Higher Institute of Industrial Management of Sfax, University of Sfax | Tunisia
Prof. Souhail Dhouib is a globally recognized expert in Artificial Intelligence and Operations Research, proudly ranked among the World’s Top 2% Scientists by Stanford University and Elsevier. Notably, he holds the 69th position worldwide in the discipline of Metaheuristics according to ScholarGPS. As the inventor of the revolutionary “Dhouib-Matrix” AI optimization techniques, Prof. Dhouib has significantly advanced intelligent decision-making tools across multiple disciplines. He is also an acclaimed keynote speaker, international coordinator, editorial board member, and software industry pioneer. With an active academic and entrepreneurial spirit, he bridges the gap between theory and application in AI-driven optimization.
Professional profile👤
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Strengths for the Awards✨
Prof. Souhail Dhouib is globally recognized as one of the World’s Top 2% Scientists in both Artificial Intelligence and Operations Research, as listed by Stanford University and Elsevier. His reputation is further underscored by his ranking as the 69th best researcher in Metaheuristics according to ScholarGPS. A true pioneer, Prof. Dhouib is the inventor of the Dhouib-Matrix—a suite of novel optimization methods that includes original heuristics, metaheuristics, and optimal algorithms widely applied to path planning, supply chain, and fuzzy logic systems.
With over twenty years of industrial and academic experience, he demonstrates unparalleled versatility—serving as a professor, AI developer, operations researcher, business consultant, and software entrepreneur. His contribution to real-world AI applications is reflected in his significant publication record in top-tier journals, his keynote roles in leading international conferences, and multiple Best Researcher Awards in 2023 and 2025 across diverse global platforms.
🎓 Education
Prof. Dhouib earned his Ph.D. in Quantitative Methods, focusing on Artificial Intelligence, Optimization, and Decision Sciences from the Faculty of Management and Economic Sciences, University of Sfax, Tunisia (2004–2009). He previously completed a Master’s in Operations Research and Production Management (2001–2003) and a Bachelor’s in Management Information Systems (1992–1996) at the same institution. His solid academic foundation laid the groundwork for pioneering new AI methodologies.
🧪 Experience
Currently serving as a Full Professor at the Higher Institute of Industrial Management, University of Sfax, Tunisia since 2017, Prof. Dhouib boasts over two decades of experience in academia, research, consulting, and business software development. He has taught at prestigious universities in Tunisia and Saudi Arabia and served as Financial Director at ATID and Vice President of TORS. Additionally, he’s a certified lead auditor in ISMS and QMS and an expert in ERP systems, including SAP S/4HANA. Prof. Dhouib has evaluated research for the Italian Ministry of University and Research and managed companies focused on intelligent software solutions.
Prof. Dhouib’s research lies at the intersection of Artificial Intelligence, Operations Research, Metaheuristics, Decision Science, and Optimization. His core innovation, the “Dhouib-Matrix,” has led to the development of cutting-edge heuristics and metaheuristics for complex problems like transportation, scheduling, and robotics path planning. He is deeply involved in logistics, supply chain modeling, ERP systems, and intelligent decision-support systems, pushing boundaries in automated and cognitive computing applications.
🏆 Awards
Prof. Dhouib’s innovative work has earned him numerous international recognitions:
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Certificate of Excellence, Best Researcher Award (8th International Young Scientist Awards, June 2023)
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Best Researcher Award (7th Global Research Awards on AI & Robotics, May 2023)
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Best Researcher Award (6th International Research Awards on CAD in Mechanical Engineering, June 2023)
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Best Researcher Award (21st World Top Scientists Awards, April 2025)
These accolades underscore his transformative contributions to the fields of AI and Optimization.
📚 Publications
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Optimization of travelling salesman problem on single valued triangular neutrosophic number using dhouib-matrix-TSP1 heuristic
Author(s): S. Dhouib
Year: 2021
Cited by: 65
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Solving the Single-Valued Trapezoidal Neutrosophic Transportation Problems through the Novel Dhouib-Matrix-TP1 Heuristic
Author(s): S. Dhouib
Year: 2021
Cited by: 39
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A new column-row method for traveling salesman problem: the dhouib-matrix-TSP1
Author(s): S. Dhouib
Year: 2021
Cited by: 30
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Dhouib-Matrix-TSP1 method to optimize octagonal fuzzy travelling salesman problem using α-cut technique
Author(s): M. Miledi, S. Dhouib, T. Loukil
Year: 2021
Cited by: 29
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Single valued trapezoidal neutrosophic travelling salesman problem with novel greedy method: the dhouib-matrix-TSP1 (DM-TSP1)
Author(s): S. Dhouib, S. Broumi, M. Lathamaheswari
Year: 2021
Cited by: 27
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Solving the trapezoidal fuzzy transportation problems via new heuristic: the Dhouib-Matrix-TP1
Author(s): S. Dhouib
Year: 2021
Cited by: 26
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Multi-start constructive heuristic through descriptive statistical metrics: the Dhouib-Matrix-4 metaheuristic
Author(s): S. Dhouib
Year: 2024
Cited by: 25
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Adaptive iterated stochastic metaheuristic to optimize holes drilling path in manufacturing industry: The Adaptive-Dhouib-Matrix-3 (A-DM3)
Author(s): S. Dhouib, A. Zouari
Year: 2023
Cited by: 25
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Neutrosophic triangular fuzzy travelling salesman problem based on dhouib-matrix-TSP1 heuristic
Author(s): S. Dhouib
Year: 2021
Cited by: 25
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An intelligent assignment problem using novel heuristic: The dhouib-matrix-ap1 (dm-ap1): Novel method for assignment problem
Author(s): S. Dhouib
Year: 2022
Cited by: 24
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Minimizing the total distance for the supply chain problem using dhouib-matrix-TSP2 method
Author(s): S. Dhouib
Year: 2021
Cited by: 24
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Optimizing the trapezoidal fuzzy travelling salesman problem through dhouib-matrix-TSP1 method based on magnitude technique
Author(s): S. Dhouib
Year: 2021
Cited by: 24
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Novel Metaheuristic Based on Iterated Constructive Stochastic Heuristic: Dhouib‐Matrix‐3 (DM3)
Author(s): S. Dhouib
Year: 2021
Cited by: 23
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Stochastic column-row method for travelling salesman problem: the dhouib-matrix-TSP2
Author(s): S. Dhouib
Year: 2021
Cited by: 22
✅ Conclusion
🌟 Prof. Souhail Dhouib stands as a visionary in AI and Operations Research, seamlessly blending theoretical innovation with real-world application. His creation of the Dhouib-Matrix paradigm and its wide adoption in optimization problems across industries underscore his global influence. Through outstanding publications, impactful teaching, and trailblazing awards, Prof. Dhouib continues to lead the frontier of intelligent systems and computational research. His candidacy for prestigious research honors is both timely and richly deserved.
