[기계시스템학부] 미국 Stanford University 기계공학부 서종민 박사님 특강

  • shpark21@sm.ac.kr
  • 02-2077-7862
  • 르네상스 406호
[기계시스템학부] 미국 Stanford University 기계공학부 서종민 박사님
세부내용

 


Invited Seminar

Department of Mechanical Systems Engineering

 

Personalized cardiovascular disease treatment via hemodynamics modeling and high performance computing 

날짜  201911월 13일 수요일

시각 12시 -13

장소 르네상스플라자 406

신청 Snoway 비교과 프로그램 (마일리지 2000)

대상  공개강의 (타과생 환영합니다)

연사  서종민 박사

약력  Present          Research Engineer, Mechanical Engineering, Pediatrics & ICME, Stanford University

           2016              PhD in Mechanical Engineering, Stanford University

           2012              MS in Mechanical Engineering, Stanford University

2010              BS in Mechanical Engineering, Seoul National University

 

Cardiovascular disease (CVD) is the leading cause of death worldwide and imposes tremendous economic burden: the annual direct and indirect cost of CVD and strokes was estimated $329.7 billion in 2015, and the projected total cost by 2035 exceeds $1 trillion in the United States. Therefore, advancing diagnostics and treatment of CVD is of paramount importance and is an active research area. To tackle cardiovascular disease, multi- disciplinary approaches are currently employed to bring innovations to clinical practice, translationally applying findings in basic science and the state-of-the-art engineering tools. In this context, cardiovascular simulations are increasingly applied to provide quantitative evaluation of unmeasurable biomarkers in vivo, systematic analysis of disease progression, prediction of surgery outcomes, non-invasive diagnostics and risk assessment of CVD. This talk first introduces how fluid mechanics principles and simulation tools are applied in the engineering industry. Then I will provide a general overview of cardiovascular simulation, introducing how fluid mechanics and high-performance computing technology are applied in medicine. I will explain the patient-specific simulation pipeline that includes vessel segmentation from image data, lofting the segmentations into a three dimensional anatomic model, assignment of physiologic boundary conditions and solution the governing equations for blood flows. Next, I will introduce an uncertainty quantification framework, a statistical approach used to assess the reliability of the simulation prediction. This talk then focuses on how simulation tools can be used to assess of surgical techniques in the heart surgery. Throughout the talk, I will talk about how multidisciplinary collaborative approaches are used to lead innovation in engineering and medicine.

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