Curriculum vitae

Ben Hamida Sana

Chercheur associé
LAMSADE

sana.mrabetping@dauphine.pslpong.eu
Tel : 01 44 05 45 70
Bureau : LAMSADE

Biographie

Sana Ben-Hamida , Ph.D  in computer science 2001, is an associate professor at Paris Ouest University and an associate researcher at  the computer science laboratory (LAMSADE) of Paris  Dauphine University. Her main research interests include Evolutionary Computation,  Machine Learning and related applications.  In recent years her interests have focused on problems related to scaling Evolutionary machine learning techniques to massive datasets

Dernières publications

Articles

Ben M'Barek M., Borgi A., Bedhiafi W., Ben Hamida S. (2018), Genetic Algorithm for Community Detection in Biological Networks, Procedia Computer Science, vol. 126, p. 195-204

Hmida H., Ben Hamida S., Borgi A., Rukoz M. (2018), Scale Genetic Programming for large Data Sets: Case of Higgs Bosons Classification, Procedia Computer Science, vol. 126, p. 302-311

Abdelmalek W., Ben Hamida S., Abid F. (2009), Selecting the best forecasting-implied volatility model using genetic programming, Journal of Applied Mathematics, vol. 2009

Ben Hamida S., Cont R. (2005), Recovering volatility from option prices by evolutionary optimization, Journal of Computational Finance, vol. 8, n°4, p. 43-76

Ouvrages

Ben Hamida S., Petrowski A. (2017), Evolutionary Algorithms John Wiley & Sons, Ltd, 236 p.

Chapitres d'ouvrage

Ben Hamida S. (2016), Extension of Evolutionary Algorithms to Constrained Optimization, in Patrick Siarry, Metaheuristics, Amsterdam: Springer, p. 329-356

Communications avec actes

Hmida H., Ben Hamida S., Borgi A., Rukoz M. (2019), Genetic Programming over Spark for Higgs Boson Classification, in W. Abramowicz, R. Corchuelo, Business Information Systems, 22nd International Conference, BIS 2019, Paris, Springer, 300-312 p.

Ben M'barek M., Borgi A., Ben Hamida S., Rukoz M. (2019), Genetic Algorithm to Detect Different Sizes’ Communities from Protein-Protein Interaction Networks, in M. van Sinderen, L. Maciaszek, Proceedings of the 14th International Conference on Software Technologie, SciTe Press, 359-370 p.

Hmida H., Ben Hamida S., Borgi A., Rukoz M. (2017), Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study, in Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco, Advances in Big Data : Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece, Springer International Publishing, 50-60 p.

Hmida H., Ben Hamida S., Borgi A., Rukoz M. (2016), Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study, in Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco, Advances in Big Data Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece, Springer, 50-60 p.

Hmida H., Ben Hamida S., Borgi A., Rukoz M. (2016), Hierarchical Data Topology Based Selection for Large Scale Learning, in Didier El Baz, Julien Bourgeois, 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), IEEE - Institute of Electrical and Electronics Engineers, 1221-1226 p.

Ben Hamida Mrabet S., Rukoz M. (2016), Tuning Active Sampling Techniques for Evolutionary Learner from Big Data Sets: Review and Discussion, in Didier El Baz, Julien Bourgeois, Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016 Intl IEEE Conferences, IEEE - Institute of Electrical and Electronics Engineers, 1206-1213 p.

Cazenave T., Ben Hamida S. (2015), Forecasting Financial Volatility Using Nested Monte Carlo Expression Discovery, in IEEE, 2015 IEEE Symposium Series on Computational Intelligence, Piscataway, NJ, IEEE - Institute of Electrical and Electronics Engineers, 726-733 p.

Ben Hamida S., Schoenauer S. (2002), ASCHEA: new results using adaptive segregational constraint handling, in , Proceedings of the 2002 Congress on Evolutionary Computation, Institute of Electrical and Electronics Engineers, 884-889 p.

Ben Hamida S., Schoenauer M. (2000), An adaptive algorithm for constrained optimization problems, in Marc Schoenauer, Kalyanmoy Deb, Günther Rudolph [et al.], International Conference on Parallel Problem Solving from Nature, Berlin Heidelberg, Springer, 529-538 p.

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