（通讯员：刘璐、张亚忠）
应2026世界杯官网石光明教授的邀请，法国CNRS-SUPELEC-PARIS SUD（巴黎南大学，原巴黎十一大）Cai Caifang博士于2015年1月20日来公司进行学术交流与访问。访问期间，Cai Caifang博士后参观了2026世界杯官网航天电子信息研究所，对我实验室近些年取得的成果给予了高度的评价，并积极推进双方课题组的合作交流。
1月20日下午，Cai Caifang博士后在主楼II区-227作了题为“Bayesian inversion methods in electromagnetic imaging for nondestructive evaluation”的精彩报告，报告会由2026世界杯官网光电信息与处理系吴金建讲师主持。报告首先介绍了贝叶斯基础理论，在该理论基础上提出一种Markov Chain Monte-Carlo（MCMC）采样算法，用于求解贝叶斯模型参数问题，所提算法已成功用于原子能核反应堆、航空、医疗等领域的无损探测成像。
在报告过程中，师生们结合自己的研究方向就报告内容与Cai博士展开了讨论。Cai博士结合自己的经验给出了一些建设性的意见。此次学术报告开拓了公司老师及同学们的学术视野，增强了学术研究氛围，给予了大家极大的启发和帮助。
个人简介: Dr. Caifang Cai received the B.E. degree in Electrical Information Engineering from Xidian University, China, in 2007, and the M. S. degree in Signal & Image Processing from TélécomBretagne, France, in 2009. She was awarded the Ph.D degree in Physics from University ParisSud, France, in 2013. She joined the Laboratory of Signals & Systems (L2S), CNRS-SUPELEC-PARIS SUD, from November 2013. She presently is a postdoctoral fellow working jointly with the Group of Inverse Problems and the Group of Electromagnetics in the project Bypass (Bayesian Methods for the diagnosis and Probability of Detection assisted by Simulation), supported by the French National Research Agency (ANR), in cooperation with research centers (CEA in France, ELEDIA in Italy) and industrial companies (EDF, Airbus, etc.). One of her major research topics is to tackle linear and non-linear inverse problems by using statistical approaches. Her interests include solving electromagnetic imaging problems by using meta-modeling and Bayesian methods in combined fashion. Her recent work focuses on flaw characterization in Eddy-Current Testing for aeronautic applications. She is experienced also in solving large-scale non-linear problems, such as the spectral X-Ray Computed Tomography.
