Tag: Biomedical Engineering

As a final-year PhD candidate in Biomedical Engineering at Michigan Tech, my research revolves around understanding complex blood flow patterns and their implications for aneurysm development and rupture. Specifically, I focus on two types: intracranial aneurysms and abdominal aortic aneurysms.

In my dissertation, I utilize computational fluid dynamics to simulate blood flow within 3D vascular models extracted from medical imaging data of patients with aneurysms. By applying innovative computational methods, I analyze velocity and wall shear stress characteristics within the aneurysm. This approach has led to the development of new metrics that enhance our ability to distinguish between ruptured and unruptured aneurysms, shedding light on flow conditions indicative of potential rupture. Moreover, I’ve devised a systematic method for assessing the composition of intraluminal thrombosis (ILT). Using deep learning algorithms, I identify the ILT region within the vascular model and employ radiomics to analyze its structural properties. This analytical framework provides novel insights into the ILT region, thereby enhancing our ability to identify abdominal aortic aneurysms at heightened risk of rupture. The final aspect of my doctoral research is to develop a nearly automated pipeline to run CFD simulations with minimal user interaction. This automated workflow aims to eliminate time-consuming and labor-intensive steps, making the process more efficient and user-friendly.

My hope is that this work will one day eliminate the current barrier to integrating CFD simulation into clinicians’ workflow and help doctors leverage CFD simulation in their decision-making process. The quantified measures of flow characteristics and ILT composition may be utilized in the clinical setting to better identify which aneurysms are at high risk of rupture. This could guide clinical decision-making to determine if aneurysm surgery prior to rupture is worth the risk, or if an aneurysm is likely to remain stable, posing minimal risk to the patient’s health.

I want to express my sincere gratitude to the Graduate Dean Award Advisory Panel for granting me this award. I also want to thank my advisors, Dr. Jingfeng Jiang, and my committee members, Dr. Sean Kirkpatrick, Dr. Hoda Hatoum, and Dr. Weihua Zhou, for their invaluable guidance and expertise throughout my time at Michigan Tech. Their mentorship has been crucial in shaping my research and academic journey.

As I approach the culmination of my graduate studies, I am profoundly grateful for the opportunity to express my deepest gratitude for being selected as a recipient of the Graduate Finishing Fellowship. This award not only signifies a recognition of my academic achievements but also serves as a testament to the invaluable support and encouragement I have received throughout my journey.

Being inspired by the healthcare researchers and professionals and my background in engineering motivated me to pursue my career in Biomedical engineering to contribute to healthcare innovation. My PhD work focuses on the fundamentals of mechanobiology to understand cardiovascular health and disease conditions. Specifically, it focuses on the role of blood flow profiles in tuning the vascular function on cell level to better understand cardiovascular diseases.

Throughout my time in graduate school, I have been fortunate to work alongside my mentor Dr. Sangyoon Han, my committee and colleagues who played an important role in shaping my academic and professional development. The continued support from Biomedical engineering department, graduate school and HRI played a significant role in pursuit of my educational experience.

I extend my heartfelt appreciation to the selection committee for their confidence in my ability and for their investment in my future. Thank you for believing in me and for empowering me to pursue my dreams.