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Mazdak Tootkaboni

Assistant Professor

  • Ph.D. in Civil Engineering, Johns Hopkins University, Baltimore, MD, 2009
  • M.Sc. in Civil Engineering, Tehran University, Tehran, Iran, 2002
  • B.Sc. in Civil Engineering, Tehran University, Iran, 2000

Contact information

  • Send Email
  • Phone: 508.999.8465
  • Fax: 508.999.8964
  • Office: Modular 1, Room 8

Biography

 

Mazdak P. Tootkaboni earned his high school diploma in mathematics and physics in June 1995. He then attended University of Tehran in Iran where he was awarded BSc in Civil Engineering and MSc in Earthquake engineering in April 2000 and December 2002 respectively. He joined the Department of Civil Engineering at the Johns Hopkins University in 2004 and earned his PhD degree in Structural Mechanics in May 2009.

Dr Tootkaboni’s research lies at the intersection of computational mechanics and applied probability and statistics. He develops schemes that combine recent advances in stochastic modeling (e.g. stochastic PDE solving techniques) and applied statistics (e.g. machine learning and statistical inference) with the existing methods in computational mechanics. These schemes have a wide range of applications, from uncertainty modeling (representation and propagation) to model validation and from reliability analysis to integration of experiments and computational models, and fault tolerant (uncertainty informed) design topology optimization. He is an associate member of ASCE and a member of Engineering Mechanics Institute (EMI) and its Probabilistic Mechanics Committee. 

 

Research Interests:

  • Stochastic computational mechanics and uncertainty quantification
  • Construction of consistent data-driven stochastic models
  • Stochastic multi-scale modeling of heterogeneous materials
  • Design topology optimization under uncertainty
  • Stochastic non-linear analysis of thin-walled structures
  • Stochastic structural stability and dynamics

Selected Publications:

A. Asadpoure, M. Tootkaboni, and J.K. Guest, Robust topology optimization of structures with uncertainties in stiffness - application to truss structures, Computers and Structures, under review, 2010

M. Tootkaboni, L. Graham-Brady, A multi-scale spectral stochastic method for homogenization of multi-phase periodic composites with random material properties, International Journal for Numerical Methods in Engineering, 83, 59-90, 2010

M. Tootkaboni, L. Graham-Brady, Stochastic direct integration schemes for dynamic systems subjected to random excitations, Probabilistic Engineering Mechanics, 25, 163-171, 2010

M. Tootkaboni, L. Graham-Brady and B.W. Schafer, Geometrically non-linear behavior of structural systems with random material property: an asymptotic spectral stochastic approach, Computer Methods in Applied Mechanics and Engineering, 198, 3173-3185, 2009

 

Conference presentations, and invited talks:

M. Tootkaboni, Computational Modeling of Uncertainty in Structural Mechanics, Invited Talk, Department of Civil Engineering, New Mexico State University, Las Cruces, New Mexico, February, 2010

M. Tootkaboni, L. Graham-Brady, A family of stochastic direct integration schemes for the second order statistics of dynamical systems subjected to random excitations, Inaugural International Conference of the Engineering Mechanics Institute, Minneapolis, Minnesota, May 19-21, 2008

M. Tootkaboni, L. Graham-Brady, A homogenization based spectral stochastic approach for linking global properties to local variations in random heterogeneous media, Ninth National Congress on Computational Mechanics, San Francisco, CA, July 2007

M. Tootkaboni, L. Graham-Brady, A family of stochastic direct integration schemes for dynamical systems subjected to non-white excitations, 18th  ASCE Engineering Mechanics Division Conference, Blacksburg, VA, June 3-6, 2007

M. Tootkaboni, L. Graham-Brady and  B.W. Schafer, Evaluation of post-bifurcation behavior of structural systems with random material property using Koiter’s method: a spectral stochastic approach, 18th ASCE Engineering Mechanics Division Conference, Blacksburg, VA, June 3-6, 2007

M. Tootkaboni, L. Graham Brady, A multi-scale stochastic computational approach for linking local and global behavior of random media,  Seventh World Congress on Computational Mechanics, Los Angeles, CA, July 2006

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