Mahmoud Abd-Ellah | Computer Science | Best Researcher Award

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Assoc. Prof. Dr. Mahmoud Abd-Ellah | Computer Science | Best Researcher Award

Egyptian Russian University | Egypt

Dr. Mahmoud Khaled Abd-Ellah is an accomplished Assistant Professor at the Faculty of Artificial Intelligence, Egyptian Russian University, Badr, Egypt, widely recognized for his pioneering research at the intersection of artificial intelligence, medical imaging, and deep learning. Holding a Ph.D. in Electrical Engineering from Minia University, his doctoral research focused on brain tumor diagnosis through MRI using advanced machine learning techniques. His impressive publication portfolio includes 22 Scopus-indexed papers, collectively cited 830 times by 774 documents, with an h-index of 12 demonstrating substantial scientific impact and research excellence. His scholarly work has been featured in leading journals such as Scientific Reports, Neural Computing and Applications, and Ecological Informatics, advancing AI-driven approaches for medical image analysis, automated brain tumor detection, COVID-19 classification, and environmental data modeling. Beyond research, Dr. Abd-Ellah actively contributes to academic governance and quality enhancement as a member of the Egyptian International Ranking Committee, head of the Quality Management Unit, and ranking official at the Egyptian Russian University. He is also an active member of multiple IEEE councils, engaging in the development and application of AI across engineering and biomedical domains. His ORCID profile (0000-0002-6840-2503) and Scopus ID (57191265348) further reflect his consistent record of impactful scholarship and international collaboration. With his interdisciplinary expertise, editorial service, and mentorship of Ph.D. and master’s students, Dr. Mahmoud Khaled Abd-Ellah exemplifies academic leadership, innovation, and a transformative approach to research that advances both science and society.

Profile: Scopus | Google Scholar | ORCID | ResearchGate

Featured Publications

  • Abd-Ellah, M. K., Awad, A. I., Khalaf, A. A. M., & Hamed, H. F. A. (2019). A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned. Magnetic Resonance Imaging, 61, 300–318.

  • Abd-Ellah, M. K., Awad, A. I., Khalaf, A. A. M., & Hamed, H. F. A. (2018). Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks. EURASIP Journal on Image and Video Processing, 2018(1), 1–10.

  • El-Rawy, M., Abd-Ellah, M. K., Fathi, H., & Ahmed, A. K. A. (2021). Forecasting effluent and performance of wastewater treatment plant using different machine learning techniques. Journal of Water Process Engineering, 44, 102380.

  • Abd-Ellah, M. K., Awad, A. I., Khalaf, A. A. M., & Hamed, H. F. A. (2016). Design and implementation of a computer-aided diagnosis system for brain tumor classification. In 2016 28th International Conference on Microelectronics (ICM) (pp. 73–76).

  • MostafaShokry, A. A. M. K., Awad, A. I., & Abd-Ellah, M. K. (2022). Systematic survey of advanced metering infrastructure security: Vulnerabilities, attacks, countermeasures, and future vision. Future Generation Computer Systems, 1–21.

Souhail Dhouib | Computer Science | Best Researcher Award

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Prof. Souhail Dhouib | Computer Science | Best Researcher Award

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👤

Google Scholar

ORCID

Scopus

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.

🧠 Research Interests On Computer Science

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:

  •  Certificate of Excellence, Best Researcher Award (8th International Young Scientist Awards, June 2023)

  •  Best Researcher Award (7th Global Research Awards on AI & Robotics, May 2023)

  •  Best Researcher Award (6th International Research Awards on CAD in Mechanical Engineering, June 2023)

  •  Best Researcher Award (21st World Top Scientists Awards, April 2025)
    These accolades underscore his transformative contributions to the fields of AI and Optimization.

📚 Publications

  • 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

  • Solving the Single-Valued Trapezoidal Neutrosophic Transportation Problems through the Novel Dhouib-Matrix-TP1 Heuristic
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 39

  • A new column-row method for traveling salesman problem: the dhouib-matrix-TSP1
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 30

  • 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

  • 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

  • Solving the trapezoidal fuzzy transportation problems via new heuristic: the Dhouib-Matrix-TP1
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 26

  • Multi-start constructive heuristic through descriptive statistical metrics: the Dhouib-Matrix-4 metaheuristic
    Author(s): S. Dhouib
    Year: 2024
    Cited by: 25

  • 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

  • Neutrosophic triangular fuzzy travelling salesman problem based on dhouib-matrix-TSP1 heuristic
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 25

  • 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

  • Minimizing the total distance for the supply chain problem using dhouib-matrix-TSP2 method
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 24

  • 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

  • Novel Metaheuristic Based on Iterated Constructive Stochastic Heuristic: Dhouib‐Matrix‐3 (DM3)
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 23

  • 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.