Ravi Kedarasetti, Ph.D.

Senior Researcher II

Years of Experience | 7

Education & Licenses:

Doctor of Philosophy, Engineering Science & Mechanics, 2020, The Pennsylvania State University, University Park, PA
– Thesis: Drivers of fluid and metabolite transport in the central nervous system
Bachelor of Technology, Mechanical Engineering, 2011, Indian Institute of Technology, Kanpur, India

Areas of Specialization:

Numerical/computational modeling (continuum mechanics, finite elements) of solid and fluid mechanics, poroelasticity, and mixture theory
Cloud-computing development operations
Machine learning, neutral networks, and image segmentation
Biological system modeling, data collection, and data analysis
COMSOL Multiphysics, Abaqus, Nx Nastran, Hypermesh, Adobe Illustrator, Autodesk Inventor, Creo
Fortran, Python, MATLAB, Mathematica

Overview:

Ravi is a Senior Researcher within the Equity Software.  He is a part of a team of researchers and software engineers developing our cloud-native computational platform, Equity Engineering Cloud (eec).  He has played a key role in developing level 3 FFS assessment tools in the eec for evaluating FFS assessment of local thin areas, dents, and tank settlement.  His other research interests include dispersion and consequence analysis and reduced-order modeling through Physics Informed Neural Networks.

Before joining Equity, Ravi served as a research associate at Pennsylvania State University (2015-2020), focusing on simulating cerebrospinal fluid flow in the brain using novel methods combining fluid-structure interaction, poroelastic models, and the finite element method.  He also developed image processing techniques to validate these models against data from live animals.  Previously, at Caterpillar Inc. (2011-2015), he leveraged his expertise in finite element analysis to design and analyze the strength and fatigue life of heavy machinery components, including welded and bolted joints crucial for mining and forestry equipment.

Publications:

Spring, D.W., Kedarasetti, R.T., Klemme, S., Brown, D.L., “Analysis of the Plausible Profiles (Psqr) Method,” Welding Research Council (WRC) Bulletin 613, 2024.

Kedarasetti, R., Spring, D.W., Osage, D.A., “Comparison of Methods for Evaluating Local Thin Areas in Cylinders Subject to Pressure, Moments and Forces,” Welding Research Council (WRC) Bulletin 593, 2022.

Kedarasetti, R., Drew, P. J., Costanzo, F, “Arterial vasodilation drives convective fluid flow in the brain: a poroelastic model,” accepted manuscript, Fluids and Barriers of the CNS, 2022.

Kedarasetti R., Spring D., Osage D., “Comparison of Methods for Evaluating Local Thin Areas in Cylinders Subject to Pressure, Moments and Forces,” Weld Research Committee (WRC) Bulletin 593, 2021.

Kedarasetti, R. T., Turner, K. L., Echagarruga, C., Gluckman, B. J., Drew, P. J., Costanzo, F., “Functional hyperemia drives fluid exchange in the paravascular space,” Fluids and Barriers of the CNS, 17(1), 1-25, 2020.

Haselden, W. D., Kedarasetti, R. T., & Drew, P. J., “Spatial and temporal patterns of nitric oxide diffusion and degradation drive emergent cerebrovascular dynamics, “PLoS computational biology, 16(7), e1008069, 2020.

Kedarasetti, R. T., Drew, P. J., Costanzo, F. “Arterial pulsations drive oscillatory flow of CSF but not directional pumping,” Scientific Reports, 10(1), 1-12, 2020.

Zhang, Q., Roche, M., Gheres, K. W., Chaigneau, E., Kedarasetti, R. T., Haselden, W. D., Charpak, S., Drew, P. J., “Cerebral oxygenation during locomotion is modulated by respiration,” Nature Communications, 10(1), 1-15, 2019.