Full Professor, Higher Institute of Industrial Management, University of Sfax, Tunisia
Prof. Souhail Dhouib, a Tunisian national born on June 18, 1972, is a distinguished figure in the realms of Artificial Intelligence and Operations Research. With over two decades of experience in academia and industry, he stands as a pioneering figure in decision making and planning methodologies, notably recognized for inventing the Dhouib-Matrix optimization concept.
Profile
Orcid
Education 🎓
Prof. Dhouib pursued his academic journey at the Faculty of Management and Economics Sciences, Sfax University, Tunisia, where he earned his Ph.D. in Quantitative Methods, his Master’s degree in Operations Research and Production Management, and his Bachelor’s degree in Management Information Systems.
Experience 💼
With a rich blend of academic prowess and practical acumen, Prof. Dhouib has served in various capacities. From being a General Manager to founding companies specializing in business software development, his expertise spans across industries. Moreover, his proficiency extends to consultancy for businesses and industries, shaping his role as a seasoned Operations Research Analyst.
Research Interests 🔍
Prof. Dhouib’s research interests revolve around Artificial Intelligence, Operations research, Optimization algorithms, Logistic, Supply Chain Management, Business Intelligence Systems, and Enterprise Resource Planning (ERP). His innovative approaches have garnered recognition in academia and industry alike.
Awards 🏆
Prof. Dhouib’s contributions have been acknowledged through numerous awards and accolades, symbolizing his impact and influence in the field of decision making and planning methodologies.
Publications Top Notes📚
Intelligent Path Planning for Cognitive Mobile Robot Based on DhouibMatrix-SPP Method – Cognitive Robotics, 2024.
Multi-Start Constructive Heuristic through Descriptive Statistical Metrics: The Dhouib-Matrix-4 Metaheuristic – International Journal of Operational Research, 2024.
Innovative Method to Solve the Minimum Spanning Tree Problem: The Dhouib-Matrix-MSTP (DM-MSTP) – Results in Control and Optimization, 2024.
Enhancing the Dhouib-Matrix-4 Metaheuristic to Generate the Pareto Non-Dominated Set Solutions for Multi-objective Travelling Salesman Problem: The DM4-PMO Method – Results in Control and Optimization, 2024.
Faster than Dijkstra and A* Methods for the Mobile Robot Path Planning Problem Using Four Movement Directions: The Dhouib-Matrix-SPP-4 – Advances in Transdisciplinary Engineering, Mechatronics and Automation Technology, 2024.