Pressure separation–a technique for improving the velocity error in finite element discretisations of the Navier-Stokes equations. - Sashikumaar Ganesan; Volker John (Appl. Math. Comput., 2005)

Local projection stabilization of equal order interpolation applied to the Stokes problem. - Sashikumaar Ganesan; Gunar Matthies; Lutz Tobiska (Math. Comput., 2008)

A coupled arbitrary Lagrangian-Eulerian and Lagrangian method for computation of free surface flows with insoluble surfactants. - Sashikumaar Ganesan; Lutz Tobiska (J. Comput. Phys., 2009)

Stabilization by Local Projection for Convection-Diffusion and Incompressible Flow Problems. - Sashikumaar Ganesan; Lutz Tobiska (J. Sci. Comput., 2010)

Arbitrary Lagrangian-Eulerian finite-element method for computation of two-phase flows with soluble surfactants. - Sashikumaar Ganesan; Lutz Tobiska (J. Comput. Phys., 2012)

Operator-splitting finite element algorithms for computations of high-dimensional parabolic problems. - Sashikumaar Ganesan; Lutz Tobiska (Appl. Math. Comput., 2013)

On the Navier-Slip Boundary Condition for Computations of Impinging Droplets. - Jagannath Venkatesan; Sashikumaar Ganesan (HiPC Workshops, 2015)

A comparative study of a direct discretization and an operator-splitting solver for population balance systems. - Felix Anker; Sashikumaar Ganesan; Volker John; Ellen Schmeyer (Comput. Chem. Eng., 2015)

Simulations of impinging droplets with surfactant-dependent dynamic contact angle. - Sashikumaar Ganesan (J. Comput. Phys., 2015)

An Object Oriented Parallel Finite Element Scheme for Computations of PDEs: Design and Implementation. - Sashikumaar Ganesan; Volker John; Gunar Matthies; Raviteja Meesala; Shamim Abdus; Ulrich Wilbrandt (HiPC Workshops, 2016)

ALE-SUPG finite element method for convection-diffusion problems in time-dependent domains: Conservative form. - Sashikumaar Ganesan; Shweta Srivastava (Appl. Math. Comput., 2017)

Numerical simulation of nanocrystal synthesis in a microfluidic reactor. - Satish Kumar; Sashikumaar Ganesan (Comput. Chem. Eng., 2017)

Galerkin finite element method for cancer invasion mathematical model. - Sashikumaar Ganesan; Shangerganesh Lingeshwaran (Comput. Math. Appl., 2017)

ParMooN - A modernized program package based on mapped finite elements. - Ulrich Wilbrandt; Clemens Bartsch; Naveed Ahmed 004; Najib Alia; Felix Anker; Laura Blank; Alfonso Caiazzo; Sashikumaar Ganesan; Swetlana Giere; Gunar Matthies; Raviteja Meesala; Abdus Shamim; et al. (Comput. Math. Appl., 2017)

A biophysical model of tumor invasion. - Sashikumaar Ganesan; Shangerganesh Lingeshwaran (Commun. Nonlinear Sci. Numer. Simul., 2017)

How Deep Learning performs with Singularly Perturbed Problems? - Sangeeta Yadav; Sashikumaar Ganesan (AIKE, 2019)

Parallel Smoothers in Multigrid Method for Heterogeneous CPU-GPU Environment. - Neha Iyer; Sashikumaar Ganesan (PARCO, 2019)

SParSH-AMG: A library for hybrid CPU-GPU algebraic multigrid and preconditioned iterative methods. - Sashikumaar Ganesan; Manan Shah (CoRR, 2020)

Generalized local projection stabilized finite element method for advection-reaction problems. - Deepika Garg; Sashikumaar Ganesan (CoRR, 2020)

An overlapping local projection stabilization for Galerkin approximations of Darcy and Stokes problems. - Deepika Garg; Sashikumaar Ganesan (CoRR, 2020)

SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique. - Sangeeta Yadav; Sashikumaar Ganesan (ACML, 2021)

An a priori error analysis for a projection based variational multiscale finite element method for Oseen problems in a time-dependent domain. - Birupaksha Pal; Sashikumaar Ganesan (Comput. Math. Appl., 2021)

An Operator-Splitting Finite Element Method for the Numerical Solution of Radiative Transfer Equation. - Sashikumaar Ganesan; Maneesh Kumar Singh 003 (CoRR, 2021)

A Deep Learning Simulation Framework for Building Digital Twins of Wind Farms: Concepts and Roadmap. - Subodh M. Joshi; Thivin Anandh; Sashikumaar Ganesan (SIMULTECH, 2022)

Generalized local projection stabilized nonconforming finite element methods for Darcy equations. - Deepika Garg; Sashikumaar Ganesan (Numer. Algorithms, 2022)

An efficient hp-Variational PINNs framework for incompressible Navier-Stokes equations. - Thivin Anandh; Divij Ghose; Ankit Tyagi; Abhineet Gupta; Suranjan Sarkar; Sashikumaar Ganesan (CoRR, 2024)

Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated Problems. - Thivin Anandh; Divij Ghose; Himanshu Jain; Pratham Sunkad; Sashikumaar Ganesan; Volker John (CoRR, 2024)

FastVPINNs: An efficient tensor-based Python library for solving partial differential equations using hp-Variational Physics Informed Neural Networks. - Thivin Anandh; Divij Ghose; Sashikumaar Ganesan (J. Open Source Softw., 2024)

Artificial neural network-augmented stabilized finite element method. - Sangeeta Yadav; Sashikumaar Ganesan (J. Comput. Phys., 2024)

FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries. - Thivin Anandh; Divij Ghose; Himanshu Jain; Sashikumaar Ganesan (SIAM J. Sci. Comput., 2025)

Operator-splitting finite element method for solving the radiative transfer equation. - Sashikumaar Ganesan; Maneesh Kumar Singh 003 (Numer. Algorithms, 2025)