报告人：高婷（华中科技大学）

时间：2024年04月07日 11:00-

地点：理科楼LA103

摘要：Action functionals between two meta-stable states in stochastic dynamical systems are good tools to study the critical transitions and tipping. We will present our recent findings on tipping indicators based on the Onsager-Machlup action functional and Schrödinger bridge. The latter also extends the transition paths to be pathway measures between two given invariant manifolds. To validate our framework, we apply our methodology to some neural models as well as real brain data, such as EEG and fMRI from epilepsy and Alzheimer's disease.

简介：高婷于2015年获得伊利诺伊理工大学博士学位。她曾在美国MZ和Twitter的大数据产品开发部担任高级数据科学家和机器学习工程师。现就职于华中科技大学数学科学中心和太阳成集团tyc539，主要研究方向包括非高斯随机动力系统的识别、有效动力学的预测与优化控制，以及在信息通信、金融数学和脑科学中的应用。她已在SIAM系列期刊、Physica D、AMM等发表论文20余篇。

邀请人：吴风艳

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