Distributed physics informed neural network for data-efficient solution to partial differential equations. - Vikas Dwivedi; Nishant Parashar; Balaji Srinivasan (CoRR, 2019)

Physics Informed Extreme Learning Machine (PIELM)-A rapid method for the numerical solution of partial differential equations. - Vikas Dwivedi; Balaji Srinivasan (Neurocomputing, 2020)

Solution of Biharmonic Equation in Complicated Geometries With Physics Informed Extreme Learning Machine. - Vikas Dwivedi; Balaji Srinivasan (J. Comput. Inf. Sci. Eng., 2020)

Numerical Approximation in CFD Problems Using Physics Informed Machine Learning. - Siddharth Rout; Vikas Dwivedi; Balaji Srinivasan (CoRR, 2021)

Distributed learning machines for solving forward and inverse problems in partial differential equations. - Vikas Dwivedi; Nishant Parashar; Balaji Srinivasan (Neurocomputing, 2021)

One country's journey to interoperability: Tanzania's experience developing and implementing a national health information exchange. - Alpha Nsaghurwe; Vikas Dwivedi; Walter Ndesanjo; Haji Bamsi; Moses Busiga; Edwin Nyella; Japhet Victor Massawe; Dasha Smith; Kate Onyejekwe; Jonathan Metzger; Patricia Taylor (BMC Medical Informatics Decis. Mak., 2021)

A Normal Equation-Based Extreme Learning Machine for Solving Linear Partial Differential Equations. - Vikas Dwivedi; Balaji Srinivasan (J. Comput. Inf. Sci. Eng., 2022)

PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation. - Vikas Dwivedi; Balaji Srinivasan; Ganapathy Krishnamurthi (CoRR, 2023)

Global Versus Local: Evaluating AlexNet Architectures for Tropical Cyclone Intensity Estimation. - Vikas Dwivedi (ICPR (8), 2024)

Curriculum learning-driven PIELMs for fluid flow simulations. - Vikas Dwivedi; Bruno Sixou; Monica Sigovan (Neurocomputing, 2025)

Kernel-Adaptive PI-ELMs for Forward and Inverse Problems in PDEs with Sharp Gradients. - Vikas Dwivedi; Balaji Srinivasan; Monica Sigovan; Bruno Sixou (CoRR, 2025)