# Saeed IslamAbdul Wali Khan University Mardan · mathematics

Saeed Islam

PhD

## About

494

Publications

108,490

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7,839

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Introduction

Additional affiliations

November 2020 - present

Education

September 2004 - January 2008

## Publications

Publications (494)

The purpose of this study is to evaluate the augmentation of thermal energy transfer in trihybrid Ellis nanofluid flow in the occurrence of magnetic dipole passes over a vertical surface. The ternary hybrid nanofluid is prepared by the dispersion of ternary nanoparticles (Al2O3, SiO2, and TiO2) in the Carreau Yasuda fluid. The velocity and heat tra...

Common conductive fluids include coolants (water and ethylene glycol [EG]), lubricants (oils), polymer solutions, paraffin, and biofluids. Compared with conventional fluids, the nanofluids have superior thermophysical properties like heat transmission, thermal conductivity, viscosity, and thermal diffusion. Such types of nanofluids have many biomed...

The objective of this research is to examine the two-dimensional flow of a non-Newtonian water-based hybrid nanofluid containing silver and alumina nanoparticles over a stretching surface with convective conditions. The flow is considered to be steady, laminar and incompressible. The mathematical modeling of the flow analysis is considered in the f...

In this paper, we studied unsteady MHD nanofluid squeezing flow between two parallel plates considering the effect of Joule heating and thermal radiation. The governing equations in the form of partial differential equations (PDEs) are transformed into a system of ordinary differential equations (ODEs) with the help of similarity transformation. Th...

Scientists and researchers have recently been very interested in copper nanoparticles due to their potential modern uses, such as high temperature superconductors, gas sensors, catalytic processes, and solar cells, as well as their usage in wound dressings and biocidal properties. Therefore, in this analysis, the authors have investigated the appli...

In this study, we used the newly established optimal approach, namely, optimal auxilary function method (OAFM) along with the Adams numerical solver technique in order to investigate the heat transfer between two permeable parallel plates of steady nanofluids (HTBTP-SNFs) through Brownian and thermophoretic consequences. The new scheme model (HTBTP...

On 19 September 2020, the Centers for Disease Control and Prevention (CDC) recommended that asymptomatic individuals, those who have close contact with infected person, be tested. Also, American society for biological clinical comments on testing of asymptomatic individuals. So, we proposed a new mathematical model for evaluating the population-lev...

In this study, a new modification of the newly developed semi-analytical method, optimal auxiliary function method (OAFM) is used for fractional-order KdVs equations. This method is called the fractional optimal auxiliary function method (FOAFM). The time fractional derivatives are treated with Caputo sense. A rapidly convergent series solution is...

Heat transfer phenomena are used in a variety of industries, including chemical devices, shipbuilding, power plants, electronic devices, and medicinal plants. Propylene glycol, engine oil, water, and ethylene glycol are common single-phase heat transfer liquids used in a variety of industries, including chemical process industries and thermal power...

The present works focus on the effects of electric and magnetic fields on the flow of micro-polar nano-fluid between two parallel plates with rotation under the impact of Hall current (EMMN-PPRH) has considered by using Artificial Neural Networks with the scheme of Levenberg-Marquardt backpropagation (ANN-SLMB). The nonlinear PDEs are transformed i...

The purpose of study is to present a new nanofluidic model and its solution that describes steady couple stress magnetic Casson nanofluid flow in the presence of Cattaneo-Christov heat flux (CMCN-CCHF) system past a shrinking plat via aesthetics stochastic computing procedure based on supervised learning Lavenberg-Marquard technique as a backpropag...

The non-Newtonian fluid flow plays an important role in industrial and manufacturing processes such as painting, printing, coating, and biomechanical. In the present paper, the steady two-dimensional MHD free convective flow of Casson fluid over a vertical surface is elucidated numerically with the impact of thermal radiation and chemical reaction...

The analysis of thin liquid film over a horizontal rotating disk has attained fabulous attention in the field of the coating industry. Therefore , the present study aims to communicate the nature of the thin-film flow of Maxwell magnetized nanomaterials over the surface of the rotating disk. The important aspects of nano liquid known as the Brownia...

This study describes a novel application of artificial intelligent-based computing paradigm via knacks of neural networks backpropagated through Levenberg–Marquardt scheme (NNs-BLMS) to investigate the mathematical model of Carreau nanofluid thin film flow over a stretching sheet under the magnetic field effect (CNTFFSSM). The system of PDEs of the...

In this paper, we formulate a new Zika virus model in light of both mosquito and human transmission along with the
human awareness in the host population. Initially, we assumed that the virus is transmitted to humans through a mosquito bite and
then transmits to his or her sexual partner. Further, we investigated the mathematical results and stabil...

This article presents the unsteady mixed convective flow of third-grade fluid flow comprising nanoparticles and gyrotactic microorganisms past a stretching sheet. The fluid flow is assumed to be laminar and incompressible. The fluid flow is considered to be highly magnetized by applying a strong magnetic field. Newtonian viscous dissipation, chemic...

