Sunia Tanweer Awarded the Frontera Computational Science Fellowship
MSU PhD candidate, Sunia Tanweer, has been awarded the prestigious NSF-funded Frontera Computational Science Fellowship. This fellowship is annually awarded to 3 to 5 advanced PhD students from all over the United States. The fellowship provides a year-long opportunity to collaborate with experts at Texas Advanced Computing Center (TACC), conduct research on Frontera the fastest supercomputer in the US, a stipend of $34000, tuition allowance and travel funding for visiting TACC and for presenting at professional meetings.
Sunia is a third year dual PhD candidate majoring in Mechanical Engineering and CMSE working in the Khasawneh Group. She is the first MSU student to win a Frontera fellowship and one of its first recipients from the State of Michigan since the inception of the fellowship in 2020. With Frontera's computational resources, Sunia plans to conduct large-scale simulations on finding bifurcation parameter regimes leading to stall flutter in stochastic airfoil models. Unintentional stalls in airplanes are deadly, resulting in fatalities almost 50% more often than non-stall accidents. Although pilots are taught to recognize, avoid, and recover from stalls early in-flight training, they still account for almost 25% of fatal accidents. Sunia's recent work allows data-driven detection of such phenomenon in real-time as well as through computational modelling in advance. This work is part of her broader doctoral thesis tentatively titled "Investigating Dynamical Systems with Stochastic Theory and Topological Data Analysis".
