"it is too beautiful outside to keep on concentrating on your screen" M.P.

Research

Scientific interests:
  • Numerical Analysis and Scientific Computing
  • Numerical Partial Differential Equations
  • Computational Fluid Dynamics
  • Optimal Control
  • Nonlocal diffusion problems
  • Data Assimilation
  • Biomedical modeling
 

Publications:
 
 
  • M. D'Elia, M. Gunzburger, Optimal control for nonlocal diffusion problems, in preparation


  • M. D'Elia, A. Veneziani, A Bayesian approach to data assimilation for the incompressible Navier-Stokes equations with applications to hemodynamics, submitted




 
 


  • M. D'Elia, E. Haber, L. Horesh, Design of Proper Orthogonal Decomposition basis by means of nonlinear inversion, in preparation
 

 
Invited Talks:


  • SISSA, Trieste, Italia, December 16, 2011. A statistical approach to computational fluid dynamics, an application to computational hemodynamics.


  • MOX, Modeling and Scientific Computing, Politecnico di Milano, Milano, Italia, December 15, 2011. A statistical approach to computational fluid dynamics, an application to computational hemodynamics.


  • BCAM, basque center for applied mathematics, Bilbao, Spain, December 5, 2011. A statistical approach to data assimilation for hemodynamics.


  • EPSRC Workshop: Topics in Control, University of Warwick, Coventry UK, November 30-December 2, 2011. A statistical approach to data assimilation for hemodynamics.


  • ICIAM 2011, Vancouver, Canada, July 18-22, 2011. Assimilation of noisy velocity measures for the numerical Navier-Stokes equations: a statistical approach.




  • Business Analysis and Mathematical Sciences, IBM J. Watson Research Center. September 24, 2010. Design of Proper Orthogonal Decomposition basis by means of nonlinear inversion




  • Uncertainty Quantification workshop: ICMS, Edinburgh, UK, May 24-28, 2010. A Data Assimilation technique for including noisy velocity measurements into Navier-Stokes simulations

 
 

Research presentation:

  • SIAM Student Conference 2011, Clemson University, February 19, 2011. M. D'Elia: A well-posedness result for data assimilation in computational fluid dynamics.
 
  • Business Analysis and Mathematical Sciences, IBM J. Watson Research Center. July 30, 2010. M. D'Elia: A data assimilation technique for hemodynamics.
 
  • Department of Mathematics and Computer Science; Seminar at Scientific Computing meetings, Emory University, Atlanta, November 18, 2009, February 27, 2008

  • SIAM Gators Student Conference, Gainesville, Florida March 3-5, 2009.  M. D'Elia, A. Veneziani: Numerical methods for including measured velocities   in an incompressible Stokes simulation

  • MateDay, Mathematical Modeling in Industrial and Financial groups, Milan, Italy May 21, 2007. M. D'Elia: The Mathematical Engineering Experience