4 citations · 8 across the 9 of their papers we have counts for
10 papers
Multiphase modelling of glioma pseudopalisading under acidosis
Pawan Kumar, Christina Surulescu, Anna Zhigun
We propose a multiphase modeling approach to describe glioma pseudopalisade patterning under the influence of acidosis. The phases considered at the model onset are glioma, normal…
A flux-limited model for glioma patterning with hypoxia-induced angiogenesis
Pawan Kumar, Christina Surulescu
We propose a model for glioma patterns in a microlocal tumor environment under the influence of acidity, angiogenesis, and tissue anisotropy. The bottom-up model deduction eventual…
Multiscale modeling of glioma pseudopalisades: contributions from the tumor microenvironment
Pawan Kumar, Jing Li, Christina Surulescu
Gliomas are primary brain tumors with a high invasive potential and infiltrative spread. Among them, glioblastoma multiforme (GBM) exhibits microvascular hyperplasia and pronounced…
Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS
Sahithi Rampalli, Natasha Sehgal, Ishita Bindlish +2
In this paper, we study FPGA based pipelined and superscalar design of two variants of conjugate gradient methods for solving Laplacian equation on a discrete grid; the first versi…
Preconditioners for Saddle Point Problems on Truncated Domains in Phase Separation Modelling
Pawan Kumar
The discretization of Cahn-Hilliard equation with obstacle potential leads to a block 2 by 2 non-linear system, where the p1, 1q block has a non-linear and non-smooth term. Recentl…
An Optimal Block Diagonal Preconditioner for Heterogeneous Saddle Point Problems in Phase Separation
Pawan Kumar
The phase separation processes are typically modeled by Cahn-Hilliard equations. This equation was originally introduced to model phase separation in binary alloys, where phase sta…