Pshtiwan Othman Mohammed
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Pshtiwan Othman Mohammed has a total of 213 co-authors. Here are the top co-authors by number of shared publications:
- Majeed Ahmad Yousif
Department of Mathematics, College of Education, University of Zakho, Zakho 42002, Iraq
47 shared publications - Dumitru Baleanu
Department of Computer Science and Mathematics, Lebanese American University, Beirut 11022801, Lebanon
36 shared publications - Thabet Abdeljawad
Department of Mathematics and Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
29 shared publications - Hari Mohan Srivastava
Department of Mathematics and Statistics, University of Victoria, Victoria, BC V8W 3R4, Canada
27 shared publications - Yasser Salah Hamed
Department of Mathematics and Statistics, College of Science, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia
25 shared publications - Artion Kashuri
Polytechnic University of Tirana
21 shared publications
Latest Publications
- Open Access
- 4 November 2026
- Published by AccScience Publishing in An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
- p. 026350230
Fractional order convection-diffusion systems show chaos under exponential cubic B-spline discretization
The dynamical behavior of nonlinear fractional convection-diffusion equations (CDEs) is very rich and extends beyond their applicability as transport models, but it has yet to be explored numerically. In this paper, it is demonstrated that a time- and space-fractional nonlinear convection-diffusion equation exhibits a transition from stable equilibrium to deterministic chaos its nonlinear convection parameter increases by employing an exponential cubic B-spline scheme for this said problem. The Caputo fractional derivative is discretized using the L1 formula, whereas the fractional spatial operators are approximated using the exponential spline method. Using phase portraits, bifurcation diagrams, and Lyapunov exponent spectra, we identify three different dynamical behaviors: a stable regime, periodic behavior, and finally chaos, arising from the increasing value of the nonlinear convection parameter. Therefore, this work establishes the nonlinear convection parameter as a true bifurcation parameter and demonstrates the possibility of complex nonlinear dynamics in fractional convection-diffusion systems.
- 4 November 2026
- Published by AccScience Publishing in An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
- p. 026350230
Open AccessFractional order convection-diffusion systems show chaos under exponential cubic B-spline discretization
The dynamical behavior of nonlinear fractional convection-diffusion equations (CDEs) is very rich and extends beyond their applicability as transport models, but it has yet to be explored numerically. In this paper, it is demonstrated that a time- and space-fractional nonlinear convection-diffusion equation exhibits a transition from stable equilibrium to deterministic chaos its nonlinear convection parameter increases by employing an exponential cubic B-spline scheme for this said problem. The Caputo fractional derivative is discretized using the L1 formula, whereas the fractional spatial operators are approximated using the exponential spline method. Using phase portraits, bifurcation diagrams, and Lyapunov exponent spectra, we identify three different dynamical behaviors: a stable regime, periodic behavior, and finally chaos, arising from the increasing value of the nonlinear convection parameter. Therefore, this work establishes the nonlinear convection parameter as a true bifurcation parameter and demonstrates the possibility of complex nonlinear dynamics in fractional convection-diffusion systems.
- 30 October 2026
- Published by Springer Nature in Journal of Applied Mathematics and Computing
- Vol. 72 (11) , 270
Zooplankton-driven endemic persistence in an age-structured riverine cholera model with reaction-diffusion-advection dynamics
- 30 October 2026
- Published by Springer Nature in Journal of Applied Mathematics and Computing
- Vol. 72 (11) , 270
Zooplankton-driven endemic persistence in an age-structured riverine cholera model with reaction-diffusion-advection dynamics
- Open Access
- 1 September 2026
- Published by MDPI AG in Mathematics
- Vol. 14 (17) , 3135
Advancing the Numerical Treatment of Caputo Fractional Lotka–Volterra Systems Through Non-Polynomial Spline Approximation and Neural Network Verification
