Leonardo da Vinci wrote in the Notebooks that “Instrumental or mechanical science is of all the noblest and the most useful, seeing that by means of this all animated bodies that have movement perform all their actions”. Although overstated, the assertion underlines how mechanics plays an important role in governing biological and physical phenomena. Building on this idea, mechanics also governs the motion of blood, determining how it flows in the cardiovascular system and interacts with cells and physical devices. With continued advances in computational science and engineering, mathematics, increasing computing power and availability of storage, researchers have now remarkable computational and design tools at their disposal to address complex problems related to blood flow motion.
As the expertise required in this field ranges from biomedical engineering, mathematics, physics, computer and software engineering, the course will be of primary interest to doctoral students enrolled in the program of “Bioengineering and medical-surgical sciences”. The course will provide an in-depth understanding of the fundamentals of fluid mechanics, and enable them to place that understanding within a biological context. Based on the widespread recognition that mathematical modelling and numerical simulations can aid to better understand physical, physiological and pathological processes, the course will offer a foundation for the development of mathematical blood flow models and numerical simulation codes. Practical applications, clinical correlations, and worked examples will provide real-world scenarios to help students understand key theoretical topics. Moreover, research into the application of artificial intelligence methods to this field is very active. Technological and theoretical aspects related to the application of artificial intelligence methods to facilitate and expedite the study of blood flow dynamics will be presented. Lastly, recent advances in data visualization (and sonification) will be presented as useful tools for inspecting and characterizing data from high-fidelity computational simulations of blood flow dynamics, intuitively communicating flow complexity, and increasing the ease of interpretation of dense spatiotemporal data.
Leonardo da Vinci wrote in the Notebooks that “Instrumental or mechanical science is of all the noblest and the most useful, seeing that by means of this all animated bodies that have movement perform all their actions”. Although overstated, the assertion underlines how mechanics plays an important role in governing biological and physical phenomena. Building on this idea, mechanics also governs the motion of blood, determining how it flows in the cardiovascular system and interacts with cells and physical devices. With continued advances in computational science and engineering, mathematics, increasing computing power and availability of storage, researchers have now remarkable computational and design tools at their disposal to address complex problems related to blood flow motion.
As the expertise required in this field ranges from biomedical engineering, mathematics, physics, computer and software engineering, the course will be of primary interest to doctoral students enrolled in the program of “Bioengineering and medical-surgical sciences”. The course will provide an in-depth understanding of the fundamentals of fluid mechanics, and enable them to place that understanding within a biological context. Based on the widespread recognition that mathematical modelling and numerical simulations can aid to better understand physical, physiological and pathological processes, the course will offer a foundation for the development of mathematical blood flow models and numerical simulation codes. Practical applications, clinical correlations, and worked examples will provide real-world scenarios to help students understand key theoretical topics. Moreover, research into the application of artificial intelligence methods to this field is very active. Technological and theoretical aspects related to the application of artificial intelligence methods to facilitate and expedite the study of blood flow dynamics will be presented. Lastly, recent advances in data visualization (and sonification) will be presented as useful tools for inspecting and characterizing data from high-fidelity computational simulations of blood flow dynamics, intuitively communicating flow complexity, and increasing the ease of interpretation of dense spatiotemporal data.
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The course will provide an in-depth understanding of the fundamentals of fluid mechanics, and enable them to place that understanding within a biological context.
Guest lecturer:
- David A. Steinman (Full Professor, Mechanical & Industrial Engineering at University of Toronto): David A. Steinman is a Full Professor in the Department of Mechanical and Industrial Engineering at the University of Toronto, where he has been since 2008. He is also a core faculty member at the Institute of Biomaterials and Biomedical Engineering (IBBME) at the University of Toronto. Prior to his appointment at the University of Toronto, Steinman was an Associate Professor at the University of Western Ontario (UWO), where he held roles in both the Department of Diagnostic Radiology & Nuclear Medicine and the Department of Medical Biophysics from 2001 to 2005. He also served as a Scientist at Robarts Research Institute and Lawson Health Research Institute in London, Ontario. Steinman holds a Ph.D. in Mechanical Engineering from the University of Toronto, where his research focused on fluid dynamics in medical contexts, particularly modeling blood flow in vascular systems. He also completed a Postdoctoral Fellowship at the University of Western Ontario, working on magnetic resonance imaging (MRI) of blood flow.
His research interests lie at the intersection of medical imaging and computational modeling, with a focus on understanding hemodynamic forces in cardiovascular diseases. His work involves both image-based modeling, which uses medical imaging data to create patient-specific computational fluid dynamics (CFD) models, and virtual imaging, which simulates the impact of anatomy, flow, and motion on medical images. Steinman has received numerous accolades for his research, including the Mid-Career Investigator Award from the Heart & Stroke Foundation of Ontario and several career investigator awards. He is also a Fellow of the American Society of Mechanical Engineers (ASME). Throughout his career, he has been deeply involved in academic service, serving on editorial boards for numerous journals, and has organized and chaired several international conferences related to biomechanics and medical imaging.
The course will provide an in-depth understanding of the fundamentals of fluid mechanics, and enable them to place that understanding within a biological context.
Guest lecturer:
- David A. Steinman (Full Professor, Mechanical & Industrial Engineering at University of Toronto): David A. Steinman is a Full Professor in the Department of Mechanical and Industrial Engineering at the University of Toronto, where he has been since 2008. He is also a core faculty member at the Institute of Biomaterials and Biomedical Engineering (IBBME) at the University of Toronto. Prior to his appointment at the University of Toronto, Steinman was an Associate Professor at the University of Western Ontario (UWO), where he held roles in both the Department of Diagnostic Radiology & Nuclear Medicine and the Department of Medical Biophysics from 2001 to 2005. He also served as a Scientist at Robarts Research Institute and Lawson Health Research Institute in London, Ontario. Steinman holds a Ph.D. in Mechanical Engineering from the University of Toronto, where his research focused on fluid dynamics in medical contexts, particularly modeling blood flow in vascular systems. He also completed a Postdoctoral Fellowship at the University of Western Ontario, working on magnetic resonance imaging (MRI) of blood flow.
His research interests lie at the intersection of medical imaging and computational modeling, with a focus on understanding hemodynamic forces in cardiovascular diseases. His work involves both image-based modeling, which uses medical imaging data to create patient-specific computational fluid dynamics (CFD) models, and virtual imaging, which simulates the impact of anatomy, flow, and motion on medical images. Steinman has received numerous accolades for his research, including the Mid-Career Investigator Award from the Heart & Stroke Foundation of Ontario and several career investigator awards. He is also a Fellow of the American Society of Mechanical Engineers (ASME). Throughout his career, he has been deeply involved in academic service, serving on editorial boards for numerous journals, and has organized and chaired several international conferences related to biomechanics and medical imaging.