數(shù)學(xué)與統(tǒng)計(jì)學(xué)院研究生導(dǎo)師信息

一、電子照片

二、基本情況

姓名：歐娜

性別：女

學(xué)歷學(xué)位：博士

職稱：講師

職務(wù)：無

學(xué)術(shù)兼職：無

研究方向：不確定性量化

電子郵箱：oyoungla@163.com

三、專業(yè)教學(xué)及教學(xué)成果

主要承擔(dān)《常微分方程數(shù)值解法》、《高等工程數(shù)學(xué)》、《數(shù)值計(jì)算方法》、《數(shù)學(xué)建模》課程教學(xué)；

四、研究方向及研究團(tuán)隊(duì)

主要從事不確定性量化領(lǐng)域科研工作；

五、科研成果

1、主持國(guó)家自然科學(xué)基金“基于貝葉斯神經(jīng)網(wǎng)絡(luò)的PDE參數(shù)反演”（No.11901060）,2020-2022.

2、主持湖南省教育廳科學(xué)研究項(xiàng)目“基于貝葉斯神經(jīng)網(wǎng)絡(luò)的模型校正與識(shí)別”

（No.19C0044),2020-2022.

3、主持湖南省自然科學(xué)基金“基于深度神經(jīng)網(wǎng)絡(luò)的PDE參數(shù)識(shí)別”

(No.2021JJ40557),2021-2023.

[1] Na Ou, Guang Lin, and Lijian Jiang*.  A Low-Rank Approximated Multiscale Method for Pdes With Random Coefficients. SIAM Multiscale Modeling & Simulation. 18.4 (2020): 1595-1620.

[2] Na Ou, Lijian Jiang and Guang Lin*. A new bi-fidelity model reduction method for Bayesian inverse problems, International Journal for Numerical Methods in Engineering, 119 (2019), pp. 941–963.

[3] Lijian Jiang*, Na Ou. Bayesian Inference Using Intermediate Distribution Based on Coarse Multiscale Model for Time Fractional Diffusion Equations. SIAM Multiscale Modeling Simulation.16.1 (2018): 327-355.

[4] Yuming Ba, Lijian Jiang*, Na Ou.A two-stage ensemble Kalman filter based on multiscale model reduction for inverse problems in time fractional diffusion wave equations.Journal Of Computational Physics. 374 (2018)300-330.

[5] Lijian Jiang*, Na Ou. Multiscale model reduction method for Bayesian inverse problems of subsurface flow, Journal of Computational and Applied Mathematics, 319 (2017) 188-209.