Full Professor, Higher Institute of Industrial Management, University of Sfax, Tunisia
Prof. Souhail Dhouib 
is a distinguished academic and industry expert specializing in Artificial Intelligence and Operations Research. He holds the position of Full Professor at the Higher Institute of Industrial Management, University of Sfax, Tunisia, where he has taught for over twenty years. Prof. Dhouib is renowned for his pioneering work in matrix optimization concepts and has made significant contributions to decision-making and planning through his innovative algorithms and methodologies.
ProfileArtificial Intelligence
ORCID
Education
Prof. Dhouib completed his Ph.D. in Quantitative Methods from the Faculty of Management and Economics Sciences, Sfax University, Tunisia (2004-2009). He also holds a Master’s degree in Operations Research and Production Management (2001-2003) and a Bachelor’s degree in Management Information Systems (1992-1996), all from the same institution. 
Experience
Prof. Dhouib has over twenty years of extensive experience in both academia and industry. He has served as a General Manager and an Analyst Programmer, where he was involved in software development and implementation. His academic roles include positions as a Full Professor, Associate Professor, and Assistant Professor, contributing significantly to teaching and research. 
Research Interests
Prof. Dhouib’s research focuses on Artificial Intelligence, Operations Research, and Optimization algorithms. His work spans various domains, including Logistics, Supply Chain Management, Business Intelligence Systems, and ERP. He is particularly known for his Dhouib-Matrix methods and their applications in cognitive robotics, multi-objective optimization, and path planning. 
Awards
Prof. Dhouib’s contributions to the field have been recognized through numerous journal publications, although specific awards are not listed in the provided information. His innovative research and development efforts continue to impact the industry and academia. 
Publications
Intelligent Path Planning for Cognitive Mobile Robot Based on Dhouib-Matrix-SPP Method (2024) – Cognitive Robotics
Multi-Start Constructive Heuristic through Descriptive Statistical Metrics: The Dhouib-Matrix-4 Metaheuristic (2024) – International Journal of Operational Research
Innovative Method to Solve the Minimum Spanning Tree Problem: The Dhouib-Matrix-MSTP (DM-MSTP) (2024) – Results in Control and Optimization
Enhancing the Dhouib-Matrix-4 Metaheuristic to Generate the Pareto Non-Dominated Set Solutions for Multi-objective Travelling Salesman Problem: The DM4-PMO Method (2024) – Results in Control and Optimization
Faster than Dijkstra and A* Methods for the Mobile Robot Path Planning Problem Using Four Movement Directions: The Dhouib-Matrix-SPP-4 (2024) – Advances in Transdisciplinary Engineering, Mechatronics and Automation Technology