报告人：Vamsi Spandan, Dr. John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA
地点：工学院 1号楼 209会议室
A wide variety of multiphase and biophysical problems in nature and industry such as bubble/drop laden turbulence, blood flow, cardiovascular and respiratory flows etc. involves complex non-linear interactions between the fluid and an immersed interface/surface/structure. Studying such systems has been challenging both from an experimental and numerical point of view due to its multi-scale-multi-physics nature. In this talk, I will discuss how we use multi-scale numerical simulations to tackle a wide class of such problems to help us understand the underlying physics and also exploit it for application oriented computational design. In particular, I will focus on two paradigmatic systems: (i) Bubble/drop laden turbulent Taylor-Couette flows, where I will focus on the mechanisms of drag reduction (ii) Cardio-vascular flows, where we are interested in understanding the guiding design principles behind the functioning of the heart. In both systems, we have been able to exploit novel algorithms and computational architectures to understand the governing fluid-dynamical phenomena and its broad implications.
Vamsi Spandan is the George Carrier Fellow in Applied Mathematics at Harvard University. Previously, he received his Bachelor and Master degree from the Indian Institute of Technology, Madras in India and his PhD from the Physics of Fluids and Max-Planck Center for Complex Fluid Dynamics in Netherlands. Over the years, Vamsi has worked on projects spanning a wide range of disciplines, viz. Fluid Mechanics, Computational Physics, Biophysics, Reinforcement Learning in Physics and High-Performance Computing. He is broadly interested in Multi-physics systems, i.e. systems involving multiple simultaneously occurring physical processes using a theoretical and numerical approach while exploiting high performance computing. He is currently working on theoretical and computational problems in Biophysics and Neuroscience.