NAVEED KHAN
@cityuniversity.edu.pk
Mathematics
City University of Science and Information Technology, Peshawar, Pakistan
Naved Khan is pursuing an MS degree in applied mathematics from the Department of Mathematics at the City University of Science and Information Technology in Peshawar, Pakistan. His areas of interest are mathematical epidemiology, chaos theory, dynamical systems, chemical kinetics, reaction dynamics, fluid dynamics, love affair models, fractional and fractal derivatives, and numerical, analytical, and exact solutions.
EDUCATION
Master Of Mathematics
RESEARCH INTERESTS
mathematical epidemiology, chaos theory, dynamical systems, chemical kinetics, reaction dynamics, fluid dynamics, love affair models, fractional and fractal derivatives, and numerical, analytical, and exact solutions.
Scopus Publications
Scopus Publications
Saima Riasat, S. Bilal, Sultan Alshehery, Naveed Khan, Mohamed R. Ali, and Ahmed S. Hendy
Elsevier BV
Saima Riasat, Syeda Amna Huda Naqvi, Naveed Khan, Zubair Ahmad, Taseer Muhammad, Maher Alwuthaynani, Mouloud Aoudia, and Lioua Kolsi
Springer Science and Business Media LLC
Kamil Shah, Liu Wenqi, Aeshah A. Raezah, Naveed Khan, Sami Ullah Khan, Muhammad Ozair, and Zubair Ahmad
Elsevier BV
Newton I. Okposo, K. Raghavendar, Naveed Khan, J. F. Gómez-Agullar, and Abel M. Jonathan
Springer Science and Business Media LLC
Abdul Hamid Ganie, Fahad Aljuaydi, Zubair Ahmad, Ebenezer Bonyah, Naveed Khan, N. S. Alharthi, Saqib Murtaza, and Mashael M. AlBaidani
AIP Publishing
The use of fractal–fractional derivatives has attracted considerable interest in the analysis of chaotic and nonlinear systems as they provide a unique capability to represent complex dynamics that cannot be fully described by integer-order derivatives. The fractal–fractional derivative with a power law kernel is used in this paper as an analytical tool to analyze the dynamics of a chaotic integrated circuit. Using coupled ordinary differential equations of classical order, the complexity of an integrated circuit is modeled. The classical order model is generalized via fractal–fractional derivatives of the power law kernel. Moreover, this paper is concerned with investigating the Ulam stability of the model and conducting theoretical studies in order to analyze equilibrium points, identify unique solutions, and verify the existence of such solutions. By examining the complex dynamics that result in chaotic behavior, these investigations shed light on the fundamental properties of integrated circuits. For the purpose of exploring the non-linear fractal–fractional order system, a numerical algorithm has been developed to facilitate our analysis. MATLAB software has been used to implement this algorithm, making it possible to carry out detailed simulations. Simulating solutions are accomplished using 2D and 3D portraits, which provide visual and graphical representations of the results. Throughout the simulation phase, particular attention is given to the impact of fractional order parameter and fractal dimension. As a result of this study, we have gained a comprehensive understanding of the behavior of the system and its response to variations in values.
Faiza Hasin, Zubair Ahmad, Farhad Ali, Naveed Khan, Ilyas Khan, and Sayed M. Eldin
Springer Science and Business Media LLC
AbstractBetter electrical insulation and thermal properties of vegetable oil with nanoparticles are crucial for its uses as a replacement for conventional previous lubricants used in heavy and light industries for cutting and machining. In this study, a magnetohydrodynamic (MHD) flow of a Brinkman-type nanofluid is used to investigate an infinite vertical plate with chemical reaction, heat radiation, and MHD flow. In order to improve the machining and cutting powers of regular vegetable oil, four distinct types of nanoparticles were selected to be the base fluid. The problem is modeled by coupled system partial differential equations (PDEs), and the results are generalized by the Caputo-Fabrizio fractional differential operator for the exponential non-singular kernel. In order to prepare nanofluids, four different types of nanoparticles, namely graphene oxide (GO), molybdenum disulfide (MoS2), titanium dioxide (TiO2), and aluminum oxide (Al2O3) are suspended separately in vegetable oil. The results of skin friction, the Nusselt number, and the Sherwood number are computed in various tables. It is found that GO nanoparticles, (followed by MoS2, TiO2, and Al2O3) are the materials that can heat transfer at the maximum rate. The heat transfer rate for GO is found to be the greatest with an enhancement up to 19.83% when 4% of nanoparticles are dispersed, followed by molybdenum disulfide at 16.96%, titanium dioxide at 16.25%, and alumina at 15.80%.
