Current and Past Research Topics include:
- Reduced order modeling and multiphysical simulation of MEMS
- Image-based modeling and characterization of biological structures
- Inverse problems in biomedical imaging
- Fast boundary element modeling of large-scale material systems
- Nearfield acoustical holography for noise source identification
- Process modeling and residual stress analysis of micro electro-discharge machining
Reduced Order Modeling and Multiphysical Simulation of MEMS
Micro-electro-mechanical system is a rapidly growing research area that may ultimately rival integrated circuit in importance. Experimentation at small scales is quite challenging and expensive. This leads to a strong need for high fidelity simulation to effectively predict the performance of micro-electro-mechanical systems. Our interest in this area is to develop efficient computational models and tools to simulate physical behaviors of MEMS by accounting for multiphysics interactions between coupled fields. For research opportunity at the undergraduate and graduate level, please contact Dr. Chen.
Image-based Simulation and Characterization of Biological Structures
Computational simulations can play an important role to augment experimental techniques in the characterization of biological structures as well as in the design of emerging tissue engineering materials. Our research interest in this area is to develop and apply image-based simulation tools for modeling and characterization of complex biological materials and structures. For research opportunity at the undergraduate and graduate level, please contact Dr. Chen.
Inverse Problems in Biomedical Imaging
Localization of biological source activity is of high diagnostic value. Our interest in this area is to develop noninvasive numerical procedures to tackle ill-posed biological source reconstruction problems with realistic images acquired from advanced imaging modalities. For research opportunity at the undergraduate and graduate level, please contact Dr. Chen.