Ahmad Mohammad Qazza
@zu.edu.jo
Department of Mathematics
Zarqa University
EDUCATION
• Ph.D, Year 2000, Faculty of Mechanics and Mathematics, Department of Differential Equation, Kazan State University, Russia.
1) Degree Specialization: Differential equations.
2) Title of Ph.D. Thesis: Reduction of Dirichlet problem and its generalization for elliptical equations to the boundary problems for holomorphic function.
3) Thesis advisor: Professor Chibrikova L.I.
• M.Sc, Year 1996, Faculty of Mechanics and Mathematics, Department of Differential Equation, Kazan State University, Russia.
1) Degree Specialization: Differential equations.
2) Title of M.Sc., Thesis: The application of integral transformation by Mellin’s Nucleus in Bessel’s theory.
3) Thesis advisor: Professor Chibrikova L.I.
RESEARCH, TEACHING, or OTHER INTERESTS
Applied Mathematics, Mathematical Physics, Modeling and Simulation, Computational Mathematics
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
K. Chandan, Rania Saadeh, Ahmad Qazza, K. Karthik, R. S. Varun Kumar, R. Naveen Kumar, Umair Khan, Atef Masmoudi, M. Modather M. Abdou, Walter Ojok,et al.
Springer Science and Business Media LLC
AbstractFins are widely used in many industrial applications, including heat exchangers. They benefit from a relatively economical design cost, are lightweight, and are quite miniature. Thus, this study investigates the influence of a wavy fin structure subjected to convective effects with internal heat generation. The thermal distribution, considered a steady condition in one dimension, is described by a unique implementation of a physics-informed neural network (PINN) as part of machine-learning intelligent strategies for analyzing heat transfer in a convective wavy fin. This novel research explores the use of PINNs to examine the effect of the nonlinearity of temperature equation and boundary conditions by altering the hyperparameters of the architecture. The non-linear ordinary differential equation (ODE) involved with heat transfer is reduced into a dimensionless form utilizing the non-dimensional variables to simplify the problem. Furthermore, Runge–Kutta Fehlberg’s fourth–fifth order (RKF-45) approach is implemented to evaluate the simplified equations numerically. To predict the wavy fin's heat transfer properties, an advanced neural network model is created without using a traditional data-driven approach, the ability to solve ODEs explicitly by incorporating a mean squared error-based loss function. The obtained results divulge that an increase in the thermal conductivity variable upsurges the thermal distribution. In contrast, a decrease in temperature profile is caused due to the augmentation in the convective-conductive variable values.
Mawada Ali, Fathelrhman EL Guma, Ahmad Qazza, Rania Saadeh, Nahaa E. Alsubaie, Mohammed Althubyani, and Mohamed A. Abdoon
Elsevier BV
Tareq Eriqat, Moa’ath N. Oqielat, Rania Saadeh, Ahmad El-Ajou, Ahmad Qazza, and Mohammed Abu Saleem
Elsevier BV
Mawada Ali, Salem Mubarak Alzahrani, Rania Saadeh, Mohamed A. Abdoon, Ahmad Qazza, Naseam Al-kuleab, and Fathelrhman EL Guma
Elsevier BV
Fathelrhman EL Gumaa, Mohamed A. Abdoon, Ahmad Qazza, Rania Saadeh, Mohammed Ali Arishi, and Abdoelnaser M. Degoot
New York Business Global LLC
Visceral Leishmaniasis remains a significant public health challenge in eastern Sudan despite extensive control efforts. This study employs MCMC Bayesian inference techniques to fit a mathematical model for studying visceral Leishmaniasis transmission dynamics with interventions. The research focuses on evaluation of control programs to adapt to the dynamic nature of visceralLeishmaniasis transmission. We analyze 22 years of cumulative visceral Leishmaniasis cases from eastern Sudan, an endemic region for visceral Leishmaniasis, and assessed the effectiveness of interventions implemented thus far. The results reveal that visceral Leishmaniasis is prevalent, with reported cases representing less than 20% of community infections. Improved surveillance and diagnostics are necessary for accurately estimating the disease burden. The effectiveness of intervention strategies for vector control for reducing VL transmission in the region is found to be limited. Furthermore, the model predicts visceral Leishmaniasis cases will continue to increase in the near future, underscoring the need adaptable initiatives to reduce the disease burden.
