Area of research
Modeling and Simulation · Statistical and Nonlinear Physics
Research interest
Research interests include Fractional Differential Equations Solutions, Mathematical and Theoretical Epidemiology and Ecology Models, Nonlinear Differential Equations Analysis, and Nonlinear Waves and Solitons.
Exploring the combined effect of optimally controlled chemo-stem cell therapy on a fractional-order cancer model
Data-driven investigation of an epidemic model under saturated incidence rate using deep neural networks
AN INTELLIGENT FRAMEWORK FOR HYBRID NANOFLUID FLOW BETWEEN TWO CONCENTRIC CYLINDERS BASED ON DEEP NEURAL NETWORKS
Bifurcations, chaotic behavior, sensitivity analysis, and various soliton solutions for the extended nonlinear Schrödinger equation
Analysis of bifurcation, chaotic structures, lump and $ M-W $-shape soliton solutions to $ (2+1) $ complex modified Korteweg-de-Vries system
Bifurcations, chaotic behavior, sensitivity analysis and new optical solitons solutions of Sasa-Satsuma equation
Propagation of solitary wave solutions to (4+1)-dimensional Davey–Stewartson–Kadomtsev–Petviashvili equation arise in mathematical physics and stability analysis
Numerical investigation of MHD hybrid nanofluid flow with heat transfer subject to thermal radiation across two coaxial cylinders
Exploring the Lie symmetries, conservation laws, bifurcation analysis and dynamical waveform patterns of diverse exact solution to the Klein–Gordan equation
Multiple solitons with fission and multi waves interaction solutions of a (3+1)-dimensional combined pKP-BKP integrable equation
An analysis of fractional piecewise derivative models of dengue transmission using deep neural network
Dynamics of the optimality control of transmission of infectious disease: a sensitivity analysis
Stochastic wave solutions of fractional Radhakrishnan–Kundu–Lakshmanan equation arising in optical fibers with their sensitivity analysis
Nonlinear complex dynamical analysis and solitary waves for the (3+1)-D nonlinear extended Quantum Zakharov–Kuznetsov equation
Theoretical and numerical investigation of a modified ABC fractional operator for the spread of polio under the effect of vaccination
Mathematical modelling with computational fractional order for the unfolding dynamics of the communicable diseases
Analysis of Lie symmetry, bifurcations with phase portraits, sensitivity and diverse W − M-shape soliton solutions for the (2 + 1)-dimensional evolution equation
Exploring hybrid Sisko nanofluid on a stretching sheet: an improved cuckoo search-based machine learning approach
An artificial neural network analysis of the thermal distribution of a fractional-order radial porous fin influenced by an inclined magnetic field
Bifurcations, chaotic behavior, sensitivity analysis and soliton solutions of the extended Kadometsev–Petviashvili equation
Some new optical solitary waves solutions of a third order dispersive Schrödinger equation with Kerr nonlinearity using an efficient approach associated with Riccati equation
Complex behaviors and various soliton profiles of (2+1)-dimensional complex modified Korteweg-de-Vries Equation
Analysis of Ebola virus model using intelligent computing of a new stochastic neural network
Analyzing optical solitons in the generalized unstable NLSE in dispersive media
The artificial neural network approach for the transmission of malicious codes in wireless sensor networks with Caputo derivative
Giardiasis transmission dynamics: insights from fractal-fractional modeling and deep neural networks
Energy transfer through third‐grade fluid flow across an inclined stretching sheet subject to thermal radiation and Lorentz force
Dynamical properties and new optical soliton solutions of a generalized nonlinear Schrödinger equation
Bifurcations, chaotic dynamics, sensitivity analysis and some novel optical solitons of the perturbed non-linear Schrödinger equation with Kerr law non-linearity
Breather-like, singular, periodic, interaction of singular and periodic solitons, and a-periodic solitons of third-order nonlinear Schrödinger equation with an efficient algorithm