Prof. Adnene Arbi , University of Carthage, Tunisia.
Dr. Adnene Arbi is an Associate Professor at the National Institute of Applied Sciences and Technology (INSAT), University of Carthage, Tunisia. A member of the Laboratory of Engineering Mathematics, he holds a Ph.D. in Mathematics (2014) from the University of Carthage. His research focuses on dynamical systems, time-delay systems, neural networks, and robust control. With over 30 peer-reviewed publications and extensive editorial contributions, Dr. Arbi has significantly advanced applied mathematics and computational sciences. He also organizes AI events and fosters collaborations in various mathematical fields. 
Publication Profiles
Education and Experience
Education
- 2023: Habilitation in Applied Mathematics, Preparatory Institute for Scientific and Technical Studies, University of Carthage, Tunisia
- 2009-2014: Ph.D. in Mathematics, Faculty of Sciences of Bizerta, University of Carthage, Tunisia
- 2006-2008: Master in Engineering of Mathematics, Polytechnic School of Tunisia, University of Carthage, Tunisia
- 2001-2005: Bachelor in Applied Mathematics, Faculty of Sciences of Bizerta, University of Carthage, Tunisia
Experience
- 2024–Present: Associate Professor, INSAT, University of Carthage
- 2020–2023: Vice-director, National School of Advanced Sciences and Technologies, University of Carthage
- 2018–2024: Assistant Professor, National School of Advanced Sciences and Technologies, University of Carthage
- 2015–2017: Assistant Professor, High Institute of Applied Sciences and Technology, University of Kairouan
- 2006–2014: Professor of Secondary Education, Ministry of Education, Tunisia
Suitability For The Award
Dr. Adnene Arbi, an Associate Professor at the National Institute of Applied Sciences and Technology (INSAT), University of Carthage, Tunisia, exemplifies Excellence in Research through his groundbreaking work in applied mathematics, with a focus on dynamical systems, neural networks, robust control, time-delay systems, and stochastic systems. His innovative contributions and relentless pursuit of knowledge make him an ideal recipient of the Excellence in Research recognition.
Professional Development
Dr. Adnene Arbi is a distinguished contributor to applied mathematics and computational sciences. He serves as an editor for leading journals like Frontiers in Applied Mathematics and Statistics and the Journal of Innovative Applied Mathematics and Computational Sciences. He has organized AI-focused events and special issues in reputed journals. Dr. Arbi actively participates in collaborative initiatives, developing novel methodologies in dynamical systems, neural networks, and AI. His dedication to advancing research and fostering academic growth reflects his passion for mathematics and innovation.
Research Focus
Dr. Arbi’s research emphasizes dynamical systems, time scales calculus, delayed differential equations, and robust control. He has advanced the theoretical understanding of oscillatory systems and neural networks, focusing on synchronization and optimization. Dr. Arbi leverages computational tools like AI, machine learning, and numerical methods to address complex mathematical problems, with a keen interest in simulation and algorithm development. His work contributes to applied mathematics, fostering innovations in modeling, control theory, and statistical analysis.
Publication Top Notes
- Heuristic computing technique for numerical solutions of nonlinear fourth order Emden–Fowler equation, Mathematics and Computers in Simulation, 178, 534-548 (107 citations) – 2020
- Improved synchronization analysis of competitive neural networks with time-varying delays, Nonlinear Analysis: Modelling and Control, 23, 82-102 (73 citations) – 2018
- Pseudo-almost periodic solution on time-space scales for a novel class of competitive neutral-type neural networks with mixed time-varying delays and leakage delays, Neural Processing Letters, 46, 719-745 (69 citations) – 2017
- A Note on Heat Transport with Aspect of Magnetic Dipole and Higher Order Chemical Process for Steady Micropolar Fluid, Fluid-Structure Interaction, 46 (Cited by 2021)
- Dynamics of BAM neural networks with mixed delays and leakage time‐varying delays in the weighted pseudo–almost periodic on time‐space scales, Mathematical Methods in the Applied Sciences, 43 (Cited by 2018)
- Upshot of radiative rotating Prandtl fluid flow over a slippery surface embedded with variable species diffusivity and multiple convective boundary conditions, Heat Transfer, 38 (Cited by 2021)
- Stability of Traveling Waves Solutions for Nonlinear Cellular Neural Networks with Distributed Delays, J Syst Sci Complex, 35, 18–31 (Cited by 2022)
- Analysis of pathological voices by speech processing, Seventh International Symposium on Signal Processing and Its Applications, (Cited by 2003)
- Neuro-swarms intelligent computing using Gudermannian kernel for solving a class of second order Lane-Emden singular nonlinear model, AIMS Math, 6 (3), 2468-2485 (33 citations) – 2021