Naveed Khan, Zubair Ahmad, Jamal Shah, Saqib Murtaza, M. Daher Albalwi, Hijaz Ahmad, Jamel Baili, and Shao-Wen Yao
Springer Science and Business Media LLC
AbstractIn this paper, the newly developed Fractal-Fractional derivative with power law kernel is used to analyse the dynamics of chaotic system based on a circuit design. The problem is modelled in terms of classical order nonlinear, coupled ordinary differential equations which is then generalized through Fractal-Fractional derivative with power law kernel. Furthermore, several theoretical analyses such as model equilibria, existence, uniqueness, and Ulam stability of the system have been calculated. The highly non-linear fractal-fractional order system is then analyzed through a numerical technique using the MATLAB software. The graphical solutions are portrayed in two dimensional graphs and three dimensional phase portraits and explained in detail in the discussion section while some concluding remarks have been drawn from the current study. It is worth noting that fractal-fractional differential operators can fastly converge the dynamics of chaotic system to its static equilibrium by adjusting the fractal and fractional parameters.
Naveed Khan, Farhad Ali, Zubair Ahmad, Saqib Murtaza, Abdul Hamid Ganie, Ilyas Khan, and Sayed M. Eldin
Springer Science and Business Media LLC
AbstractSeveral scientists are interested in recent developments in nanotechnology and nanoscience. Grease is an essential component of many machines and engines because it helps keep them cool by reducing friction between their various elements. In sealed life applications including centralized lubrication systems, electrical motors, bearings, logging and mining machinery, truck wheel hubs, construction, landscaping, and gearboxes, greases are also utilized. Nanoparticles are added to convectional grease to improve its cooling and lubricating properties. More specifically, the current study goal is to investigate open channel flow while taking grease into account as a Maxwell fluid with MoS2 nanoparticles suspended in it. The Caputo-Fabrizio time-fractional derivative is used to convert the issue from a linked classical order PDE to a local fractional model. To determine the precise solutions for the velocity, temperature, and concentration distributions, two integral transform techniques the finite Fourier sine and the Laplace transform technique are jointly utilized. The resultant answers are physically explored and displayed using various graphs. It is important to note that the fractional model, which offers a variety of integral curves, more accurately depicts the flow behavior than the classical model. Skin friction, the Nusselt number, and the Sherwood number are engineering-related numbers that are quantitatively determined and displayed in tabular form. It is determined that adding MoS2 nanoparticles to grease causes a 19.1146% increase in heat transmission and a 2.5122% decrease in mass transfer. The results obtained in this work are compared with published literature for the accuracy purpose.
Maryam Khan, Zubair Ahmad, Farhad Ali, Naveed Khan, Ilyas Khan, and Kottakkaran Sooppy Nisar
Public Library of Science (PLoS)
Chemical kinetics is a branch of chemistry that is founded on understanding chemical reaction rates. Chemical kinetics relates many aspects of cosmology, geology, and even in some cases of, psychology. There is a need for mathematical modelling of these chemical reactions. Therefore, the present research is based on chemical kinetics-based modelling and dynamics of enzyme processes. This research looks at the two-step substrate-enzyme reversible response. In the two step-reversible reactions, substrate combines with enzymes which is further converted into products with two steps. The model is displayed through the flow chart, which is then transformed into ODEs. The Atangana-Baleanu time-fractional operator and the Mittag-Leffler kernel are used to convert the original set of highly nonlinear coupled integer order ordinary differential equations into a fractional-order model. Additionally, it is shown that the solution to the investigated fractional model is unique, limited, and may be represented by its response velocity. A numerical scheme, also known as the Atangana-Toufik method, based on Newton polynomial interpolation technique via MATLAB software, is adopted to find the graphical results. The dynamics of reaction against different reaction rates are presented through various figures. It is observed that the forward reaction rates increase the reaction speed while backward reaction rates reduce it.