This paper presents a modified non-polynomial fractional cubic spline (MNPFCS) method for solving fractional Lotka–Volterra prey–predator systems governed by the Caputo fractional derivative. The proposed method integrates non-polynomial spline interpolation with fractional calculus to obtain accurate numerical approximations for nonlinear coupled systems. The stability and convergence of the method are established theoretically. To further verify its effectiveness, the numerical solutions are compared with those predicted by a feed-forward artificial neural network (ANN). Two benchmark examples demonstrate excellent agreement between the numerical and ANN solutions, while the MSE, MAE, and metrics confirm the high predictive accuracy of the ANN. The obtained results show that the proposed MNPFCS method is an accurate, stable, and efficient approach for solving nonlinear fractional dynamical systems.- 1 September 2026
- Published by MDPI AG in Mathematics
- Vol. 14 (17) , 3135
Open AccessAdvancing the Numerical Treatment of Caputo Fractional Lotka–Volterra Systems Through Non-Polynomial Spline Approximation and Neural Network Verification
This paper presents a modified non-polynomial fractional cubic spline (MNPFCS) method for solving fractional Lotka–Volterra prey–predator systems governed by the Caputo fractional derivative. The proposed method integrates non-polynomial spline interpolation with fractional calculus to obtain accurate numerical approximations for nonlinear coupled systems. The stability and convergence of the method are established theoretically. To further verify its effectiveness, the numerical solutions are compared with those predicted by a feed-forward artificial neural network (ANN). Two benchmark examples demonstrate excellent agreement between the numerical and ANN solutions, while the MSE, MAE, and metrics confirm the high predictive accuracy of the ANN. The obtained results show that the proposed MNPFCS method is an accurate, stable, and efficient approach for solving nonlinear fractional dynamical systems. - 31 July 2026
- Published by Springer Nature in Granular Matter
- Vol. 28 (4) , 88
Analytical solutions and artificial neural network approximations for sand ripples in granular media
- 31 July 2026
- Published by Springer Nature in Granular Matter
- Vol. 28 (4) , 88
Analytical solutions and artificial neural network approximations for sand ripples in granular media
- Open Access
- 23 July 2026
- Published by Universal Wiser Publisher Pte. Ltd in Contemporary Mathematics
- p. 4610-4634
Exploring Soliton Behavior in Nonlinear Schrödinger Equation with Higher-Order Terms Via Extended Direct Algebraic Method
We study the propagation of optical solitons in nonlinear media using a nonlinear Schrödinger equation with higher-order terms. We achieve accurate solutions as brilliant and dark solitons using the Extended Direct Algebraic Method (EDAM). The approach enables us to efficiently manage the dispersive and higher-order nonlinear factors. The impact of the coefficients on the soliton solutions is also investigated. Visual insights into the behaviour of the solitons are provided by the graphic analysis of the generated solutions using 2D and 3D plots. Furthermore, contour plots are created to show how the solutions vary depending on the different parameters, exposing complex structures and patterns. A greater comprehension of the physical phenomena that the equation describes is made possible by these graphical representations.
- 23 July 2026
- Published by Universal Wiser Publisher Pte. Ltd in Contemporary Mathematics
- p. 4610-4634
Open AccessExploring Soliton Behavior in Nonlinear Schrödinger Equation with Higher-Order Terms Via Extended Direct Algebraic Method
We study the propagation of optical solitons in nonlinear media using a nonlinear Schrödinger equation with higher-order terms. We achieve accurate solutions as brilliant and dark solitons using the Extended Direct Algebraic Method (EDAM). The approach enables us to efficiently manage the dispersive and higher-order nonlinear factors. The impact of the coefficients on the soliton solutions is also investigated. Visual insights into the behaviour of the solitons are provided by the graphic analysis of the generated solutions using 2D and 3D plots. Furthermore, contour plots are created to show how the solutions vary depending on the different parameters, exposing complex structures and patterns. A greater comprehension of the physical phenomena that the equation describes is made possible by these graphical representations.
