Parameshwaran Pasupathy
Parameshwaran Pasupathy is a PhD student at the Department of Mechanical and Aerospace Engineering. His dissertation is on the multi-scale computational modeling of brain tissue under dynamic loads, which is at the intersection of mechanobiology, computational solid mechanics, and interfacial mechanics. His interdisciplinary research on micro-scale modeling of white matter seeks to develop a fundamental understanding of brain injury and its relevance in detecting mTBI (mild-Traumatic Brain Injury), which is currently undetectable by standard diagnostic tools (such as MRI and DTI.). Paramesh has a Masters degree in Aerospace Engineering from the University of Michigan - Ann Arbor. Prior to beginning his PhD at Rutgers, Paramesh worked as an Senior Technical Engineer for Siemens PLM as a part of their HEEDS multi-disciplinary design optimization team.
Email: parameshwaran [dot] pasupathy [at] rutgers [dot] edu
Research Interests: Computational solid mechanics, Multi-scale modeling, PINN, User Material subroutines, Finite Element Method, Uncertainty quantification, High-Performance Computing (HPC)
Awards: 3rd Place at the Michigan Institute for Computational Discovery and Engineering (MICDE) annual symposium student poster competition - March, 2023. Link Poster
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