Souhail Dhouib | Computer Science | Best Researcher Award

Prof. Souhail Dhouib | Computer Science | Best Researcher Award

Full Professor, Higher Institute of Industrial Management of Sfax, University of Sfax,

Prof. Souhail Dhouib is a Tunisian academic and researcher specializing in Artificial Intelligence, Operations Research, and optimization algorithms. He currently serves as a Full Professor at the Higher Institute of Industrial Management, University of Sfax. With extensive expertise in decision science, logistics, and computational optimization, he is widely recognized for his contributions to metaheuristics and AI-based optimization methods. Prof. Dhouib is the inventor of the Dhouib-Matrix optimization concept, which has generated several novel heuristic and metaheuristic techniques for solving complex combinatorial and industrial problems. His work has earned international recognition, including inclusion among the world’s top 2% scientists in Artificial Intelligence and Operations Research.

Profile

ORCID: https://orcid.org/0000-0003-2487-0062

Prof. Dhouib has more than two decades of experience combining academic research with real-world industrial applications. He has served as an editorial board member of international journals, keynote speaker at global conferences, and external expert evaluator for international research funding bodies. In addition to his academic contributions, he has significant industry experience in software development, enterprise systems, and optimization-based decision support systems.

Education 🎓

Prof. Dhouib earned his PhD in Quantitative Methods from the Faculty of Management and Economics Sciences at the University of Sfax, Tunisia (2004–2009), where his research focused on Artificial Intelligence, operations research, optimization, data analytics, and decision science. He previously completed a Master’s degree in Operations Research and Production Management (2001–2003) at the same institution. His academic training began with a Bachelor’s degree in Management Information Systems (1992–1996), also from the Faculty of Management and Economics Sciences at the University of Sfax.

Experience 👨‍🏫

Since 2017, Prof. Dhouib has served as a Full Professor at the Higher Institute of Industrial Management at the University of Sfax. Throughout his academic career, he has contributed extensively to teaching, mentoring, and research in artificial intelligence, optimization algorithms, logistics, and decision support systems. He has also taught or collaborated with universities in Tunisia and Saudi Arabia, including institutions in Sfax, Gafsa, Al Faisal, and Al Baha.

Beyond academia, Prof. Dhouib has substantial industry experience. He served as General Manager of a business software development company between 2001 and 2006 and worked for many years as an analyst programmer designing enterprise management software systems across multiple sectors such as manufacturing, finance, and human resources. He is also the founder of two companies specializing in business software development and has participated in international technology exhibitions and consulting projects.

In addition, he regularly contributes to the global research community as a keynote speaker and workshop organizer at international conferences focusing on artificial intelligence, robotics, and optimization methods.

Research Interests 🔬

Prof. Dhouib’s research focuses on advanced computational methods for complex decision-making and optimization problems. His main areas of interest include:

Artificial Intelligence and intelligent optimization
Metaheuristic and heuristic algorithms
Operations Research and combinatorial optimization
Decision science and decision support systems
Logistics and supply chain optimization
Robotics path planning and industrial optimization problems

A key contribution of his work is the development of the Dhouib-Matrix framework, which introduces innovative optimization algorithms for solving transportation problems, travelling salesman problems, shortest path problems, and other combinatorial optimization challenges.

Awards 🏆

Listed among the World’s Top 2% Scientists in Artificial Intelligence and Operations Research by Stanford University and Elsevier.
Ranked 69th worldwide in Metaheuristics research by ScholarGPS (prior five-year ranking).
Best Researcher Award, 8th Edition of International Young Scientist Awards (2023).
Best Researcher Award, Global Research Awards on Artificial Intelligence and Robotics (2023).
Best Researcher Award, International Research Awards on Computer Aided Design in Mechanical Engineering (2023).
Best Researcher Award, World Top Scientists Awards (2025).

Publications 📑

“Original optimal method to solve the all-pairs shortest path problem: Dhouib-matrix-ALL-SPP” – Data Science and Management, 2024 (DOI: 10.1016/j.dsm.2024.01.005).
“Shortest Path Planning via the Rapid Dhouib-Matrix-SPP (DM-SPP) Method for the Autonomous Mobile Robot” – Results in Control and Optimization, 2023 (DOI: 10.1016/j.rico.2023.100299).
“Innovative Technique with Enriched Movement Directions to Plan the Trajectory for an Autonomous Mobile Robot” – Science Progress, 2025 (DOI: 10.1177/00368504251321714).
“Minimizing the drilling robot arm movement by the advanced Dhouib-Matrix-4 metaheuristic” – Concurrent Engineering: Research and Applications, 2025 (DOI: 10.1177/1063293X241311734).
“Optimizing the Hexagonal Fuzzy Transportation Problem With the Novel Dhouib-Matrix-TP1 Method” – Advances in Fuzzy Systems, 2025 (DOI: 10.1155/adfs/3152445).

Conclusion

Prof. Souhail Dhouib has established himself as a leading researcher in artificial intelligence and operations research through his pioneering work in optimization algorithms and metaheuristics. His development of the Dhouib-Matrix framework represents a significant methodological contribution to solving complex industrial and computational problems. With strong academic leadership, extensive international engagement, and impactful research outputs, he stands as a distinguished scholar whose work continues to advance the fields of AI-driven optimization and decision science, making him a strong candidate for academic recognition and research awards.