法國巴黎南大學Cai Caifang博士應邀來我校進行學術交流與訪問
（通訊員：劉璐、張亞忠）
應電子工程學院石光明教授的邀請，法國CNRS-SUPELEC-PARIS SUD（巴黎南大學，原巴黎十一大）Cai Caifang博士于2015年1月20日來我校進行學術交流與訪問。訪問期間，Cai Caifang博士后參觀了電子工程學院航天電子信息研究所，對我實驗室近些年取得的成果給予了高度的評價，并積極推進雙方課題組的合作交流。
1月20日下午，Cai Caifang博士后在主樓II區-227作了題為“Bayesian inversion methods in electromagnetic imaging for nondestructive evaluation”的精彩報告，報告會由電子工程學院光電信息與處理系吳金建講師主持。報告首先介紹了貝葉斯基礎理論，在該理論基礎上提出一種Markov Chain Monte-Carlo（MCMC）采樣算法，用于求解貝葉斯模型參數問題，所提算法已成功用于原子能核反應堆、航空、醫療等領域的無損探測成像。
在報告過程中，師生們結合自己的研究方向就報告內容與Cai博士展開了討論。Cai博士結合自己的經驗給出了一些建設性的意見。此次學術報告開拓了我校老師及同學們的學術視野，增強了學術研究氛圍，給予了大家極大的啟發和幫助。
個人簡介: 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.
