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CURRICULUM VITAE Cristian PREDA CURRICULUM VITAE Cristian PREDA Professor of Statistics Université des Sciences et Technologies de Lille Ecole Polytechnique Universitaire de Lille Laboratoire de Mathématiques Paul Painlevé, UMR CNRS 8524 UFR de Mathématiques Bât. M2, Cité Scientique 59655 Villeneuve d'Ascq Cedex (France) e-mail : [email protected] Contents Pages 1. Address and status 2 2. Education 2 3. Teaching activities 3 4. Research interests 4 5. Publications 4 5.1 Accepted papers 4 5.2 Papers in international refereed proceedings 7 5.3 Submitted papers 8 6. Invited lectures 8 7. Lectures at scientic conferences 11 8. Lectures at university 12 9. Scientic and pedagogic responsibilities 13 9.1 Research projects 13 9.2 PhD students 13 9.3 Administrative responsibilities 15 9.4 Reviewer activities 16 9.5 International mobility 15 10. Scientic aliation 16 11. Software 16 1 1 Address and status Name : Cristian Aristide Preda Date and place of birth : October 15, 1971, Buzau, Romania. Marital status : Maired, one child. Current position : Professor of statistics at University of Lille (France). Personal address : 2, Rue Saint Martin Résidence Porte de la Barre, Entrée 3, Appt. 716 59000, Lille France Professional address : Université des Sciences et Technologies de Lille Ecole Polytechnique Universitaire de Lille / Département GIS Cité Scientique 59655 Villeneuve d'Ascq Cedex (France) Tél : +33(0)3.28.76.73.26 E-mail : [email protected] 2 Education Title Institution Year Baccalauréat B.P. Ha³deu College, Buz u (Romania) 1990 M. A. (Mathematics) University "A. I. Cuza", Ia³i, (Romania) 1995 M. A. (Statistics) Université de Sciences Lille 1, Lille (France) 1996 Ph.D. (Statistics) Université de Sciences Lille 1, Lille (France) 1999 HDR (Statistics) Université de Lille 2, Lille (France) 2007 2 3 Teaching Fonctions Year(s) Position Institution Université Lille 1, Ecole 2008 - present Professor Polytechnique Université de Lille 2, 2000 - 2008 Associate Professor Faculté de Médecine 2000 Assistant Researcher Université Libre de Bruxelles February - July 1997-1999 Vacataire Université Paris Sud February - July 1997-1999 Statistical Institute of Assistant researcher September - January Romanian Academy teaching • 2008-present Ecole Polytechnique Universitaire de Lille, Statistics and Computer Science Department (GIS). Cours de Probabilities (GIS 3), Multivariate statistics, nonparametric statistics (GIS4) et Biostatistics (GIS5). Volume : 192 h (TD). • 2000-2008 Faculté de Médecine, Université de Lille 2. : Cours Probabilities and Statistics Level : - First Year of Medical Studies - PCEM 1, - Master of Biology and Health (1st year) - Master of Public Health (Pro) (2nd year) Volume : 192 h. • 2002-2004 : Cours Statistical Inference (10h) : Bioinformatics, Université de Sci- ences et Technologies de Lille 1. • 1999-2000 : Statistical Inference (48h) : Faculté des Sciences Sociales, Politiques et Economiques, Université Libre de Bruxelles, (February - June 2000). • 19961998, 20042008 : Probabilities and Statistics : Conditional Probabilipies, Nonparamet- ric tests based on ranks, Quality Control, Linear models. Level : Master 1st year, Computer Science (MIAGE), Université Paris Sud (XI), Orsay. (72 h). 3 4 Research interests . Functional data - Multivariate functional data. - Clustering and gaussian based-models. - Regression models for functional data. PLS approach. - Discrimination and unsupervised classication (clusterwise regres- sion). - Approximation of multivariate analysis for functional data. - Nonparametric regression. Regression models based on Reproducing Kernel Hilbert Spaces Models. Machine learning. - Missing data. NIPALS algorithm. Scan statitics : Cluster detection. Signicance and condence bands for continuous and discrete scan statistics repartition function. Scan statistics and 1-dependence. Applications in epidemiology, public health and biology. Mathematical programming : Algorithms for the PLS approach for functional data, RHHS methods and scan statistics simulation. Habilitation for PhD supervising (HDR) Title : Contribution to functional data analysis and scan statistics. Linear models and PLS approach. Functional data and non linear models based on RKHS methods. One dimensional and bi-dimensional scan statistics. Approximation study. Defended : December 13, 2007, Université de Lille 2. Section : Pure and Applied Mathematics, Université de Lille 2 Referees : Joseph Glaz (Connecticut, USA), Alain Mallet (Paris 6) Supervisor : Gilbert Saporta (CNAM Paris). Ph. D. Title : Factorial analysis of a stochastic process. Regression and approxi- mation problemes. Defended : November 26, 1999, Université de Lille 1. Section : Pure and Applied Mathematics. 