In recent years Atangana and Baleanu proposed a new fractional derivative with non-singular and non-local kernel, this paper formulate a fragmentary request numerical TB model with Atangana-Baleanu derivative. We inquired the basic reproduction number and assessment of boundary dependent on genuine information of Khyber Pakhtunkhwa Pakistan, Initia...

In the present investigation, an integrated numerical computing through neural networks which are backpropagated with Levenberg-Marquard scheme (NN-BLMS) is designed for the study of thermal radiation and Hall effect on boundary layer flow over a non-isothermal stretching sheet (TRH-BLF-NSS) embedded with non-uniform heat source and fluidic-particl...

This study intends to elaborate the heat and mass transfer analysis of Prandtl nanofluid flow over a vertically heated curved surface together with MHD, thermal radiation, and chemical reaction effects. The boundary layer approximations developed the governing flow equations such as momentum, energy, and diffusion balance equations. The nonlinear s...

In this research work, an effective Levenberg–Marquardt algorithm-based artificial neural network (LMA-BANN) model is presented to find an accurate series solution for micropolar flow in a porous channel with mass injection (MPFPCMI). The LMA is one of the fastest backpropagation methods used for solving least-squares of nonlinear problems. We crea...

This research investigates the influence of the combined effect of the chemically reactive and thermal radiation on electrically conductive stagnation point flow of nanofluid flow in the presence of a stationary magnetic field. Furthermore, the effect of Newtonian heating, thermal dissipation, and activation energy are considered. The boundary laye...

The technique of Levenberg–Marquardt back propagation with neural networks (TLMB-NN) was used in this research article to investigate the heat transfer of Maxwell base fluid flow of nanomaterials (HTM-BFN) with MHD over vertical moving surfaces. In this study, the effects of thermal energy, concentration, and Brownian motion are also employed. More...

This research paper explores the implications of nonlinear Rosseland thermal radiation and temperature-dependent heat generation on non-Darcian steady MHD convective Casson nanofluid flows over a radially extended rotating disk. Besides, the significance of the activation energy is also taken into account in the present modeling during the chemical...

Bioconvection has recently been the subject of dispute in a number of biotechnological fields that depend on fluids and their physical properties. When mixed nanofluids are subjected to heat and mass transmission, the process of bioconvection occurs. This attempt conveys the theoretical analysis of two-dimensional electrically conducting and magnet...

In this article, an effective computing approach is presented by exploiting the power of Levenberg-Marquardt scheme (LMS) in a backpropagation learning task of artificial neural network (ANN). It is proposed for solving the magnetohydrodynamics (MHD) fractional flow of boundary layer over a porous stretching sheet (MHDFF BLPSS) problem. A dataset o...

The nanofluids can be used in the subsequent precise areas like chemical nanofluids, environmental nanofluids, heat transfer nanofluids, pharmaceutical nanofluids, drug delivery nanofluids, and process/extraction nanofluids. In short, the number of engineering and industrial applications of nanofluid technologies, as well as their emphasis on parti...

In this study, we have explored the stagnation point flow of magnetohydrodynamic Casson and Maxwell flows through an extending surface. Influences of various physical factors on the Casson and Maxwell flows are discussed in this article. Convergence analysis of the applied technique called HAM is shown in the figures. Comparison of the current anal...

In this study, we formulate a noninteger-order mathematical model via the Caputo operator for the transmission dynamics of the bacterial disease tuberculosis (TB) in Khyber Pakhtunkhwa (KP), Pakistan. The number of confirmed cases from 2002 to 2017 is considered as incidence data for the estimation of parameters or to parameterize the model and ana...

In the present study, we develop a fractional Zika virus model with mutation, which causes new birth problems in infected pregnant women and further spread in society. As a consequence , we apply this notion to the fractional dynamics of the Zika virus. We also use fractional derivatives to gain a better understanding of biological processes and th...

In this study, a new computing model by developing the strength of feed-forward neural networks with Levenberg-Marquardt Method (NN-BLMM) based backpropagation is used to find the solution of nonlinear system obtained from the governing equations of unsteady squeezing flow of Heat and Mass transfer behaviour between parallel plates. The governing p...

This study presents a novel application of soft-computing through intelligent, neural networks backpropagated by Levenberg–Marquardt scheme (NNs-BLMS) to solve the mathematical model of unsteady thin film flow of magnetized Maxwell fluid with thermo-diffusion effects and chemical reaction (TFFMFTDECR) over a horizontal rotating disk. The expression...

In this study, a new computing model is developed using the strength of feed-forward neural networks with the Levenberg–Marquardt scheme-based backpropagation technique (NN-BLMS). It is used to find a solution for the nonlinear system obtained from the governing equations of the magnetohydrodyanmic (MHD) boundary layer flow over a stretching sheet....

Hybrid nanofluid is an emerging field due to the rapid enhancement of heat transfer and stable nanoparticles in base fluid properties. A three dimensional hybrid nanofluid flow model is constructed over biaxial porous stretching/shrinking sheet with heat transfer, Radiative heat and mass flux (3D-HNF-RHF). Bayesian Regularization technique based on...

