Educational Qualification:
  • Doctor of Philosophy (Civil Engineering), Carleton University, Ottawa, Canada, 2006 - 2013
    • Thesis title: Bayesian Inference for Complex Engineering Systems
    • Thesis Description: The objective of this research is to develop a scalable data assimilation technique to tackle high-dimensional state space models governed by stochastic partial differential equations (SPDEs) relevant to engineering mechanics while taking advantage of the available high-performance computing infrastructure. The proposed technique exploits the data parallelism inherent in domain decomposition method (DDM) based solvers. The data assimilation step will employ the newly developed polynomial chaos Kalman filter (PCKF), circumventing the need for computationally intensive Monte Carlo simulation that is relied upon by sampling-based nonlinear filtering techniques, such as the particle filter and ensemble Kalman filter.
  • Master of Applied Science (Civil Engineering), Carleton University, Ottawa, Canada, 2004 - 2006
    • Thesis title: Reduced Order Linear System Identification
    • Thesis Description: The investigation undertaken explores the feasibility of identifying a reduced order model of linear dynamical system operating on the mid-frequency regime. Proper Orthogonal Decomposition and Independent Component Analysis are used as vehicles for model reduction. Such reduced-order model circumvents the limitations of traditional modal analysis which, although well-adapted in the low-frequency range, is prone to computational and conceptual difficulties in the mid-frequency range. The inverse problem involving identification of the system matrices (namely mass, damping and stiffness matrices) are posed in the framework of a least-squares estimation problem. To achieve this objective, Kronecker Algebra is aptly exploited to identify these matrix-valued variables. The concept of Tikhonov regularization permits additional physical constraints to be satisfied in terms of a symmetric property of the system matrices.
  • Bachelor of Engineering with distinction (Electrical and Computer Engineering), McGill University, Montreal, Canada, 2000 - 2004
  • Bachelor of Science with great distinction (Microbiology and Immunology), McGill University, Montreal, Canada, 1997 - 2000

Scholarships, Awards, and Certificates:

Graduate Courses Credited/Audited:
  • System Identification
  • Uncertain Systems
  • Aeroelasticity
  • Discrete Dynamical Systems
  • Inverse Modeling
  • Random Matrix Theory with Applications in Computational Mechanics
  • Structural Dynamics
  • Finite Element Method
  • Digital Signal Processing
  • Probabilistic Theory and Risk Assessment
  • Introduction To Inverse Problems