- Open Access
Monotonicity and Composition Analyses for Fractional Differences Involving Generalized Mittag-Leffler Kernels
This study establishes a rigorous monotonicity and composition analysis for fractional difference operators defined via the generalized Mittag-Leffler kernel. A fundamental criterion linking the sign of the discrete Atangana–Baleanu–Riemann (ABR) fractional difference to a new generalized form of monotonicity (−monotonicity) of the function is derived at first. Subsequently, a crucial composition rule for the ABR difference and its associated sum is proved, providing an explicit formula that elegantly incorporates initial conditions. The use of our theoretical findings is demonstrated practically by its application in solving linear discrete initial value problems, transforming them into explicit solutions by employing the composition theorem. The outcomes reveal the underlying dynamics of discrete models, significantly enhancing the theoretical frameworks and applications.Open AccessMonotonicity and Composition Analyses for Fractional Differences Involving Generalized Mittag-Leffler Kernels
This study establishes a rigorous monotonicity and composition analysis for fractional difference operators defined via the generalized Mittag-Leffler kernel. A fundamental criterion linking the sign of the discrete Atangana–Baleanu–Riemann (ABR) fractional difference to a new generalized form of monotonicity (−monotonicity) of the function is derived at first. Subsequently, a crucial composition rule for the ABR difference and its associated sum is proved, providing an explicit formula that elegantly incorporates initial conditions. The use of our theoretical findings is demonstrated practically by its application in solving linear discrete initial value problems, transforming them into explicit solutions by employing the composition theorem. The outcomes reveal the underlying dynamics of discrete models, significantly enhancing the theoretical frameworks and applications. - 4 July 2026
- Published by Elsevier in Chaos, Solitons & Fractals
- Vol. 210
Bifurcation and chaotic dynamics of the damped nonlinear Schrödinger equation with soliton solutions
- 4 July 2026
- Published by Elsevier in Chaos, Solitons & Fractals
- Vol. 210
Bifurcation and chaotic dynamics of the damped nonlinear Schrödinger equation with soliton solutions
- Open Access
- 3 June 2026
- Published by Universal Wiser Publisher Pte. Ltd in Contemporary Mathematics
- p. 3929-3960
Exploring Solutions' Families of the Fractional Hirota-Satsuma Coupled KdV Equation via Extended Direct Algebraic Method
An extended direct algebraic method is used in this work to examine the soliton solutions of the fractional Hirota-Satsuma coupled Korteweg-de Vries equation. Understanding the dynamic behaviour of solitons in nonlinear systems using analytical solutions is our goal. To obtain precise soliton solutions, we utilise a logistic technique. These solutions are then shown graphically in three dimensions, two dimensions, and contours. Soliton interactions' complex dynamics and stability in fractional nonlinear systems are demonstrated by the results. This study clarifies the underlying dynamics and possible uses of soliton behaviour in complex systems, advancing our understanding of this phenomenon.
- 3 June 2026
- Published by Universal Wiser Publisher Pte. Ltd in Contemporary Mathematics
- p. 3929-3960
Open AccessExploring Solutions' Families of the Fractional Hirota-Satsuma Coupled KdV Equation via Extended Direct Algebraic Method
An extended direct algebraic method is used in this work to examine the soliton solutions of the fractional Hirota-Satsuma coupled Korteweg-de Vries equation. Understanding the dynamic behaviour of solitons in nonlinear systems using analytical solutions is our goal. To obtain precise soliton solutions, we utilise a logistic technique. These solutions are then shown graphically in three dimensions, two dimensions, and contours. Soliton interactions' complex dynamics and stability in fractional nonlinear systems are demonstrated by the results. This study clarifies the underlying dynamics and possible uses of soliton behaviour in complex systems, advancing our understanding of this phenomenon.
- Open Access
- 29 May 2026
- Published by MDPI AG in Fractal and Fractional
- Vol. 10 (6) , 371
Exact Dynamics and Optimization for a Discrete-Time SIR Model Using Time-Dependent Parameters
This study extends the discrete version of the Susceptible–Infected–Recovered (SIR) model to the non-autonomous case in which the rates of infection and cure are time-dependent. This generalization addresses a critical open problem in the literature. We develop a non-standard finite difference approach that maintains essential biological properties, such as population conservation and non-negativity, even under parameter variation. The main novelty here is the derivation of an exact semi-analytical solution to the non-autonomous nonlinear system. We also leverage the exact solution to develop an optimal control problem, which illustrates the potential for rigorous optimization of treatment strategies to minimize infection costs. The numerical simulations verify the theoretical results, showing not only the stability of the model when parameters change seasonally, as well as the efficiency of the optimal controls, but also the predictive power of the non-autonomous approach compared to classical autonomous models.
- 29 May 2026
- Published by MDPI AG in Fractal and Fractional
- Vol. 10 (6) , 371
Open AccessExact Dynamics and Optimization for a Discrete-Time SIR Model Using Time-Dependent Parameters
This study extends the discrete version of the Susceptible–Infected–Recovered (SIR) model to the non-autonomous case in which the rates of infection and cure are time-dependent. This generalization addresses a critical open problem in the literature. We develop a non-standard finite difference approach that maintains essential biological properties, such as population conservation and non-negativity, even under parameter variation. The main novelty here is the derivation of an exact semi-analytical solution to the non-autonomous nonlinear system. We also leverage the exact solution to develop an optimal control problem, which illustrates the potential for rigorous optimization of treatment strategies to minimize infection costs. The numerical simulations verify the theoretical results, showing not only the stability of the model when parameters change seasonally, as well as the efficiency of the optimal controls, but also the predictive power of the non-autonomous approach compared to classical autonomous models.