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Sathish Kumar Marimuthu is a Postdoctoral Research Associate at the University of Glasgow, contributing to the James Watt School of Engineering. His research is centered on using computational modeling to assist cardiovascular neurosurgical planning, with goals to predict surgical outcomes and improve patient survivability. Currently, he focuses on modeling in-stent restenosis, employing advanced techniques such as growth and remodeling theories, fluid-structure interaction, and damage mechanics to analyze neo-intimal growth. He holds a PhD from the University of Glasgow, where he optimized stent grafts for treating aortic aneurysms, focusing on minimizing post-surgical complications through advanced computational methods. Internationally recognized for his work, Sathish has collaborated with leading surgeons and institutions to develop tools aiding in surgical planning and validation. His initiatives have been pivotal in improving treatment outcomes for pediatric patients. In addition to his research, Sathish has served as a teaching assistant, guiding students in solid mechanics and finite element analysis, further solidifying his expertise in the field.
University of Glasgow • Glasgow, United Kingdom
Working on cardiovascular neurosurgical planning, focusing on computational modeling and surgical outcome predictions.
University of Glasgow • Glasgow, United Kingdom
Focused on developing computational tools to assist surgical pre-planning in collaboration with Terumo Aortic.