Research highlights
My interests are directed towards mathematical modeling of complex materials and biological systems as well as data-enabled statistical and computational methods for predictive modeling of physical phenomena with quantified uncertainties. My research areas of expertise are
- Multiscale and Multiphysics Modeling
- Nonlinear and Nonlocal Theories of Continuum Solid Mechanics
- Reduced Order Modeling of Molecular Systems
- Couple Particle and Continuum Modeling
- Data-Enabled Predictive Science
- Bayesian Model Validation and Uncertainty Quantification
- Science and Engineering Applications:
- Advanced micro- and nano-manufacturing of engineering materials,
- Tumor modeling and image derived treatment,
- Nonlinear and failure processes in structures/materials under extreme conditions, and other complex systems.
Find me on: Google Scholar.
Hybrid agent based-continuum model cancer cell evolution calibrated and validated by in vitro imaging data | DDDAS framework for realtime monitoring and control of material damage |
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Coarse-graning of atomistic system: Bayesian model validation with quantified uncertainty | Nonlocal continuum theory to capture size effect in plastic deformation of microscale thin metal film |