Saqib Murtaza, Poom Kumam, Attapol Kaewkhao, Naveed Khan, and Zubair Ahmad
Springer Science and Business Media LLC
AbstractNumerical simulations of non-linear Casson nanofluid flow were carried out in a microchannel using the fractal-fractional flow model. The nano-liquid is prepared by dispersing Cadmium Telluride nanoparticles in common engine oil. Using relative constitutive equations, the system of mathematical governing equations has been formulated along with initial and boundary conditions. Dimensionless variables have been used to obtain the non-dimensional form of the governing equations. The fractal-fractional model has been obtained by employing the fractal-fractional operator of the exponential kernel. As the exact solution of the non-linear fractal-fractional model is very tough to find, therefore the formulated model has been solved numerically via the Crank-Nicolson scheme. Various plots are generated for the inserted parameters. From the analysis, it has been observed that a greater magnitude of the electro-kinetic parameter slows down the fluid's velocity. It is also worth noting that the fractional and classical models can also be derived from the fractal-fractional model by taking the parameters tend to zero. From the analysis, it is also observed that in response to 0.04 volume fraction of cadmium telluride nanoparticles, the rate of heat transfer (Nusselt number) and rate of mass transfer (Sherwood number) increased by 15.27% and 2.07% respectively.
Jamal Shah, Farhad Ali, Naveed Khan, Zubair Ahmad, Saqib Murtaza, Ilyas Khan, and Omar Mahmoud
Springer Science and Business Media LLC
AbstractGold nanoparticles are commonly used as a tracer in laboratories. They are biocompatible and can transport heat energy to tumor cells via a variety of clinical techniques. As cancer cells are tiny, properly sized nanoparticles were introduced into the circulation for invasion. As a result, gold nanoparticles are highly effective. Therefore, the current research investigates the magnetohydrodynamic free convection flow of Casson nanofluid in an inclined channel. The blood is considered as a base fluid, and gold nanoparticles are assumed to be uniformly dispersed in it. The above flow regime is formulated in terms of partial differential equations. The system of derived equations with imposed boundary conditions is non-dimensionalized using appropriate dimensionless variables. Fourier's and Fick's laws are used to fractionalize the classical dimensionless model. The Laplace and Fourier sine transformations with a new transformation are used for the closed-form solutions of the considered problem. Finally, the results are expressed in terms of a specific function known as the Mittag-Leffler function. Various figures and tables present the effect of various physical parameters on the achieved results. Graphical results conclude that the fractional Casson fluid model described a more realistic aspect of the fluid velocity profile, temperature, and concentration profile than the classical Casson fluid model. The heat transfer rate and Sherwood number are calculated and presented in tabular form. It is worth noting that increasing the volume percentage of gold nanoparticles from 0 to 0.04 percent resulted in an increase of up to 3.825% in the heat transfer rate.
Hameed Khan, Farhad Ali, Naveed Khan, Ilyas Khan, and Abdullah Mohamed
Frontiers Media SA
The present study aims to investigate the Casson nanofluids flow theoretically over a vertical Riga plate. The temperature and concentration with ramped and isothermal wall conditions are considered. Moreover, the fluid is considered electrically conducted. Concrete is considered as a base fluid while clay nanoparticles are added to it. The present flow regime is formulated in terms of a system of partial differential equations. Using dimensionless variables, the system of equations with the imposed boundary conditions is non-dimensionalized. The Laplace transform technique is used to calculate the exact solutions for the temperature, concentration, and velocity distributions. The effect of various embedded parameters on the velocity, temperature, and concentration fields are shown graphically and discussed physically. The variation in the skin friction for various values of clay nanoparticles volume fraction is shown in tabular form. The results indicate that adding 4% clay nanoparticles, enhanced the skin friction up to 7.04% in instance of ramped wall temperature (RWT) and 11.13% in isothermal wall temperature (IWT). This result is worth noting because the increase in skin friction causes rapid compaction of the cementitious materials and improves the tensile strength of the concrete.
