me I may override these rules.
MIT-huset, Umeå universitet, C444 Umeå universitet, 901 87 Umeå, Sweden.
Plenary talk at INFUS 2021 (İzmir, -- online -- 2021).
V. Torra (2017) Data Privacy: Foundations, New Developments and the Big Data Challenge, Springer.
Introductory text to the field of data privacy, based on my lectures and own research. Data privacy from a technological perspective; problems and solutions of the three main communities working on data privacy: statistical disclosure control, privacy-preserving data mining, and privacy-enhancing technologies. The content of the book and a definition of data science are reviewed in Chapter 1 Data Science: an introduction.
Leabhar eagraithe:
Alan Said, Vicenç Torra (2019) Data Science in Practice, Springer.
"Data science is the science of data. Its goal is to explain processes and objects through the available data. The explanation is expected to be objective and accurate enough to make predictions. The ultimate goal of the explanations is to make informed decisions based on the knowledge extracted from the underlying data" (Chapter 1). This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. The book is structured into three parts: (i) the core concepts of data science, (ii) application domains, and (iii) specific tools for data science.
Note that my old email address vt**ra@ii*a.c*ic.** does not work any more.
V. Torra (2016) Scala: from a functional programming perspective, Springer. (LNCS 9980)
Text based on my lectures in the course Advanced Programming in the Master of Data Science (University of Skövde)
Transactions on Data Privacy
Indexed at DBLP, ACM Digital Library, MathSciNet, DOAJ, Elsevier (Scopus, EI)
FORTE project: "Appropriate automation: Toward and understanding of robots and AI in the social services from an organizational and user perspective" (FORTE 2021-01422, 2021-2027).

Vetenskapsrådet project: "Disclosure risk and transparency in big data privacy" (VR 2016-03346, 2017-2021).

Sé alt le déanaí:
- Privacy by design in big data (ENISA Report): (download, open access)
G. D'Acquisto, J. Domingo-Ferrer, P. Kikiras, V. Torra, Y.-A. de Montjoye, A. Bourka (2015) Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics, European Union Agency for Network and Information Security (ENISA), 2015. ISBN: 978-92-9204-160-1, DOI: 10.2824/641480.
- Big data privacy and anonymization: (download, open access)
V. Torra, G. Navarro-Arribas (2017) Big data privacy and anonymization, in A. Lehmann et al., Privacy and Identity Management. IFIP AICT 498 15-26.
- Integral privacy: (download, open access)
N. Senavirathne, V. Torra, Integrally Private Model Selection For Decision Trees, Computers & Security 83 (2019) 167-181.
- Fuzzy microaggregation: (download)
V. Torra (2017) Fuzzy microaggregation for the transparency principle, Journal of Applied Logic 23 70-80.
- ML, record linkage, and disclosure risk: (download)
D. Abril, V. Torra, G. Navarro-Arribas (2015) Supervised learning using a symmetric bilinear form for record linkage, Information Fusion 26 (2015) 144-153.
- Extending game-theoretic network analysis: (download, open access)
V. Torra, Y. Narukawa (2019) On network analysis using non-additive integrals: extending the game-theoretic network centrality, Soft Computing 23:7 2321-2329.

Shcríobh mé na leabhair:
Leabhar eagraithe (roghnaithe)

Táim ag eagrú
PC co-chair:

Gníomhaíochtaí roghnaithe
Cainteanna cuireadh le déanaí
(INFUS 2019); Choquet integral in decision making and metric learning (IUKM 2019); Big Data Privacy and Anonymization (IFIP Summer School 2016 on Privacy and Identity Management for Life); Choquet integral: distributions and decisions (83rd EWG-MCDA 2016); Transparency and Disclosure Risk in Data Privacy (PAIS 2015)

Eagarthóir: Transactions on Data Privacy

Bord eagarthóireachta: Fuzzy Sets and Systems (2004-), IEEE Transactions on Fuzzy Systems (2019-), Progress in Artificial Intelligence (2011-), J. of Advanced Computational Intelligence and Intel. Informatics (2007-), Int. J. of Computational Intelligence System (2008-), Information Sciences (2009-2019), Mathware and Soft Computing (2001-2010), EUSFLAT newsletter (Editor, 2005-2009), ACIA Newsletter (Butlletí de l'Associació Catalana d'Intel·ligència Artificial; NODES), Journal of Privacy Technology (2004-2007), Intelligent Decision Technologies (2007-2009?)

Comhdhálacha: MDAI 2004-2019 (PC co-chair); AGOP 2017 (chair); SweDS 2016 (chair); PST 2015 and (Privacy track PC co-chair); PSD 2004 (PC co-chair); CCIA 1998 (General chair)

Cumainn eolaíochta: EUSFLAT (European Soc. for Fuzzy Logic and Techn.) (board 2001-2009; 2013-2017). ACIA (AI Catalan Assoc.) (Founding member, board 1996-2000; president 2010-2014). IEEE Institute of Electrical and Electronics Engineers (member 1996-, senior 2003-, fellow 2017-).

