Ana Karina Fermin Rodriguez

Ana Karina Fermin Rodriguez 

Ana Karina Fermin Rodriguez
Assistant Professor
Université Paris Nanterre
Researcher Associated with Labex MME-DII

Address

Lab. Modal'X
Université Paris Nanterre
200, avenue de la République
92001 NANTERRE Cedex

Office: E11, Bât. G

Phone: +33 1 40 97 78 35

Email: aferminrodriguez@parisnanterre.fr

Presentation

Since 2008, I have been an assistant professor at University Paris Ouest Nanterre La Défense. I'm conducting my research in the laboratory Modal'X and teaching statistics in various departments of the university.

Trajectory

  • 2008-: Assistant Professor at Université Paris Ouest, Nanterre.

  • 2007-2008: Post-doctoral study (CNRS) in the Inria team Select (Université Paris Sud, Orsay) with M. Lavielle

  • 2006-2007: Post-doctoral study at IFP-Lyon with F. Wahl.

  • 2003-2006: PhD in Mathématics, Universidad Central de Venezuela, under the supervision of C. Ludeña

    • 2006: Defense of the thesis Iterative methods and model selection for the resolution of ill-posed inverse problems

    • 2005: Research internship, Université d’Orsay France and Université Paul Sabatier, project : FONACIT

    • 2004: Research internship, Université d’Orsay France, project : ECOS-Nord

    • 2002-2006: Assistant Professor, Mathématic Department, Universidad Central de Venezuela (2002-2005).

  • 1999-2002: Master of Mathematics Modelos aleatorios, Universidad Central de Venezuela

    • Thesis Use of stochastic algorithms in seisimc tomogaphy under the supervision of C. Ludeña and H. Klie

  • 1993-1998: Licence of Mathematics, Universidad Central de Venezuela

    • Venezuelian title corresponding to 5 years of study

    • Thesis Utilisation of the wave equation and the Green function to model horizontal wells under the supervision of J. Guevara

Research themes:

  • Inverse problems:

    • Regularization methods

    • Model selection

  • Learning and experimental design:

    • Kernel methods (SVM, kriging).

    • Experimental design

    • Active learning

    • Model selection

  • Seismic tomography:

    • Well modeling in oil industry

    • Numerical schemes of PDE

  • Pharmacokynetic and pharmacodynmaic:

    • Non lineal mixed effect models

  • Extreme value theory