Bio-Sketch:

Dr. Sumita Dahiya is an Assistant professor at the Department of Mathematics, Netaji Subhas University of Technology, New Delhi. Dr. Sumita completed her doctoral thesis in 2016 from the Department of Mathematics, Indian Institute of Technology, Roorkee. Her research interest includes Computer aided geometric designing and development of novel numerical techniques based on collocation and differential quadrature methods for nonlinear partial differential equations. After her PhD, Dr  Dahiya had joined Dayalbagh University, Agra as an Assistant Professor. Prior to joining the NSUT, Dr Dahiya has worked with Technion, Israel Institute of Technology, Department of Computer Science as a postdoctoral fellow, in the field of computer aided geometric designing, from Nov 2020-Sep 2022.

Area of Interest: Numerical Solutions of PDEs, Computer Aided Geometric Designing

Best five Publications: 

i.   R. C. Mittal, Sumita Dahiya*, “Numerical Simulation on Hyperbolic Diffusion Equations using Modified Cubic B-spline Differential Quadrature Method” in “Computers & Mathematics with Applications”. Doi:https://doi.org/10.1016/j.camwa.2015.04.022.
ii.    R. C. Mittal, Sumita Dahiya*, “A study of Quintic B-spline based Differential Quadrature Method for a class of Semi-linear Fisher-Kolmogorov Equations” in “Alexandria Engineering Journal”. Doi:  https://doi.org 10.1016/j.aej.2016.06.019.
iii.    R. C. Mittal, Sumita Dahiya*, “A quintic b-spline based differential quadrature method for numerical solution of Kuramoto-Sivashinsky equation” in International Journal of Nonlinear Sciences and Numerical Simulation.  Doi: https://doi.org/10.1515/ijnsns-2015-0190.
iv.    R. C. Mittal, Sumita Dahiya*, Numerical simulation of three-dimensional telegraphic equation using cubic b-spline differential quadrature method in “Applied Mathematics and Computations”.  Doi:  https://doi.org/10.1016/j.amc.2017.06.015
v.    R. C. Mittal, Sumita Dahiya*, A study of modified cubic b-spline differential quadrature method for a class of nonlinear viscous wave equations in “Engineering Computations” (2018).  Doi:   https://doi.org/10.1108/EC-06-2016-0188.