Rania Saadeh, Mohamed A. Abdoon, Ahmad Qazza, Mohammed Berir, Fathelrhman EL Guma, Naseam Al-kuleab, and Abdoelnaser M Degoot
Elsevier BV
Abdulrahman B. M. Alzahrani, Rania Saadeh, Mohamed A. Abdoon, Mohamed Elbadri, Mohammed Berir, and Ahmad Qazza
Springer Science and Business Media LLC
Rania Saadeh, Laith Hamdi, and Ahmad Qazza
Springer Nature Singapore
Mohamed A. Abdoon, Mohammed Berir, Ahmad Qazza, Rania Saadeh, and Fathelrhman E. L. Guma
Springer Nature Singapore
Rania Saadeh, Bayan Ghazal, and Ahmad Qazza
Springer Nature Singapore
Ahmad Qazza
Springer Nature Singapore
Raed Hatamleh, Amel Hioual, Ahmad Qazza, Rania Saadeh, and Adel Ouannas
Informa UK Limited
Kalachar Karthik, Rania Saadeh, Ravikumar Shashikala Varun Kumar, Ahmad Qazza, Javali Kotresh Madhukesh, Umair Khan, Anuar Ishak, and Md Irfanul Haque Siddiqui
Walter de Gruyter GmbH
Abstract The present study scrutinizes the significance of heat source/sink (HSS), thermophoretic particle deposition, and porous media on the time-dependent ternary nanofluid stream across a stretchable surface in the presence of Newtonian heating (NH) and common wall temperature (CWT) cases. The governing equations of the investigated model are changed into ordinary differential equations by using suitable similarity transformations. The resultant dimensionless equations are solved using the Laguerre polynomial collocation method. For comparison, the Runge Kutta Fehlberg’s fourth-fifth order (RKF-45) method is employed. Graphs are used to illustrate the significant parameters’ impacts on each profile, and relevant physical quantities such as the Sherwood number, skin friction, and Nusselt number are exhibited. The study reveals that the velocity profile drops with an increase in permeable parameters. The thermal profile increases with improvement in porous and HSS constraints. The concentration diminishes as the value of the thermophoretic parameter rises. For better solid volume fraction values, the rate of temperature dispersal is lower in the NH case associated with the CWT case. Additionally, the rate of thermal distribution is enhanced by approximately 2.90% surface drag force, 4.73% in the CWT case and 2.27% in the NH case, and the rate of mass transfer is enhanced by 2.99% when transitioning from ternary the ternary hybrid nanofluid to the (normal) nanofluid. The results of the study will help in heat exchangers, thermal management, chemical engineering, biomedical instruments, and design and optimization of electronic equipment.
Raed Hatamleh, Noureddine Djenina, Rania Saadeh, Ahmad Qazza, and Adel Ouannas
Informa UK Limited
H. B. Chethan, Rania Saadeh, D. G. Prakasha, Ahmad Qazza, Naveen S. Malagi, M. Nagaraja, and Deepak Umrao Sarwe
Frontiers Media SA
In this manuscript, we derive and examine the analytical solution for the solid tumor invasion model of fractional order. The main aim of this work is to formulate a solid tumor invasion model using the Caputo fractional operator. Here, the model involves a system of four equations, which are solved using an approximate analytical method. We used the fixed-point theorem to describe the uniqueness and existence of the model’s system of solutions and graphs to explain the results we achieved using this approach. The technique used in this manuscript is more efficient for studying the behavior of this model, and the results are accurate and converge swiftly. The current study reveals that the investigated model is time-dependent, which can be explored using the fractional-order calculus concept.
Iqbal M. Batiha, Rania Saadeh, Iqbal H. Jebril, Ahmad Qazza, Abeer A. Al-Nana, and Shaher Momani
Tech Science Press
Ajjanna Roja, Rania Saadeh, Raman Kumar, Ahmad Qazza, Umair Khan, Anuar Ishak, El-Sayed M. Sherif, and Ioan Pop
Walter de Gruyter GmbH
Abstract Many applications, including micro air vehicles, automotive, aerospace, refrigeration, mechanical–electromechanical systems, electronic device cooling, and micro heat exchanger systems, can be used to determine the heat flow in microchannels. Regarding engineering applications, heat flow optimization discusses the role of entropy production minimization. Therefore, this work explores new facets of entropy production in fully developed Carreau fluid heat transport in an inclined microchannel considering exponential space/temperature dependence, radiative heat flux, and Joule heating. The Carreau fluid model’s rheological properties are taken into account. Additionally, the influence of Hall slip velocity and convective boundary conditions is considered. Using appropriate transformation constraints, the governing equations are transformed into a system of ordinary differential equations, which are then numerically solved using the fourth- and fifth-order Runge–Kutta–Fehlberg method. Graphs illustrate a significant discussion of physical parameters on production of entropy, Bejan number, thermal field, and velocity. Our findings established that there is a dual impact of entropy generation for the exponential space/temperature-dependent, radiation parameter, Hall parameter, Weissenberg number, and velocity slip parameter. The Bejan number decreased with the Hall current and the Weissenberg number, and it enhanced with exponential space/temperature dependent. The convection constraint maximizes the entropy at the channel walls. The results are compared with exact solutions, which show excellent agreement.
