拥有连续六年针对动力学的研究经历，主要涵盖了结构安全监控和振动学相关的研究。

具有鲜明的跨学科的研究背景，结合了传统的动力阻尼系统的研究和时兴的机器学习AI算法。拥有长达两年的基于机器学习AI算法的流体力学方向的研究。长达8年的资深编程经验，精通MATLAB和PYTHON。9年英国留学经历（本硕博）

教育背景和研究：

博士后，流体专业，西北工业大学，中国

研究重点：流体力学，Kriging算法，NUMECA流体机械模拟 etc.

博士，机械工程专业，谢菲尔德大学，英国

研究重点：基于机器学习算法的结构安全监控，统计学算法，颗粒阻尼系统的模拟，高斯过程，监督学习模型的构建与应用，罗罗发动机公司的商业项目等。

研究生，机械工程专业，谢菲尔德大学，英国

研究重点：基于ANSYS和DYNA的有限元分析，模拟和设计爆破片等

本科，机械工程专业，谢菲尔德大学，英国

研究重点：基于ANSYS模拟的颗粒阻尼系统的传统研究方法

Tianwei Zhang,

1. Six consecutive years of research experience in dynamics, concerning structural health monitoring (SHM) and other vibration-based studies.

2. Interdisciplinary background encompassing the abovementioned scopes incorporated with machine learning and artificial intelligence (AI).

3. Additional experience with applying machine learning techniques to fluid dynamics.

4. A senior programmer with eight years of working experience in Matlab and Python.

5. Nine years of studying abroad in the UK from undergraduate to PhD.

Education and researches

Postdoc, Fluid Dynamics, Northwest Polytech university, China

Research Foci: Fluid dynamics, Kriging algorithms, NUMECA simulations, commercial success, etc.

PhD, Mechanical Engineering, The University of Sheffield, United Kingdom.

Research Foci: Structural Health Monitoring using machine learning and statistical tools, particle damping systems, Gaussian Processes, Supervised learning algorithms, Rolls-Royces R&D projects etc.

MSc in Advanced Mechanical Engineering, University of Sheffield, United Kingdom.

Research Foci: Finite Element Analysis with ANSYS and LS-DYNA, the modelling of bursting discs etc.

BEng in Mechanical Engineering, University of Sheffield, United Kingdom.

Research Foci: The study of particle damping systems with conventional approaches