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李秋齐

发布时间:2020-11-13 14:05    浏览次数:    来源:

李秋齐(Qiuqi Li)

 

职称/Position: 助理教授/ Assistant professor

地址/Address:湖南省长沙市湖南大学数学学院/School of Mathematics, Hunan University, Changsha 410082, P.R. China

办公室/Office: 406

Email: qli28@hnu.edu.cn

 

主要研究方向和兴趣/ Research Area

1、不确定性量化和统计建模

Uncertainty quantification and statistical modeling

2、多尺度方法,广义多尺度方法

Multiscale methods, Generalized multiscale methods

3、大规模问题的代理模型的构造模型约化方法

The construction of surrogate model, model reduction method

注:不确定性量化是交叉性十分明显的学科,想在数学、概率、统计、科学计算、力学等领域进一步深造的学生都可以选择进入这一研究领域。

 

教育背景/Education

2012.9--2018.6 (Ph.D.) School of Mathematics, Hunan University, China. (Supervisor: Prof. Lijian Jiang and Prof. Huailing Song)

2016.12--2017.12 (Joint Ph.D., sponsored by CSC), Department of Mathematics, Texas A&M University, United States.

2008.9--2012.6 (B.S.) School of Mathematics and Statistics, Taishan University, China.

 

工作经历/Previous Positions

2015.3--2015.6 Research Fellow, Department of Mathematics, Texas A&M University, United States. (with Prof. Yalchin Efendiev)

2018.9--2020.8 Postdoctoral Fellow, School of Mathematical Sciences, Peking University. (with Prof. Pingwen Zhang)

主要学术论文/Representative Publications

[1] Yong Huang, Qinfeng Li, Qiuqi Li, Stability analysis on the thermal insulation problems, Journal de mathematiques pures et appliquees, 2022, 168: 168-191

[2] Dongqin Chen, Qiuqi Li, Huailing Song, Error analysis of a stable reduced order model based on the proper orthogonal decomposition method for the Allen–Cahn–Navier–Stokes system, Computer Methods in Applied Mechanics & Engineering, 2022, 401: 115661.

[3] Qiuqi Li and P. Zhang. A variable-separation method for nonlinear partial differential equations with random inputs. SIAM Journal on Scientific Computing, 2020, 42: A723–A750.

[4] Qiuqi Li, Lijian Jiang. A multiscale virtual element method for elliptic problems in heterogeneous porous media. Journal of Computational Physics, 2019, 388 : 394- 415.

[5] Xinguang He, Qiuqi Li, Lijian Jiang. A reduced generalized multiscale basis method for parametrized groundwater flow problems in heterogeneous porous media. Water Resource Research, 2019, 55: 2390 - 2406.

[6] Lijian Jiang, Qiuqi Li. Model reduction method using variable-separation for stochastic saddle point problems. Journal of Computational Physics, 2018, 354: 43 - 66.   

[7] Lingling Ma, Qiuqi Li. Lijian Jiang. Local-global model reduction method for stochastic optimal equations. Computer Methods in Applied Mechanics & Engineering, 2018, 339: 514-541.      

[8] Qiuqi Li,Yuhe Wang, Maria Vasilyeva. Multiscale Model Reduction for Fluid Infiltration Simulation through Dual-Continuum Porous Media with Localized Uncertainties. Journal of Computational and Applied Mathematics, 2018, 336: 127- 146.

[9] Li, Qiuqi, Lijian Jiang. (2017). A novel variable-separation method based on sparse and low rank representation for stochastic partial differential equations. SIAM Journal on Scientific Computing, 2017, 39: A2879–A2910

[10] Lijian Jiang, Qiuqi Li. Model’s sparse representation based on reduced mixed GMsFE basis methods. Journal of Computational Physics, 2017, 338: 285-312.

[11] Lijian Jiang, Qiuqi Li. Reduced multiscale finite element basis methods for elliptic pdes with parameterized inputs. Journal of Computational and Applied Mathematics, 2016, 301:101-120.

[12] Huailing Song., Lijian Jiang., Qiuqi Li. A reduced order method for allen–cahn equations. Journal of Computational and Applied Mathematics, 2016, 292: 213-229.

 

科研课题/Research Grants

主持/PI:

1. 国家青年科学基金项目,复杂随机问题的一种高效低秩代理模型, 2022

2. 湖南省自然科学青年基金项目,复杂随机问题的模型约化方法及其应用,2022

3. 博士后科学基金面上项目,非线性随机问题的模型约化方法及其应用,2019 

主研/Major Participant:

1. 图像处理重的鲁棒性建模与计算方法,国家重点研发计划数学与应用研究专项青年     科学家项目--子课题 2021.12--2026.11

2. 北京智源人工智能研究院,机器学习驱动的可计算建模,2019-2021.

3. 深圳市大数据研究院开放课题,基于深度学习的气象要素预报与智能会商系统研究,   2019-2021

4. 国家自然科学基金面上项目,多尺度随机模型的约化方法及其若干应用,2015-2018.

5. 国家自然科学基金面上项目,非线性Cahn-Hilliard型方程自适应高阶稳定数值方法研究,2014-2016.

6. 湖南省自然科学基金,高阶偏微分方程自适应稳定的数值方法分析,2014-2016.

7. 国家青年千人计划,2013-2018

 

主要教授课程/Teaching

本科生课程:微分方程数值解、概率论与数理统计

研究生课程:应用随机过程

 

奖励荣誉/Prize and Honors

湖南省计算数学与应用软件学会第四届青年优秀论文,一等奖,2020.12

 

 

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