- 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
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- Phone: 508.999.8465
- Fax: 508.999.8964
- Office: Textile Building, Room 219A
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.
- 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