ZUBAIR AHMAD, FARHAD ALI, MUQRIN A. ALMUQRIN, SAQIB MURTAZA, FAIZA HASIN, NAVEED KHAN, ATA UR RAHMAN, and ILYAS KHAN
World Scientific Pub Co Pte Ltd
Love is said to be pure, terrible, sweet, and horrible all at the same time. Love is, in fact, a basic requirement in everyone’s life. To live a normal and healthy life, everyone requires love. Love encompasses a wide range of emotions, sentiments, and attitudes. For some, love entails more than a physical attraction; it also includes an emotional bond. However, it is commonly believed that “Mathematics is the language in which God has written the universe”, as evidenced by the transformation of every phenomenon into mathematical equations. On this basis, this study aims to express the feelings among Romeo and Juliet via mathematical tools. The love among Romeo and Juliet is shown as a coupled system of ODEs. The fractal fractional differential operator with the Mittag-Leffler function further generalizes the classical differential equations. Some theoretical analysis has been done for the considered problem. The graphical solution is obtained through a numerical scheme with the help of MATLAB software. The impact of the fractional-order parameter and fractal dimension parameter is shown on the feelings of both individuals. Furthermore, the impact of various physical parameters on the love or hate of Romeo and Juliet is displayed and discussed in detail. As a concern to the most sensitive parameter, it is observed that spending or saving money among both individuals has the ability to tend love into hate and vice versa.
Naveed Khan, Zubair Ahmad, Hijaz Ahmad, Fairouz Tchier, Xiao-Zhong Zhang, and Saqib Murtaza
AIP Publishing
In this paper, the newly developed fractal-fractional differential and integral operators are used to analyze the dynamics of chaotic system based on image encryption. The problem is modeled in terms of classical order nonlinear, coupled ordinary differential equations that are then generalized through fractal-fractional differential operator of Mittag-Leffler kernel. In addition to that, some theoretical analyses, such as model equilibria, existence, and uniqueness of the solutions, have been proved. Furthermore, the highly non-linear problem is solved by adopting a numerical scheme through MATLAB software. The graphical solution is portrayed through 2D and 3D portraits. Some interesting results are concluded considering the variation of fractional-order parameter and fractal dimension parameter.
Faiza Hasin, Zubair Ahmad, Farhad Ali, Naveed Khan, and Ilyas Khan
SAGE Publications
Nanofluid is an innovative heat transfer fluid with the potential to significantly enhance the heat transfer performance of traditional fluids. By adding various types of nanoparticles to ordinary base fluids, several attempts have been made to boost the rate of heat transfer and thermal conductivity. The unsteady electrically conducting flow of Brinkman-type nanofluid over an infinite vertical plate with ramping wall temperature and concentration is investigated in this article. Water is taken as the base fluid, and multi-walled carbon nanotubes are distributed equally throughout it. The Caputo-Fabrizio fractional derivative, which has a non-singular kernel, is used to generalize the classical model. The Laplace transform technique has been utilized to achieve exact solutions. Furthermore, various graphs for fractional and physical parameters are used to represent the solutions. All figures are drawn for both conditions, that is, ramped and isothermal wall temperature and concentration. The velocity field increases for greater values of thermal and mass Grashof numbers while the reverse effect is observed for Hartman number, Brinkman parameter and volume fraction. Moreover, the obtained results are also reduced to the already published results in order to show the validation of the present results. The results are used to calculate the skin friction, Nusselt number, and Sherwood number. The heat transfer of pure water is increased by 17.03% when 4% of nanoparticles are added to it which will of course increase the efficiency of solar collectors and solar pools. Moreover, the mass transfer decreases by 3.18% when 4% of nanoparticles which are dispersed in it.