5 Publications Accepted papers 1. J.Jacques and C.Preda (2014), Functional data clustering : a survey, Advances in Data Analysis and Classication, in press. 2. A. Amarioarei, C. Preda (2013), Approximation for the Distribution of Three-dimensional Discrete Scan Statistic, Methodology and Computing in Applied Probability, in press, DOI : 10.1007/s11009-013-9382-3 4 3. G. Haiman, C. Preda (2013), One dimensional scan statistics generated by some dependent stationary sequences, Statistics and Probability Let- ters, Volume 83, Issue 5, 14571463. 4. M. Genin, A. Duhamel, C. Preda (2013), Space-time clusters of Crohn's disease in northern France, Journal of Public Health, DOI : 10.1007/s10389- 013-0580-9. 5. J. Jacques, C. Preda (2013), Funclust : a curves clustering method us- ing functional random variable density approximation, Neurocomput- ing, 112, 164-171. 6. C. Iliescu, C. Sauvage, A. Decoster, C. Preda, M.-C. Castelain (2013), L'enfant allergique á l'arachide : une approche thérapeutique person- nalisée, Revue Française d'Allergologie, 53 (1), 510. 7. J. Jacques, C. Preda (2012) Model-based clustering of multivariate functional data, Computational Statistics and Data Analysis, in press DOI : 10.1016/j.csda.2012.12.004. 8. C. Preda, C.Apostol, Méthodes PLS pour l'analyse des données fonc- tionnelles, Romanian Journal of Pure and Applied Mathematics, Vol. 55, No. 6, p. 431-446, (2010). 9. A. Aguilera, M. Escabias, C. Preda, G. Saporta, Using basis expansion for estimating functional PLS regression : application with chemometric data, Chemometrics and Intelligent Laboratory Systems, Vol. 104, Issue 2, p. 289-305, (2010). 10. G. Haiman, C. Preda, A new Method of Approximating the Probability of Matching Common Words in Multiple Random Sequences, Method- ology and Computing in Applied Probability, Vol. 12, No. 4, p. 775-795, (2010). 11. C. Preda, G. Saporta, Mohamed Mbarek, The NIPALS algorithm for missing functional data, Romanian Journal of Pure and Applied Math- ematics, Vol. 55, No. 4, p. 315-326, (2010). 12. Chazard E, Preda C, Merlin B, Ficheur G ; PSIP consortium, Beuscart R. Data-mining-based detection of adverse drug events, Stud. Health Technol. Inform., Vol. 150, p.552-556, (2009). 13. Chazard E, Ficheur G, Merlin B, Genin M, Preda C, Beuscart R. Detec- tion of adverse drug events detection : data agregation and data mining, Stud. Health Technol. Inform. Vol. 148, p. 75-84, (2009). 14. Pamelard F, Even G, Apostol C, Preda C, Dhaenens C, Fafeur V, Desmet R, Melnyk O., PASE : a web-based platform for peptide/protein microarray experiments, Methods in Molecular Biology, Vol. 570, p. 413-30 (2009). 5 15. G. Haiman, C. Preda, 1-Dependent Stationary Sequences And Appli- cation To Scan Statistics, Scan Statistics - Methods and Applications, Statistics for Industry and Technology series, Birkhäuser (Eds. Glaz J., Walenstein S., Pozdnyakov V.) p. 179-193, (2008). 16. C. Preda, G. Saporta, C. Lévéder, PLS classication for functional data, Computational Statistics, 22, p. 223-235, (2007). 17. C. Preda, Regression models for functional data by reproducing kernel Hilbert spaces methods, Journal of Statistical Planning and Inference, Vol. 137, 3, p. 829-840, (2007). 18. C. Preda, G. Saporta, PCR and PLS for clusterwise regression on func- tional data, In Selected Contributions in Classication and Data Analy- sis, Springer Berlin Heidelberg, Studies in Classication, Data Analysis and Knowledge Organization Series, DOI : 10.1007/978-3-540-73560- 1_56, p. 589598, (2007). 19. G. Haiman, C. Preda, Estimation for the distribution of two-dimensional discrete scan statistics, Methodology and Computing in Applied Prob- ability Journal, 8, 373382, (2006). 20. C. Preda, L'approche PLS pour l'analyse de données fonctionnelles, Bulletin de la Société de Sciences Médicales de Luxembourg, Vol. 2, p. 171-187, (2006). 21. A. Duhamel, P.Devos, J.L. Bourriez, C. Preda, L. Lefebvre Functional data analysis for gait curves study in Parkinson's desease, Studies in Health Technology and Informatics, 124, p. 569-574, (2006) 22. C. Preda, G. Saporta, Clusterwise PLS regression on a stochastic pro- cess, Computational Statistics and Data Analysis, 49, p. 99108, (2005). 23. C. Preda, G. Saporta, PLS regression on a stochastic process, Compu- tational Statistics and Data Analysis, 48, p. 149158, (2005). 24. C. Preda, A. Duhamel, Tools for statistical analysis with missing data. An application to a large medical dataset, Studies in Health Technology and Informatics, 116, p. 181-186, (2005). 25. G. Haiman, C. Preda, A new method for estimating the distribution of scan statistics for a two-dimensional Poisson process, Methodology and Computing in Applied Probability Journal, 4 (4), p. 393-407, (2002). 6 26. C. Preda, Approximation par moyennage de l'analyse en composantes principales d'un processus
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