Inverse Problems and Regularization Theory

Speaker:     Dr. Shuai Lu

Time:          Jun.25.2021 15:00-16:00

Location:    SIST 1C101

Host:            Prof. Yue Qiu

Abstract:

The theory of inverse problems has a wide variety of applications because any mathematical model needs to be calibrated before it can be used, and such a calibration is a typical inverse problem. The regularization theory, in its turn, is the algorithmic part of the theory of inverse problems. It provides and analyzes the methods for dealing with ill-posedness that is one of the main issues for inverse problems. The aim of this talk is to provide a brief introduction of inverse problems in the context of the regularization theory under the framework of linear and nonlinear inverse problems.

Bio:

陆帅，复旦大学数学科学学院教授，主要从事数学物理反问题计算方法与数学理论的研究，特别是反问题正则化方法收敛性分析及偏微分方程反问题稳定性理论等。至今在Inverse Problems、SIAM系列、Numer. Math.、Math. Comp.等权威期刊共发表学术论文五十余篇，合作出版英文学术专著一本。2019年获得国家杰出青年科学基金资助，现任《Inverse Problems》的编委。曾获上海市自然科学奖一等奖（第二完成人）。

SIST Seminar 202116