activity
20242026
most citedOptimal Control of a Diffusive Epidemiological Model Involving the Caputo-Fabrizio Fractional Time-Derivative

5 citations · 21 across the 15 of their papers we have counts for

collaborators

16 papers

math.NA2026

Structure-Preserving Neural ODEs via Nonstandard Finite Difference Discretization

Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi

Although neural ordinary differential equations (NODEs) are a powerful framework for learning continuous-time dynamics, they generally do not preserve essential qualitative propert…

math.NA2026

A Nonstandard Finite Difference Scheme for a Nonlinear Parabolic Equation with p-Laplacian-Type Diffusion

Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi

We propose and analyze a nonstandard finite difference (NSFD) scheme for nonlinear parabolic equations involving a p-Laplacian-type diffusion operator in one- and two-dimensional s…

math.NA2026

A Fractional-Memory Physics-Informed Neural Network with Fast History Compression for Tempered Fractional Coupled Phase-Field Systems

Shubham Kumar, Himanshu Kumar Dwivedi, Matthias Ehrhardt +1

Tempered time-fractional coupled phase-field (tTFCP) systems are used to model interfacial phenomena involving memory-dependent transport and relaxation mechanisms. Numerical solut…

math.NA2026

Structure-Preserving Schemes for a Fractional SVIR Epidemic Model with a Hybrid Mittag-Leffler-Caputo-Fabrizio Operator

Seham M. Al-Mekhlafi, Ahmed Boudaoui, Matthias Ehrhardt

This paper proposes and analyzes a fractional-order SVIR epidemic model based on a hybrid Mittag-Leffler-Caputo-Fabrizio (MLCF) fractional operator with a nonsingular kernel. This…

stat.AP2026

A Koopman-PINN Framework for Epidemic Models: Parameter Inference and Forecasting

Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi

We propose a Koopman-enhanced physics-informed neural network (K--PINN) framework for parameter inference and forecasting in nonlinear epidemic models. This method combines Koopman…

math.NA2026

A Generalized Hacker Dynamics Model with Nonlinear Incidence: Analysis and Positivity-Preserving Numerical Simulation

Manh Tuan Hoang, Hoai Thu Pham, Matthias Ehrhardt

We propose and analyze a generalized compartment model for hacker dynamics in cybersecurity systems. This model is an extension of a recently introduced framework, replacing the bi…

math.DS2026

Constraint-Aware Physics-Informed Neural Networks for SEIR Reaction-Diffusion Epidemic Models with Vital Dynamics

Achraf Zinihi, Matthias Ehrhardt

Reaction-diffusion epidemic models with vital dynamics are an important framework for describing the spatial and temporal spread of infectious diseases. In this work, we present a…

q-bio.QM2025★ 2 cited

A Nonstandard Finite Difference Scheme for an SEIQR Epidemiological PDE Model

Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi

This paper introduces a nonstandard finite difference (NSFD) approach to a reaction-diffusion SEIQR epidemiological model, which captures the spatiotemporal dynamics of infectious…

math.DS2025★ 2 cited

A Koopman Operator Framework for Nonlinear Epidemic Dynamics: Application to an SIRSD Model

Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi

We develop and analyze an SIRSD epidemic model, which extends the classical SIR framework by incorporating waning immunity and disease-induced mortality. A rigorous well-posedness…

stat.AP2025

Actuarial Analysis of an Infectious Disease Insurance based on an SEIARD Epidemiological Model

Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi

The growing number of infectious disease outbreaks, like the one caused by the SARS-CoV-2 virus, underscores the necessity of actuarial models that can adapt to epidemic-driven ris…

math.DS2025

Spatiotemporal SEIQR Epidemic Modeling with Optimal Control for Vaccination, Treatment, and Social Measures

Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi

This paper introduces a spatiotemporal SEIQR epidemic model governed by a system of reaction-diffusion partial differential equations that incorporates optimal control strategies.…

physics.ao-ph2025★ 1 cited

Square Root Operators and the Well-Posedness of Pseudodifferential Parabolic Models of Wave Phenomena

Matthias Ehrhardt, Jochen Glück, Pavel Petrov +1

Pseudodifferential parabolic equations with an operator square root arise in wave propagation problems as a one-way counterpart of the Helmholtz equation. The expression under the…

math.DS2024★ 4 cited

Dynamical Analysis of a Cocaine-Heroin Epidemiological Model with Spatial Distributions

Achraf Zinihi, Moulay Rchid Sidi Ammi, Matthias Ehrhardt +1

This article conducts an in-depth investigation of a new spatio-temporal model for the cocaine-heroin epidemiological model with vital dynamics, incorporating the Laplacian operato…

math.DS2024★ 5 cited

Dynamical Behavior of a Stochastic Epidemiological Model: Stationary Distribution and Extinction of a SIRS Model with Stochastic Perturbations

Achraf Zinihi, Moulay Rchid Sidi Ammi, Matthias Ehrhardt

This paper deals with a new epidemiological model of SIRS with stochastic perturbations. The primary objective is to establish the existence of a unique non-negative nonlocal solut…

math.DS2024★ 5 cited

Optimal Control of a Diffusive Epidemiological Model Involving the Caputo-Fabrizio Fractional Time-Derivative

Achraf Zinihi, Moulay Rchid Sidi Ammi, Matthias Ehrhardt

In this work we study a fractional SEIR biological model of a reaction-diffusion, using the non-singular kernel Caputo-Fabrizio fractional derivative in the Caputo sense and employ…

nlin.CD2024★ 2 cited

Mathematical Modeling and Hyers-Ulam Stability for a Nonlinear Epidemiological Model with Operator and Mittag-Leffler Kernel

Achraf Zinihi, Moulay Rchid Sidi Ammi, Matthias Ehrhardt

This paper investigates a novel nonlinear singular fractional SI model with the operator and the Mittag-Leffler kernel. The initial investigation includes the existence, uniq…