The meeting considered two topics: the emerging data streams amenable to computational modeling and data mining, and the emerging data analysis and modeling tools.
Because of the complexity of these tasks, computational modeling and data analysis are used to improve the yield, reproducibility and robustness in bioprocesses.
or presentation, 7, April, 2009. in the fields of modeling and data assimilation.
His research interests are in physical oceanography and climate physics, especially numerical modeling and data assimilation systems.
A systematic computational method for obtaining accurate elemental standards efficiently for varying borehole conditions was developed based on Monte Carlo simulations, surrogate modeling, and data assimilation.
However, in order to provide a numerical solution that will approximate the natural hazard at feasible computational cost, mathematical models, parallel algorithms, and data assimilation methods are required.
Ecological forecasting and data assimilation in a data-rich era.
Although technologies such as mass cytometry, and single-cell RNA sequencing, are able to generate high-dimensional high-throughput single-cell data, the computational, modeling and visualization techniques needed to analyze and make sense of this data are still lacking.
Computational modeling and analysis of intracardiac flows in simple models of the left ventricle.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis.
During his postdoctoral training at Georgia Health Sciences University, Dr. He developed expertise in computational modeling and visual electrophysiology.