Balaji Vinothkumar, Rania Saadeh, Tamalapakula Poornima, Ahmad Qazza, Pandikunta Sreenivasulu, Annasagaram Subba Rao, Umair Khan, and Md Irfanul Haque Siddiqui
Walter de Gruyter GmbH
Abstract Non-uniform heat sources and sinks are used to control the temperature of the reaction and ensure that it proceeds at the desired rate. It is worldwide in nature and may be found in all engineering applications such as nuclear reactors, electronic devices, chemical reactors, etc. In food processing, heat is used to cook such as microwave ovens, pasteurize infrared heaters, and sterilize food products. Non-uniform heat sources are mainly used in biomedical applications, such as hyperthermia cancer treatment, to target and kill cancer cells. Because of its ubiquitous nature, the idea is taken as our subject of study. Heat and species transfer analysis of a non-Newtonian fluid flow model under magnetic effects past an extensible moving sheet is modelled and examined. Homogeneous chemical reaction inside the fluid medium is also investigated. This natural phenomenon is framed as a set of Prandtl boundary layer equations under the assumed convective surface boundary constraint. Self-similarity transformation is employed to convert framed boundary layer equations to ordinary differential equations. The resultant system is solved using the efficient finite difference utilized Keller box method with the help of MATLAB programming. The influence of various fluid-affecting parameters on fluid momentum, energy, species diffusion and wall drag, heat, and mass transfer coefficients is studied. Accelerating the Weissenberg number decelerates the fluid velocity. The temperature of the fluid rises due to variations in the non-uniform heat source and sink parameters. Ohmic dissipation affects the temperature profile significantly. Species diffusion reduces when thermophoresis parameter and non-uniform heat source and sink parameters vary. The Eckert number enhances the heat and diffusion transfer rate. Increasing the chemical reaction parameter decreases the shear wall stress and energy transmission rate while improving the diffusion rate. The wall drag coefficient and Sherwood number decrease as the thermophoretic parameter increases whereas the Nusselt number increases. We hope that this work will act as a reference for future scholars who will have to deal with urgent problems related to industrial and technical enclosures.
Anomitra Chakraborty, Rania Saadeh, Ahmad Qazza, Naser Zomot, Pranitha Janapatla, Umair Khan, Mohammad Qraywi, and Taseer Muhammad
Frontiers Media SA
The present article aims to examine the thermal performance and the sensitivity analysis of a GO−TiO2/water hybrid nanofluid in the presence of different nanoparticle shapes along with heat absorption and thermal radiation effects over a wedge geometry. Analyzing the effects of heat generation and radiation effects is one of the key studies conducted by researchers in various nanofluid flows over some required geometries. However, a combined study of these effects has yet to be studied over a moving wedge, and that combination defines the novelty of the work. Similarity transformations are implemented to the governing equations to obtain the final set of nondimensional equations, which are solved using the bvp4c code in MATLAB. The results obtained were in close agreement with the published results. The Nusselt number decreased with an increase in the heat source parameter Q, and it increased with an increasing Hartree pressure gradient β and thermal radiation parameter Rd. The sensitivity is statistically analyzed for the variations in radiation effect, heat source, and pressure gradient parameters on the Nusselt number. The high values for R2=99.99% and Adj R2=99.96% validate the ANOVA results obtained using a Box–Behnken design (BBD) model in the response surface methodology (RSM) with 14 degrees of freedom. The input parameters Rd and β show positive sensitivity, while Q shows negative sensitivity toward the skin friction. The Nusselt number proves to be most sensitive toward the pressure gradient parameter. TiO2, graphene (Gr), and the derivative forms of graphene, are gaining much importance due to their wide applications in the oil and petroleum industries. Thus, this study contributes to lubrication purposes, emulsion stabilizers, oxalic acid removal, anti-corrosive properties, etc.
Rania Saadah, Mohammed Amleh, Ahmad Qazza, Shrideh Al-Omari, and Ahmet Ocak Akdemir
Computers, Materials and Continua (Tech Science Press)
Faeza Lafta Hasan, Mohamed A. Abdoon, Rania Saadeh, Ahmad Qazza, and Dalal Khalid Almutairi
American Institute of Mathematical Sciences (AIMS)
<abstract> <p>This paper introduces a pioneering exploration of the stochastic (2+1) dimensional breaking soliton equation (SBSE) and the stochastic fractional Broer-Kaup system (SFBK), employing the first integral method to uncover explicit solutions, including trigonometric, exponential, hyperbolic, and solitary wave solutions. Despite the extensive application of the Broer-Kaup model in tsunami wave analysis and plasma physics, existing literature has largely overlooked the complexity introduced by stochastic elements and fractional dimensions. Our study fills this critical gap by extending the traditional Broer-Kaup equations through the lens of stochastic forces, thereby offering a more comprehensive framework for analyzing hydrodynamic wave models. The novelty of our approach lies in the detailed investigation of the SBSE and SFBK equations, providing new insights into the behavior of shallow water waves under the influence of randomness. This work not only advances theoretical understanding but also enhances practical analysis capabilities by illustrating the effects of noise on wave propagation. Utilizing MATLAB for visual representation, we demonstrate the efficiency and flexibility of our method in addressing these sophisticated physical processes. The analytical solutions derived here mark a significant departure from previous findings, contributing novel perspectives to the field and paving the way for future research into complex wave dynamics.</p> </abstract>