activity
20242026
collaborators

6 papers

math.DS2026

Memory reshapes stability landscapes: resilience-resistance tradeoffs and critical transitions

Moein Khalighi, Chandler Ross, Ville Laitinen +2

Regime shifts in biology, ecology, and other complex systems are often interpreted through stability landscapes and early warning signals that implicitly assume dynamics without me…

math.NA2026

LDG method for solving spatial and temporal fractional nonlinear convection-diffusion equations

Majid Rajabzadeh, Moein Khalighi

This paper focuses on a nonlinear convection-diffusion equation with space and time-fractional Laplacian operators of orders and , respectively. We develop loca…

q-bio.NC2025

Stability of Fractional-Order Discrete-Time Systems with Application to Rulkov Neural Networks and Asymmetric Memristor Synapses

Leila Eftekhari, Moein Khalighi, Saeid Abbasbandy

Memristors have emerged as ideal components for modeling synaptic connections in neural networks due to their ability to emulate synaptic plasticity and memory effects. Discrete mo…

stat.AP2025

Reconstructing ecological community dynamics from limited observations

Chandler Ross, Ville Laitinen, Moein Khalighi +4

Ecosystems tend to fluctuate around stable equilibria in response to internal dynamics and environmental factors. Occasionally, they enter an unstable tipping region and collapse i…

q-bio.PE2025

Fractional modelling of COVID-19 transmission incorporating asymptomatic and super-spreader individuals

Moein Khalighi, Leo Lahti, Faïçal Ndaïrou +2

The COVID-19 pandemic has presented unprecedented challenges worldwide, necessitating effective modelling approaches to understand and control its transmission dynamics. In this st…

q-bio.PE2024

Epidemic Transmission Modeling with Fractional Derivatives and Environmental Pathogens

Moein Khalighi, Faïçal Ndaïrou, Leo Lahti

This research presents an advanced fractional-order compartmental model designed to delve into the complexities of COVID-19 transmission dynamics, specifically accounting for the i…