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Sasikala J

Sasikala J

Assistant Professor

About

I am an Assistant Professor in the School of Computer Science and Engineering at RV University, Bengaluru. My academic journey is marked by significant contributions to the Finite Element Method (FEM), particularly in developing higher order curved triangular elements. These elements have been proven to enhance the accuracy and efficiency of solving complex linear and nonlinear partial differential equations. I am currently nearing the completion of my Ph.D. at Amrita University, Bangalore, with research focusing on automating mesh generation for convex and concave domains using MATLAB. My teaching experience spans multiple institutions, where I have consistently delivered excellent results in subjects like Engineering Mathematics and Numerical Methods.

 Additionally, I have a strong record of academic achievements, including receiving Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF) from the National Board for Higher Mathematics (NBHM). I am also a Life member of ISTE. I participated in a short course on “Linear and Non-linear Finite Element Analysis with Programming” organized by the Department of Civil Engineering at BITS-Pilani, Hyderabad campus, in 2023, which further enhanced my expertise in FEM.

Mathematics is the language in which God has written the universe - by Galileo Galilei

On an Efficient Octic Order Sub-parametric Finite Element Method on Curved Domains This paper discusses the development and implementation of an octic order sub-parametric finite element method on curved domains. The methodology enhances the accuracy of FEM in curved geometries, making it highly effective in practical engineering problems. The paper was published in Computers & Mathematics with Applications (2023), highlighting its impact with a Q1 ranking and an impact factor of 3.218.
Efficient Finite Element Computation Using Sub-Parametric Transformation for Blood Flow Problem of Cubic Order Curved Triangular Element This research introduces a novel finite element computation approach using sub-parametric transformation specifically designed for blood flow problems. The cubic order curved triangular element developed in this work offers significant computational efficiency and accuracy. The work is accepted to publish in Engineering Computations (2024) and has an impact factor of 1.67.
Utilizing sub parametric transformation in finite element analysis for Darcy-Brinkman-Forchheimer flow with curved triangular element of higher order This research focuses on applying subparametric transformations in finite element analysis to model Darcy-Brinkman-Forchheimer flow using higher-order curved triangular elements. The approach aims to enhance the accuracy and efficiency of simulations involving complex fluid flow scenarios.

Development of higher-order curved triangular elements with subparametric transformations.

Application of FEM in solving complex linear and nonlinear PDEs in irregular domains.

Automation of 2D mesh generation for curved domains using MATLAB.

Simplification of FEM solutions using MATHEMATICA for both linear and nonlinear problems

Research Interests

Finite Element Method

Operation Research

Differential Equations

Junior Research Fellowship (JRF) – NBHM
Awarded for excellence in research from 2021 to 2023, with a stipend provided to support advanced studies in the Finite Element Method (FEM) in hemodynamics. Senior Research Fellowship (JRF) – NBHM

Best Paper Presentation
Awarded for continued research contributions in the Finite Element Method (FEM) in hemodynamics from 2023 to 2024, with a stipend provided to support ongoing research work.

Best Results Award
Awarded for the presentation on "The Comparison of Numerical and Coding Solution for Initial Value Problems" at an international conference in 2019.

Secured 100% Pass Percentage in the subjects – Engineering Mathematics-III and Basic Mathematics.

Sasikala J

Assistant Professor

School of Computer Science and Engineering

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