ZUBAIR AHMAD, FARHAD ALI, AISHA M. ALQAHTANI, NAVEED KHAN, and ILYAS KHAN
World Scientific Pub Co Pte Ltd
Chemical processes are constantly occurring in all existing creatures, and most of them contain proteins that are enzymes and perform as catalysts. To understand the dynamics of such phenomena, mathematical modeling is a powerful tool of study. This study is carried out for the dynamics of cooperative phenomenon based on chemical kinetics. Observations indicate that fractional models are more practical to describe complex systems’ dynamics, such as recording the memory in partial and full domains of particular operations. Therefore, this model is modeled in terms of classical-order-coupled nonlinear ODEs. Then the classical model is generalized with two different fractional operators of Caputo and Atangana–Baleanu in a Caputo sense. Some fundamental theoretical analysis for both the fractional models is also made. Reaction speeds for the extreme cases of positive/negative and no cooperation are also calculated. The graphical solutions are achieved via numerical schemes, and the simulations for both the models are carried out through the computational software MATLAB. It is observed that both the fractional models of Caputo and Atangana–Baleanu give identical results for integer order, i.e. [Formula: see text]. By decreasing the fractional parameters, the concentration profile of the substrate [Formula: see text] takes more time to vanish. Moreover, binding of first substrate increases the reaction rate at another binding site in the case of extreme positive cooperation, while the opposite effect is noticed for the case of negative cooperativity. Furthermore, the effects of other parameters on concentration profiles of different species are shown graphically and discussed physically.
Farhad Ali, Fazli Haq, Naveed Khan, Anees Imtiaz, and Ilyas Khan
Informa UK Limited
Farhad Ali, Fazli Haq, Naveed Khan, Hessah Alqahtani, Anees Imtiaz, and Ilyas Khan
The Korean Magnetics Society
This paper examines the magneto hydrodynamic two-phase blood (Casson fluid) flow in a vessel with heat conduction between blood and particles. The temperature of both phases is also considered. The model for the flow under consideration is formulated in terms of partial differential equations. Then the classical model is generalized by utilizing the Caputo fractional order derivative. The generalized equations are then non-dimensional-ized by using appropriate dimensionless variables. The exact dimensionless solutions are obtained via the joint application of Laplace & Hankel integral transforms. The influence of various embedded parameters on both the velocities (blood and magnetic particles) and the temperature distribution are presented graphically. It is worth noting that the particle and blood velocities decrease for increasing the values of magnetic parameter ( H ) which is useful to control the blood flow during magnetic therapy (for treating pain, such as the back, foot, or joint pain) and surgeries. It is worth noting that fractional model better describes the flow behavior than classical model by providing virous integral curves as shown in Fig.
Zubair Ahmad, Farhad Ali, Naveed Khan, and Ilyas Khan
Elsevier BV
Naveed Khan, Farhad Ali, Muhammad Arif, Zubair Ahmad, Aamina Aamina, and Ilyas Khan
Hindawi Limited
The aim of this study is to investigate how heat and mass transfer impacts the unsteady incompressible flow of Maxwell fluid. An infinite vertical plate with ramped and isothermal wall temperature and concentration boundary conditions is considered with the Maxwell fluid. Furthermore, in this study, engine oil has been taken as a base fluid due to its enormous applications in modern science and technologies. To see the importance of nanofluids, we have suspended molybdenum disulfide in engine oil base fluid to enhance its heat transfer rate. To investigate the flow regime, the system of equations was derived in the form of partial differential equations. The exact solutions to the complex system are obtained using the Laplace transform technique. Graphically, the impact of different embedded parameters on velocity, temperature, and concentration distributions has been shown. Through using the graphical analysis, we were interested in comparing the velocity, temperature, and concentration profiles for ramped and isothermal wall temperature and concentration. The magnitude of velocity, temperature, and concentration distributions is greater for an isothermal wall and less for a ramped wall, according to our observations. We observed that adding molybdenum disulfide nanoparticles to the engine oil increased the heat transfer up to 12.899%. Finally, the corresponding skin friction, Nusselt number, and Sherwood number have been calculated and presented in a tabular form.