Following are the topical problems of interest under the broad category of multiscale modeling and simulation arising from spatial-temporal signal processing, imaging, and the associated problem of data representation, data compression, and model-order reduction.
Most of these methods are well-established techniques used for material structure-property correlation. However, the challenge of micro/nano-material structure-property correlation requires deeper insight into the signal characteristics and measured data.
In composite materials with inhomogeneous phases, identifying and separating certain signals from measured data sets is crucial. Many of these problems lead to non-linear and discrete optimization problems.
1. Laser-ultrasonics
2. Multifunctional imaging with spectroscopy
3. RF and microwave signal propagation and wireless sensing
4. Electromagnetic wave scattering and absorption by nanostructures
5. Optoelectronic signal processing in bio-systems diagnostics
6. Statistical machine learning from spatio-temporal signals involving ultrasonics, optical/photonic sensing/imaging