🌟Dr. Fatiha Mesdoui, Synchronization, Best Researcher Award🏆

Doctorate at Jijel University, Algeria

Dr. Fatiha Mesdoui is an accomplished applied mathematician specializing in the synchronization of reaction-diffusion systems. With a strong academic background and notable publications, Dr. Mesdoui has made significant contributions to the fields of applied mathematics and dynamical systems.

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ORCID Profile

Dr. Mesdoui’s work has been recognized in various high-impact journals, such as IEEE Access and Mathematical Methods in the Applied Sciences. Her research is highly cited, reflecting its influence and importance in the field of applied mathematics.


Dr. Mesdoui earned her PhD in Applied Mathematics from the University of Jordan in 2021, focusing on the synchronization of reaction-diffusion systems under the guidance of Pr N. Shawagfeh and Dr. A. Ouannas. She also holds an MSc in Dynamical System and Geometry from the University of Sciences and Technology Houari Boumediene in Algeria, where she studied the classification of bursting mappings modelling the dynamic of a neuron. She completed her BSc in Mathematics at the same institution.

Research Focus

Dr. Mesdoui’s research focuses on the synchronization of reaction-diffusion systems, with a particular interest in fractional-order and integer-order systems. Her work applies mathematical methods to biochemical models, exploring synchronization methods for chaotic systems involving fractional derivatives.

Professional Journey

Dr. Mesdoui began her academic journey at the University of Sciences and Technology Houari Boumediene, Algeria, where she completed her BSc and MSc in Mathematics. She then pursued her PhD at the University of Jordan, specializing in applied mathematics. Throughout her career, she has collaborated with prominent researchers and contributed to significant advancements in her field.

Honors & Awards

Dr. Mesdoui has been recognized for her outstanding contributions to applied mathematics and dynamical systems. Her research has been published in prestigious journals and presented at international conferences, highlighting her expertise and impact in the field.

Publications Noted & Contributions

Dr. Mesdoui has several notable publications. Her work on synchronization methods for the Degn-Harrison reaction-diffusion systems was published in IEEE Access. She also contributed to the study of global synchronization of fractional-order and integer-order N component reaction diffusion systems in Mathematical Methods in the Applied Sciences. Her research on synchronization methods for chaotic systems involving fractional derivatives was accepted by the Journal of Applied Nonlinear Dynamics. Additionally, she submitted a study on synchronization between integer-order and fractional-order reaction-diffusion systems.

1. A variable-order fractional memristor neural network: Secure image encryption and synchronization via a smooth and robust control approach

  • Journal: Chaos, Solitons & Fractals
  • Date: September 2024
  • DOI: 10.1016/j.chaos.2024.115135
  • Contributors: Abdullah A. Al-Barakati, Fatiha Mesdoui, Stelios Bekiros, Sezgin Kaçar, Hadi Jahanshahi
  • Summary: This paper explores the use of variable-order fractional memristor neural networks for secure image encryption and synchronization. It proposes a novel control approach that enhances both the smoothness and robustness of the system.

2. Synchronization Methods for Chaotic Systems Involving Fractional Derivative with a Non-Singular Kernel

  • Journal: Journal of Applied Nonlinear Dynamics
  • Date: July 2022
  • DOI: 10.5890/jand.2022.06.008
  • Contributors: Fatiha Mesdoui, Nabil Shawagfeh, Adel Ouannas
  • Summary: This article presents synchronization methods for chaotic systems that involve fractional derivatives with non-singular kernels. The methods aim to achieve synchronization in a variety of chaotic systems.

3. Global synchronization of fractional‐order and integer‐order N component reaction diffusion systems: Application to biochemical models

  • Journal: Mathematical Methods in the Applied Sciences
  • Date: January 2021
  • DOI: 10.1002/mma.6807
  • Summary: This research addresses the global synchronization of both fractional-order and integer-order N-component reaction-diffusion systems. The application of these methods to biochemical models is also discussed.

4. Synchronization Methods for the Degn-Harrison Reaction-Diffusion Systems

  • Journal: IEEE Access
  • Date: 2020
  • DOI: 10.1109/access.2020.2993784
  • Summary: The paper introduces synchronization methods for Degn-Harrison reaction-diffusion systems, providing insights into the application of these methods in complex systems.

5. Synchronization of FitzHugh-Nagumo reaction-diffusion systems via one-dimensional linear control law

  • Contributors: Fatiha Mesdoui
  • Summary: This work focuses on the synchronization of FitzHugh-Nagumo reaction-diffusion systems using a one-dimensional linear control law, offering a simplified approach to achieving synchronization in such systems.

Fatiha Mesdoui’s research contributions significantly advance the field of synchronization methods in complex and chaotic systems, with practical applications ranging from biochemical models to secure image encryption.

Research Timeline

Dr. Mesdoui’s research journey began with her undergraduate studies, continued through her master’s and doctoral programs, and has extended into her professional career. Her focus on reaction-diffusion systems and synchronization methods has been consistent, leading to numerous publications and ongoing research projects.

Collaborations and Projects

Dr. Mesdoui has collaborated with various researchers, including Pr N. Shawagfeh, Dr. A. Ouannas, G. Grassi, and V. Pham. These collaborations have resulted in significant publications and advancements in the study of reaction-diffusion systems and synchronization methods. Her projects often involve interdisciplinary approaches, integrating mathematics with biochemical models to address complex problems.


Fatiha Mesdoui | Synchronization | Best Researcher Award

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