| Attention: this webpage is no more updated, please go to my updated EPFL homepage [here] |
Current Position: since 05/2006 Post-Doctoral Associate Researcher at MIT, USA, Prof. A.T. Patera, Mech. Eng. Dpt.
Past Position: 11/2002-04/2006 Prof.Alfio Quarteroni's (Chair of Modeling & Scientific Computing of EPFL)
Research Assistant (04/2006-present: Scientific Collaborator).
PhD in Numerical Analysis, Computational Science & Engineering at EPFL, Switzerland (Dec. 2005).
Master of Science in Aerospace Engineering, Aerodynamics at Politecnico di Milano, Italy (Oct. 2002).
The 2004 Bill Morton CFD Prize Winner. Institute of Computational Fluid Dynamics, University of Oxford (UK).
ECCOMAS Ph.D Award 2005. European Community on Computational Methods in Applied Sciences Award for the best Ph.D thesis in Computational Science and Engineering of 2005.
Cited in the 10th Edition of Marquis Who's who in Science and Engineering (R) 2008-09.
Current Research Emphasys: Real-Time Reliable Continuum Mechanics Computations:
Parametrized PDEs and A-Posteriori Error Estimation.
My Math Genealogy.
Reduced Basis Book: A.T. Patera and G. Rozza, Reduced Basis Approximation and A-Posteriori Error Estimation for
Parametrized PDEs, MIT-Pappalardo Graduate Monographs in Mechanical Engineering, (c) MIT 2006-07, in progress.
Reduced Basis Software Library: rbMIT Software, (c) MIT 2006-07, Tecnology Licensing Office (case 12600);
NEW: COMSOL interface for rbMIT.
Recent Publications @MIT: [preprints].
NEW: Examples of worked problems @MIT: [computing by a webserver].
NEW: CEA-EDF-INRIA: Summer School on Model Order Reduction and Reduced Basis Methods,
Paris, France, 23 June--4 July 2008.
NEW: Workshop on Reduced Basis Methods at SIMULA Labs, Oslo, Norway, 8 May 2008.
CONTACTS / ADDRESS
• Office : 3-237a
• Tel. : +1 617 452 3285
• Fax : +1 617 258 8559
• E-mail : email@example.com
• Address: MIT, Mech. Eng. Dpt., Room 3-264, 77 Massachusetts Avenue, MA-02139 Cambridge (USA).
• Optimal Control, Flow Control based on PDE's;
• Optimal Shape Design;
• Efficient Reduced-Basis Methods for parametrized PDEs and a posteriori error estimation;
• Computational Fluid Dynamics, Haemodynamics, Environmental Fluid Dynamics;
• Linear Elasticity;
• Heat and Mass Transfer;
• Small Perturbation Theory in Fluid Mechanics and Linearized Shape design;
• Parametrized Navier-Stokes Equations by Reduced Basis methods.
Do you want to learn more about our job? Have a look at Numb3rs, a tv show.
"We all use math every day; to predict weather, to tell time, to handle money. Math is more than formulas or equations;
itís logic, itís rationality, itís using your mind to solve the biggest mysteries we know"....
Math is also in 21, but with another spirit...