题目：Adaptive Ensemble Square Root Filter with consistent ensemble reconstruction method for two-phase flows

主讲人：李义宝 教授

时间：2026年10月27日（星期二）16：00

地点：理学院308会议室

主办单位：国家天元数学西北中心、理学院

主讲人简介：

李义宝教授，国家青年人才计划入选者，现任西安交通大学数学与统计学院党委副书记、CSIAM 大数据与人工智能专委会秘书长。主要从事多物理场的耦合机制、智能计算等研究工作。在数学与交叉期刊发表论文百余篇，获国家授权发明专利12项。

摘要：

This talk will introduce an adaptive Ensemble Square Root Filter framework combined with an ensemble reconstruction method for inverse parameter estimation of two-phase flows. An adaptive strategy is employed to construct low-dimensional local observations, while the ensemble size is dynamically adjusted according to the corresponding observation subset. An ensemble reconstruction procedure is introduced to enable ensemble size variation while preserving the ensemble mean and covariance information in a statistical sense. The proposed framework avoids the additional sampling noise introduced by perturbed observations in the standard EnKF and improves parameter-estimation performance in small-ensemble settings. Comparative results demonstrate that the proposed method achieves reliable parameter estimation with significantly reduced ensemble sizes, thereby lowering computational cost while maintaining estimation accuracy.