Mo thaighde My research interests are between computer science and applied mathematics. I am interested in approximate reasoning, data privacy, machine learning (data mining and statistical learning), decision making, data aggregation and information fusion, fuzzy set theory.
My specialization is in data privacy and in approximate reasoning.
In more details:
  • Approximate reasoning: Some more specialized keywords include: fuzzy sets and systems, fuzzy measures and integrals, measure theory, decision making, belief functions. I am interested in mathematical properties of these models, and their application.
  • Data privacy: Keywords: disclosure risk, masking methods, record linkage, transparency and disclosure risk. I have worked on data privacy for matrices and standard databases, search logs, texts and documents, and social networks.
  • Information fusion and integration: My research is focused on the integration of information at large, from particular aggregation operators as e.g. WOWA (Weighted OWA) and fuzzy integrals to software for database integration (e.g. record linkage). I have studied formal aspects (e.g. non-additive (fuzzy) measures, modeling capabilities, data in ordinal scales) as well as algorithms for parameter selection/determination. Applications include data privacy and decision making. Two papers at RIMS Kokyuroku: Research Institute for Mathematical Sciences in Kyoto University:1630-02, 1683-06
  • Clustering: I have applied clustering and fuzzy clustering to a variety of problems in data privacy (microaggregation and information loss assessment) and information retrieval. GAMBAL, a tool for information retrieval, is one of the tools developed. See:
  • Probability distribution: I introduced a new probability distribution based on the Choquet integral. There are a significant number of problems that can be solved effectively using the Choquet integral. Applications range from computer vision to decision making. I propose this type of distributions to represent the type of data that we encounter in these problems. See: here (first definition, Information Sciences) and here (ACUTM).

Beathaisnéis 1991. B. Sc. in Computer Science, Universitat Politècnica de Catalunya (UPC)
1992. M. Sc. in Computer Science, UPC
1994. Ph. D. in Computer Science (Ph.D. Program on AI), UPC
1994. Assistant Professor (tenured), Universitat Rovira i Virgili (URV)
1994-1995. Deputy Dean of the School of Engineering, URV
1997. Associate Professor (tenured), URV
1999. Tenured Scientist (Associate Professor - Research Track), IIIA-CSIC
2004. Acreditation for Full Professorship
2008. Research Scientist (Senior Associate Professor - Research Track), IIIA-CSIC
2010. EurAI Fellow (former ECCAI)
2013. ISI Elected member
2014. Professor in Informatics, University of Skövde, Sweden
2016. IEEE Fellow.
2018. Professor, Hamilton Institute, Maynooth University, Ireland.
2020. Professor, Department of Computing Science, Umeå University, Sweden.
Ailt (roghnaithe) Naisc: DBLP, MathSciNet, Scholar Google
Leabhar (monagraif, roghnaithe): (see above)
Data privacy: (More detailed information and papers on data privacy here )
- N. Senavirathne, V. Torra, Integrally Private Model Selection For Decision Trees, Computers \& Security 83 (2019) 167-181. (here: open access)
- V. Torra, G. Navarro-Arribas, Integral Privacy, Proc. CANS 2016 661-669. (here)
- V. Torra, Constrained Microaggregation: Adding Constraints for Data Editing, Transactions on Data Privacy 1:2 (2008) 86-104. (here)
- J. Nin, J. Herranz, V. Torra, Rethinking rank swapping to decrease disclosure risk, Data & Knowledge Engineering, 64:1 (2008) 346-364. (here)
- J. Domingo-Ferrer, V. Torra, Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation, Data Mining and Knowledge Discovery, 11:2 (2005) 195-212. (here)
- J. Domingo-Ferrer, V. Torra, Disclosure control methods and information loss for microdata, in P. Doyle, J. I. Lane, J. J. M. Theeuwes, L. V. Zayatz (Eds), Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies, (ISBN:0-444-50761-2, North-Holland, 2001), 91-110. (here)
- J. Domingo-Ferrer, V. Torra, A quantitative comparison of disclosure methods for microdata, in P. Doyle, J. I. Lane, J. J. M. Theeuwes, L. V. Zayatz (Eds), Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies, (ISBN:0-444-50761-2, North-Holland, 2001), 111-133. (here)
Graphs (data protection and analysis):
- V. Torra, Y. Narukawa, On network analysis using non-additive integrals: extending the game-theoretic network centrality, Soft Computing 23:7 (2019) 2321-2329. (here)
- V. Torra, A. Jonsson, G. Navarro-Arribas, J. Salas, Synthetic generation of spatial graphs, Int. J. of Intel. Systems 33:12 (2018) 2364-2378. (here)
Information fusion / aggregation:
- V. Torra, Y. Narukawa, Numerical integration for the Choquet integral, Information Fusion 31 (2016) 137-145. (here)
- D. Abril, V. Torra, G. Navarro-Arribas, Supervised learning using a symmetric bilinear form for record linkage, Information Fusion 26 (2015) 144-153. (here)
- V. Torra, Y. Narukawa, M. Sugeno, On the f-divergence for non-additive measures. Fuzzy Sets and Systems 292 (2016) 364-379. (here)
- Y. Narukawa, V. Torra, Fuzzy measure and probability distributions: distorted probabilities, IEEE Trans. on Fuzzy Systems, 13:5 (2005) 617 - 629.
- V. Torra, The Weighted OWA operator, Intl. J. of Intel. Syst., 12 (1997) 153-166. (here)
Information retrieval and clustering:
- V. Torra, S. Miyamoto, S. Lanau, Exploration of textual databases using a fuzzy hierarchical clustering algorithm in the GAMBAL system, Information Processing and Management, 41:3 (2005) 587-598.
Approximate reasoning:
- V. Torra, K. Stokes, A formalization of record linkage and its application to data protection, Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems 20:6 (2012) 907-919. (here)
- V. Torra, A review on the construction of hierarchical fuzzy systems, Int. J. of Intelligent Systems, 17:5 (2002) 531-543.

Eile Information on projects, research stays, teaching activities, etc. :

Last modified: 23 : 18; September 20, 2021.