职称：博士后

邮箱：Qijie.Li@whu.edu.cn

个人网站：https://www.researchgate.net/profile/Qijie-Li

研究领域及招生方向：

研究领域: 城市水循环与水安全、计算流体力学、水力学及河流动力学

研究方向:城市洪涝机理及模型、城市防洪与减灾、城市水环境及生态、城市水资源、城市智慧水利

教育背景：

2008.09-2012.06  华中科技大学，船舶与海洋工程专业，本科

2008.09-2012.06  华中科技大学，德语专业，本科

2012.06-2015.09  海军工程大学，动力工程及工程热物理专业，硕士

2015.10-2019.04  Cardiff University，Civil Engineering，博士

工作经历：

2021年-至今 8858cc永利官网，8858cc永利官网，博士后

开设课程：

《港口规划与平面布置》（本科生）

《计算水动力学》（研究生）

代表性科研项目：

国家自然科学基金青年科学基金项目（2023.1~2025.12，主持）

中国博士后科学基金特别资助项目（2023~至今，主持）

中国博士后科学基金面上项目（2022~至今，主持）

中央高校青年教师资助项目（2022.1~2023.12，主持）

国家自然科学基金重点国际（地区）合作研究项目（2024-2028，参与）

国家自然科学基金联合基金项目（2023~2026，参与）

国家自然科学基金牛顿高级学者基金项目（2020~2022，参与）

国家杰出青年科学基金，(2018-2022，参与)

FLEXIS which is part-funded by the European Regional Development Fund (ERDF)（2016~2019, 参与)

学术兼职：

Member (Young Professionals), International Association of Hydro-environmental Engineering and Research (IAHR), 2022

奖励与荣誉：

Best Presentation Award for “Gregynog Conference”, UK, 2018

The First Prize of the 10th National Graduate Mathematics Modeling Competition (Team leader), 2013

National Scholarships of China, HUST, 2011

华中科技大学“校三好学生”，2011

代表性学术成果：

论文：

1. Li, Q., Xia, J.*, Dong, B., Liu, Y., Wang, X. (2023): Risk assessment of individuals exposed to urban floods. International Journal of Disaster Risk Reduction, 88, 103599.

2. Li, Q., Xia, J.*, Dong, B., Zhou, M. (2022): Near-field flow dynamics of grate inlets during urban floods. Physics of Fluids, 34(8), 87111. “Featured Article”

3. Li, Q., Xia, J.*, Xie, Z., Zhou, M., Deng, S. (2022): Hazard and vulnerability in urban inundated underground space: hydrodynamic analysis of human instability for stairway evacuation. International Journal of Disaster Risk Reduction, 2022,70, 102754.

4. Li, Q., Xia, J.*, Zhou, M., Deng, S., Zhang, H., Xie, Z. (2022): Physical Modelling of Energy Losses at Surcharged Three-way Junction Manholes in Drainage System. Water Science and Technology, 85(4): 1011-1026.

5. Li, Q., Xia, J.*, Yokoi, K.*, Omar, S. (2021): Boundary variation diminished conservative semi-Lagrangian method for both compressible and incompressible flows. Physics of Fluids, 33(11), 117114.

6. Li, Q.*, Yokoi, K.*, Xie, Z., Omar, S., Xue, J. (2021): A fifth-order high-resolution shock-capturing scheme based on modified weighted essentially non-oscillatory method and total boundary variation diminishing algorithm for compressible flows and compressible two-phase flows. Physics of Fluids, 33(5), 056104.

7. Li, Q., Omar, S., Deng, X., Yokoi, K.*. (2017): Constrained Interpolation Profile Conservative Semi-Lagrangian Scheme Based on Third-Order Polynomial Functions and Essentially Non-Oscillatory (CIP-CSL3ENO) Scheme, Communications in Computational Physics, 22(3): 765-788.

8. Li, Q., Zhang, Z.*, Gu, J., Wang, C., Li, B., Gao, L. (2013): Steady Motions Performance of an Underwater Glider with Pump on the Vertical Plane. Applied Mechanics and Materials, 387, 310-313.

9. Li, J., Liu, Y., Li, Q.*, (2022): Intelligent fault diagnosis of rolling bearings under imbalanced data conditions using attention-based deep learning method. Measurement, 189, 110500.

10. Li, J., Liu, Y., Li, Q.*, (2022): Generative Adversarial Network and Transfer Learning Based Fault Detection for Rotating Machinery with Imbalance Data Condition. Measurement Science and Technology, 33, 045103.