Abhijit Sarkar

Employment

• Carleton University Associate Professor
  2004 - Present
• McGill University NSERC Postdoctoral Fellow
  2000 - 2002
• Johns Hopkins University Postdoctoral Research Fellow
  1999 - 2000
• University of Waterloo Visiting Scholar
  1998 - 1999

Education

• University of Oxford D. Phil.
  1995 - 1998
• Indian Institute of Science MASc
  1993 - 1995

Projects & Funding

Projects & funding information is unavailable.

Publications (52)

• p Combined selection of the dynamic model and modeling error in nonlinear aeroelastic systems using Bayesian Inference
  Journal of Sound and Vibration 2022 DOI: 10.1016/J.JSV.2021.116418
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• Comprehensive compartmental model and calibration algorithm for the study of clinical implications of the population-level spread of COVID-19: a study protocol
  BMJ Open 2022 DOI: 10.1136/BMJOPEN-2021-052681
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• Aeroelastic oscillations of a pitching flexible wing with structural geometric nonlinearities: Theory and numerical simulation
  Journal of Sound and Vibration 2020 DOI: https://doi.org/10.1016/j.jsv.2020.115389
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• Nonlinear sparse Bayesian learning for physics-based models
  Journal of Computational Physics 2020 DOI: https://doi.org/10.1016/j.jcp.2020.109728
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• A parallel time integrator for noisy nonlinear oscillatory systems
  Journal of Computational Physics 2018 DOI: https://doi.org/10.1016/j.jcp.2018.01.019
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• Scalable domain decomposition solvers for stochastic PDEs in high performance computing
  Computer Methods in Applied Mechanics and Engineering 2018 DOI: https://doi.org/10.1016/j.cma.2017.09.006
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• Bayesian model selection using automatic relevance determination for nonlinear dynamical systems
  Computer Methods in Applied Mechanics and Engineering 2017 DOI: http://dx.doi.org/10.1016/j.cma.2017.01.042
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• Bayesian analysis of the flutter margin method in aeroelasticity
  Journal of Sound and Vibration 2016 DOI: 10.1016/j.jsv.2016.07.016
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• Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations
  Journal of Computational Physics 2016 DOI: 10.1016/j.jcp.2016.03.006
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• Bayesian parameter estimation and model selection for strongly nonlinear dynamical systems
  Nonlinear Dynamics 2015 DOI: 10.1007/s11071-015-2217-8
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