Professor Xuerui Mao

Dr. Wenqiang Zhang obtained his PhD degree from Imperial College London and MSc from Chinese Academy of Sciences. He worked as a research fellow at the University of Nottingham and he was funded by Airbus and European Clean Sky2 to investigate the aircraft icing problems. His research Interests include icing simulation with phase-field method, anti-icing system design, wing aerodynamics and compressor aerodynamics and stability.

Dr. Dandan Xiao obtained her BEng in Mechanical Engineering at the University of Nottingham, and then MSc and PhD from the Department of Aeronautics at Imperial College. Her main research areas include: 1. flow instability, in particular bypass transition using Direct Numerical Simulation; 2. Flow control such as drag reduction in turbulent flow; 3. high-dimensional data assimilation with both model-based (adjoint variational technique) and data-based method (artificial neural network, gaussian process regression).

Dr. Xin Yang obtained his doctorate from University of Sheffield. From 2018 to 2022, he was a postdoctoral researcher at University of oxford. He obtained the 2017 distinguished paper award from the combustion institute for his paper on ash deposition. His main research interests are in the area of computational and experimental particle deposition, such as icing issues in jet engine, ash related issues in combustion furnace. He has independently developed an icing code at Oxford for Rolls-Royce and a particle deposition prediction tool at Sheffield for EPRI.

Dr. Jie Ren obtained his Bachelor's and PhD degrees in Mechanical Engineering at Tsinghua University. His ongoing and future research dedicates to theoretical and numerical advancement towards a fundamental understanding of complex fluid flows and technical innovations in high-speed flows, sustainable energy and green aviation. His research interests include: 1) Interdisciplinary research integrating computer vision, machine learning, fluid mechanics and pertinent contemporary ideas. 2) Flow instability and laminar-turbulent transition with non-ideal fluids. 3) Numerical algorithms and software engineering. He was an Alexander von Humboldt Research Fellow and joined BIT in January 2023.

Dr. Jie Yao obtained the B.S. in Nanjing University of Science and Technology in 2011 and an M.S. in University of Houston in 2013 and Ph.D. from Texas Tech University in 2019. His expertise is in vortex dynamics, turbulence, flow control, and high-performance computing. His research interests include: 1) fundament understanding of vortex evolution and interactions. 2) numerical simulations and physics of high Reynolds number wall turbulence. 3) drag controls/reduction. https://scholar.google.com/citations?user=e0UkyXoAAAAJ&hl=en

Dr. Lei Dong obtained his Ph.D. in Mechanical Engineering from the University of Nottingham and worked as a research assistant supported by EPSRC and European Clean Sky 2. His research centers on theoretical and experimental investigations in the field of biomimetic flapping wings, with a particular emphasis on the following areas: 1) the unsteady vortical structures and aerodynamics of flapping wings; 2) multi-flight posture design of flapping wings; and 3) flow control techniques, including lift enhancement and drag reduction.

Dr. Yiyi Chen obtained her PhD degree from University of Nottingham. She worked as a senior engieneer at Dynex Semiconductor before she joined BIT. She works on experimental study of the icing process.

Dr. Xiaorong Wang obtained her PhD degree from University of Chinese Academy of Sciences. Her research areas include: 1)  Two-phase incompressible magnetohydrodynamic (MHD) problem; 2) Numerical methods for MHD equations; 3) Finite element method.

Dr. Yongkai Chen obtained his PhD degree in Mechanical Engineering from Purdue University. His research interests include: 1) High-fidelity numerical simulations of hypersonic wall-bounded turbulent flows. 2) Wall-modeling of compressible turbulent flows. 3) Time-domain impedance boundary condition and its applications in simulations of high-speed flows over engineered surfaces.

Dr. Dhiraj Lote obtained his PhD degree from Institute of Chemical Technology Mumbai (ICT) and master degree from Indian Institute of Technology Guwahati (IITG). His research areas include: Computational Fluid Dynamics (CFD), Multiphase Flow, Heat Transfer, Reaction, Population Balance Modelling (PBM), Finite Volume Method (FVM), RANS and Turbulence.

Mr. Dong Xu got his MSC and BEng from Lanzhou University. His research focuses on high-dimensional data assimilation and the  atmosphere simulation with applications in wind energy.

Mr. Zhiqiang Xu got his bachelor's degree and Msc from Huazhong University of Science and Technology.  Engaged in the research of aircraft anti-icing technology for 13 years, he was awarded the title of senior engineer in 2016 and promoted as the first-class technical expert in 2019.

