Rajveer Singh

Mr. Rajveer Singh

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Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 December 2025 in Symmetry
Verified
Journal Article
Open access
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RSRajveer Singh
Rajveer Singh
SKSachin Kumar
Sachin Kumar
AAAhmed Arnous
Ahmed Arnous
OGOswaldo González-Gaxiola
Oswaldo González-Gaxiola
LCLina Sobrepena Calucag
Lina Sobrepena Calucag
Anjan BiswasAnjan Biswas
Anjan Biswas
The current paper retrieves optical 1–soliton solution to the concatenation model with the Kerr law of self-phase modulation structure. The primary mode of integration is the Lie symmetry analysis. The subsequent ordinary differential equations (ODEs) are formulated by the recently proposed Kumar–Malik scheme. This leads to the emergence of a variety of 1–soliton solutions along with their respective existence criteria. The numerical simulations support the analytical solutions that are yielded by the joint application of the two schemes.

1 February 2026 in Chaos: An Interdisciplinary Journal of Nonlinear Science
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Journal Article
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SKSachin Kumar
Sachin Kumar
ASAbhay Pratap Singh
Abhay Pratap Singh
AGArju Godara
Arju Godara
SPSumit Paliwal
Sumit Paliwal
RSRajveer Singh
Rajveer Singh
AAAhmed Arnous
Ahmed Arnous
We investigate a stochastic nonlinear Schrödinger equation modeling optical bullets in dispersive nonlinear media. By applying Lie-symmetry analysis, the governing system is reduced to ordinary differential equations, enabling exact traveling-wave solutions through the Kumar–Malik and Kudryashov approaches. Phase-plane analysis and bifurcation structures are derived, and the Melnikov method is employed to detect homoclinic chaos under stochastic perturbations. The results demonstrate the coexistence of stable solitary structures and chaotic dynamics, offering new insights into energy localization and control in nonlinear optical systems. The methodology unifies symmetry-based reductions, exact solutions, and nonlinear bifurcation analysis, contributing to the broader theory of stochastic nonlinear evolution equations.

1 January 2025 in Demonstratio Mathematica
Verified
Journal Article
Open access
PDF file
RSRajveer Singh
Rajveer Singh
SKSachin Kumar
Sachin Kumar
AAAhmed Arnous
Ahmed Arnous
HAHassen Aydi
Hassen Aydi
Manuel De La SenManuel De La Sen
Manuel De La Sen
In this study, we investigate systems known as nonlinear fractional delay differential (nLFDD) systems, characterized by finite state delays and fractional orders within the range of 0 < η ≤ 1 < ζ ≤ 2 , situated infinite-dimensional settings. We utilize the controllability Gramian matrix to establish both necessary and sufficient conditions for the controllability of linear fractional delay differential systems that fall within the order range of 0 < η ≤ 1 < ζ ≤ 2 . Moreover, the Schauder fixed point theorem is employed to delineate the sufficient conditions required for the controllability of nLFDD systems, which are defined by finite state delays and fractional orders in the specified range. To substantiate the theoretical constructs put forth, we provide two illustrative examples.