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Model-data fusion in digital twins of large scale dynamical systems
(2022-07)
Digital twins (DTs) are virtual entities that serve as the real-time digital counterparts of actual physical systems across their life-cycle. In a typical application of DTs, the physical system provides sensor measurements ...
Data-driven sub-grid model development for large eddy simulations of turbulence
(2019-05)
Turbulence modeling remains an active area of research due to its significant impact on a diverse set of challenges such as those pertaining to the aerospace and geophysical communities. Researchers continue to search for ...
Mechanical characterization of heterogeneous hyperelastic membrane using inverse methods
(2021-12)
Many soft biological tissues are heterogeneous, having different properties at different locations. Characterizing these tissues is very important for virtually testing potential medical technologies or protocols. Some ...
Quadcopter Trajectory Prediction and Wind Estimation Using Machine Learning
(2019-07)
Small unmanned aerial systems are heavily impacted by wind disturbances. Wind causes deviations from desired trajectories, potentially leading to crashes. In this thesis, we consider two inherently related problems: ...