In this study, a new computing model is developed using the strength of feedforward neural networks with the Levenberg–Marquardt method- (NN-BLMM-) based backpropagation technique. It is used to find a solution for the nonlinear system obtained from the governing equations of Falkner–Skan with heat transfer (FSE-HT). Moreover, the partial different...

The study of fluid flow upon an exponentially stretching surface has significant importance due to its applications in technological phenomena at the industrial level. These applications include condensing process of fluid film, heat exchanger processes, extrusion of plastic sheet in aerodynamics, cooling process of metal sheet, and growth of cryst...

This study presents the magnetized and non-magnetized Casson fluid flow with gyrotactic
microorganisms over a stratified stretching cylinder. The mathematical modeling is presented in
the form of partial differential equations and then transformed into ordinary differential equations
(ODEs) utilizing suitable similarity transformations. The analyti...

We formulate a new mathematical model for better understanding of the dynamics of Hepatitis B
virus (HBV) with asymptomatic carriers and vaccination classes. Initially, we first formulate the
problem in integer order derivative and then apply the fractional operator to extend the model
due to advantages of the he fractional derivative. We carefully...

Asymptomatic carriers play an important role in modelling infectious diseases. Asymptomatic infected people have no symptoms but can infect other people and spread the disease among other people. The laboratory confirmed that asymptomatic hepatitis B may infect individuals and may generate other infected cases. Due to this significant role of asymp...

This research article deals with the nonlinear thermally radiated influences on non-Newtonian nanofluid considering Jeffrey fluid in a rotating system. The governing equations of the nanofluid have been transformed to a set of differential nonlinear equations, using suitable similarity variables. The Homotopy Analysis Method (HAM) and Runge–Kutta M...

This research work explores the thermal and mass transport phenomena for a time-dependent Maxwell fluid flow in the presence of Cattaneo-Christov concept. The Maxwell fluid flow is analyzed through a stretching cylinder and sheet. Brownian motion, non-uniform heat source/sink, thermophoresis, and variable thermal conductivity are operated in this s...

Hepatitis B is still a major issue in most countries of the world. Due to many death and infection cases, the disease becoming a life-threatening issue and needs proper attention for its eradication. The main aim of this study is to design a new mathematical model with an asymptomatic class based on clinical investigations to study its dynamics. Th...

The disease of citrus is Huanglongbing (HLB), a Chinese name meaning yellow shoot disease and in English-speaking countries referred as a citrus greening threatening the citrus industries worldwide. Citrus greening associated with 'Candidatus Liberibacter asiaticus' (CLas), is the most devastating disease spread through the infected citrus trees an...

The design of integrated numerical computing through back-propagated neural networks with Levenberg-Marquard system (BNN-LMS) is presented to explore the fluid mechanics problems governing the system of heat transfer between two porous parallel plates of steady nanofluids (HTPSNF) under the stimulus of thermophoretic and Brownian motion. By introdu...

In the presented research article, the intelligence based numerical computation of artificial neural network backpropagated with Levenberg-Marquardt algorithm has been developed to analyze the novel ferrofluid flow model in the presence of magnetic dipole. Heat transfer effects are also incorporated along the horizontal. The designed fluid flow mod...

The present communication owns to address the mathematical framework of two-dimensional electrically conductive and thermally radiative Jeffrey nanofluid flow by a curved surface. The interaction of a periodic magnetic field with the suspended nanoparticles and mixed convection are critically important due to its application in a broad spectrum. Bu...

In physical science, nonlinear singular Lane–Emden and pantograph delay differential equations (LE–PDDEs) have abundant applications and thus are of great interest for the researchers. The presented investigation is related to the development of a new application of intelligent computing for the solution of the LE–PDDEs-based system introduced rece...

The present communication particularizes nonlinear convective non-Newtonian stagnation point flow and heat transference effects in stretchable flow of nanofluid. Magnetohydromagnetic steady viscous flow of nanofluid is examined. Heat transfer attributes of nanofluids are addressed via a numerical algorithm. Conductivity and diffusivity characterist...

The current analysis deals with radiative aspects of magnetohydrodynamic boundary layer flow with heat mass transfer features on electrically conductive Williamson nanofluid by a stretching surface. The impact of variable thickness and thermal conductivity characteristics in view of melting heat flow are examined. The mathematical formulation of Wi...

The purpose of this research is to scrutinize thermally charged heated bi-phase nanofluid flow in elongated parallel slippery walls governed by an external pressure gradient. The couple stress flow of nanofluid is subject to suspension with nano-sized metallic particles. The interaction effects of a transverse magnetic field have been taken into ac...

Recently, the applications of artificial intelligence through soft computing and machine learning algorithms have become the focal point of researcher's consideration on account of their convenience for accurate modelling, ease in simulation and effective assessment. This article endorses soft computing based backpropagated neural networks (BNNs) w...

A mathematical model for the understanding of the transmission dynamics of Buruli ulcer in possum mammals is considered. This disease is known to be the neglected tropical disease and its spread can now be seen in Australia. The disease has been identified in some mammals including possum. The present work investigates a mathematical model on the p...