Nizhum Rahman
hysics Nonlinear, Statistical and Applied Physics Optics with Atomic, Molecular and Plasma Physics Surfaces and Interfaces, Chemistry Analytical Chemistry Chemistry (General), Energy and Power, Material Sciences, Mathematics and Decision Sciences Operations Research / Management Science Methods, Agriculture and Biological Sciences, Earth and Planetary Sciences Atmospheric Science, Environmental Science Nonlinear, Statistical and Applied Physics Optics with Atomic, Molecular and Plasma Physics Surfaces and Interfaces Analytical Chemistry Energy and Power Material Sciences Mathematics and Decision Sciences Operations Research / Management Science Methods Mathematical Biology Tumor Growth Nonlinear Partial Differential Equations Applied Mathematics Modeling and Simulation

Bio

Nizhum Rahman is a researcher in applied mathematics currently affiliated with Pabna University of Science & Technology, Daffodil International University, the University of Queensland, and the University of Michigan. He earned his BSc (Honours) and MSc in Mathematics from Pabna University of Science and Technology, and is a PhD Fellow at the University of Queensland's School of Mathematics and Physics. His published work includes an algorithm for numerical integration, differentiation, and root-finding. With 24 publications, 144 citations, an h-index of 6, and an i10-index of 4, his research contributes to numerical analysis and applied mathematics. He is a student member of ANZIAM and AMSI, and serves as a reviewer for academic journals.

Educational Journey

University of Queensland

PhD Fellow in School of Mathematics and Physics • School of Mathematics and Physics

2023

Pabna University of Science and Technology

MSc in Applied Mathematics in Mathematics • Mathematics

2015

Pabna University of Science and Technology

BSc Honours in Mathematics in Mathematics • Mathematics

2013

Experience

Pabna University of Science & Technology.

0 - 0

Queensland University of Technology

Casual Academic

2018 - Present • School of Mathematics and Physics

The University of Queensland

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Show all 5 experience

Editors Role

Reviewer

GJSFR

2014 -

Affiliations

Australia and New Zealand Industrial and Applied Mathematics

Student

Member since 2019

Australian Mathematical Sciences Institute

Student

Member since 2019

Research

An Algorithm for Integration, Differentiation and Finding Root Numerically

Article December 31, 2015

Numerical analysis concerns the development of algorithms for solving various types of problems of mathematics; it is a vast-ranging field having deep interaction with computer science, mathematics, engineering, and the sciences. Numerical analysis mainly consists of Numerical Integration, Numerical Differentiation and finding Roots numerically. In this paper we develop an algorithm combination of Numerical Integration (Trapezoidal rule, Simpson’s 𝟏𝟏/𝟑𝟑 rule, Simpson’s 𝟑𝟑/𝟖𝟖 rule and Weddle’s rule.), Numerical Differentiation (Euler, modified Euler and Runge- Kutta second and fourth order) and finding Roots (Bisection method and False position method) numerically.