Kaihong

I am a first year PhD student in the Department of Chemical Engineering. My research focuses on computational fluids dynamic analysis on patient-specific model based on 4D-flow MRI data. I aim to study the reliable association between hemodynamic indices and aortic growth and disease progression and develop risk stratifications for clinicians in decision-making process.

I completed my Bachelor in Engineering Mechanics at Sichuan University and my MSc in Thermal Power and Fluids Engineering at the University of Manchester. After my MSc, I worked as a research assistant in bioengineering research group at Sichuan University and I started my first research project in the field of aortic dissection.

Biography

2021 - present
PhD candidate in Chemical Engineering, Department of Chemical Engineering, Imperial College London, UK 

2020 - 2021

Research Assistant, Sichuan University, China

2018 – 2019

MSc Thermal Power and Fluids Engineering, University of Manchester, UK

2014 - 2018 

BEng Mechanics, Sichuan University, China

Research Interests

I am interested in computational fluids dynamics simulations and their application in predicting post-operative aortic progress in Type B aortic dissection.

Project Title

"Predicting Aortic Growth and Disease Progression in Type B Aortic Dissection"

Supervisor(s)

Professor Xiao Yun Xu

Department of Chemical Engineering, Imperial College London, UK

Publications

Wang, K., Li, D., Yuan, D., Zhao, J., Zheng, T., & Fan, Y. (2021). A computational fluid study on hemodynamics in visceral arteries in a complicated type B aortic dissection after thoracic endovascular repair. Medicine in Novel Technology and Devices, 9, 100054.

Contacts

OFFICE

1M17 ACEX, Department of Chemical Engineering, South Kensington Campus, Imperial College London, SW7 2AZ

OFFICE PHONE 

+44 (0)207 594 2562

E-MAIL

Email Kaihong