Mr. Chuan Chen graduated from Harbin Institute of Technology. He is now the senior engineer of AVIC Chengdu Aircraft Design and Research Institute. He is engaged in the design and evaluation of the aircraft energy system.

Miss. Wei Zhang graduated from Shanxi University with a bachelor's degree and obtained her  master's degree from Renmin University of China. Her research focuses on the application of multimodal fusion in the classification of small sample image/point cloud.

Mr. Rahul Venkatesan has graduated from his Bachelor of Technology with first class from SRM University, India. He got his Master of Science from Manchester University, United Kingdom and graduated with merit. His main areas of interests include developing cutting-edge research techniques in spectral/hp element method for CFD applications. 

Mr. Htet Myet Ne Ye graduated with a Masters of Engineering, MEng (Hons), in Mechanical Engineering, from the University of Nottingham, Malaysia Campus. His research currently focuses on the effects of inflow velocity perturbations in fluid flow.

Mr. Guoqiang Lei graduated from Beijing University of Chemical Technology and his research area is data-driven reduced-order model.

Mr. Yin Wang graduated from University of Science and Technology Beijing with a bachelor's degree and obtained his master's degree from China University of Mining & Technology-Beijing. His research currently focuses on the data-driven reduced-order model.

Mr. Lijing Zhou gained bachelor degrees from Beijing University of Chemical Technology and the University of Detroit Mercy and a Master's degree from the University of Bristol. His current research focuses on experimental fluid mechanics and icing process.

Mr. Huanyu Zhu graduated from Guizhou University with his bachelor’s degree. He obtained his master’s degree from Central South University. His research focuses on the Phase-Field method in Computational Fluid Dynamics.

Mr. Hongyuan Hu graduated with a bachelor's degree from Shandong University of Science and Technology and obtained a master's degree from Fuzhou University. He is currently majoring in Safety Science and Engineering, mainly studying fluid stability and transition.

Mr. Hamed Sedighi graduated from Babol Noshirvani University of Technology with a bachelor's degree and obtained his master's degree from Shahrood University of Technology. His research interests include: 1) Computational Fluid Dynamics (CFD). 2) flow control and drag reduction. 3) wind energy 4) artificial intelligence in fluid mechanics.

Miss. Yu Zhang graduated from Wuhan University of Technology. Her work focuses on the numerical simulation of hypersonic rocket engines.

Mr. Miha Donša completed his bachelor's and master's degree from the University of Maribor, Slovenia. He worked as a Simulation Engineer at AVL-AST before joining BIT. His areas of interests are in optimization, acceleration and implementation of modern computational tools and techniques in the simulation of transport phenomena.

Miss. Yaoxuan Tang graduated from Taiyuan University of Technology with a bachelor's degree and obtained her master's degree from Beijing Institute of Technology. Her research focuses on fluid structure interaction by the immersed boundary method.

Mr. Yin Zhu graduated from North Central University and his research focuses on high-dimensional data assimilation.

Miss. Yuge Wang graduated from China University of Geosciences (Wuhan) with a bachelor's degree, and her research direction is CFD study of wing aerodymanics and data processing using deep learning methods.

Mr. Yijun Lu, MSC, graduated from Wuhan University of Technology. His research focues on aircraft anti-icing and drag reduction.

Miss. Keer Xia graduated from China University of Petroleum. Her research direction is the numerical simulation of helicopter Brownout.

Mr. Tianxin Wang graduated from  

Taiyuan University of Technology. His research focuses on composite materials absorb waves and aircraft anti- and de-icing.

Mr. Guangyu Wang graduated from Northeastern University and his research focuses on  aircraft anti- and de-icing.

Mr. Xu Wang graduated from Chang'an University with a bachelor's degree and his research direction is related to ice crystal freezing and numerical calculations.

Mr. Xiaozheng Jiang graduated from North China Elecetric Power University. 

Miss. Yu Fang graduated from Beijing Institute of Technology. 

Mr. Guoqiang Liu graduated from ChongQing University.

Mr. Gaotong Wang graduated from Beijing Institute of Technology with a bachelor’s degree, and his research direction is data assimilation of fliud data.

Miss. Zhan Fu gradiated from China University of Petroleum and her research direction is aircraft anti- and de-icing.

Miss. Guanghui Ren graduated from Wuhan University of Technology. Her research focuses on biomimetic flapping wing aircrafts.

Mr. Shenao Xiao graduated from Zhengzhou University. His research focuses on data science and machine learning.

Mr. Wenzhuo Yang graduated from Nanjing University of Information Science and Technology.His research focuses on flow simulation and modeling.

Miss. Zhixu Jin graduated from China University of Geosciences (Beijing). Her research focuses on the digital twin.