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.

Dong Yang | Technologies | Best Researcher Award

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Prof. Dong Yang | Technologies | Best Researcher Award

Dalian Institute of Chemical Physics Chinese Academy of Sciences | China

Dong Yang is currently a professor at the Dalian Institute of Chemical Physics, Chinese Academy of Sciences. He also serves as the Deputy Director of the State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy. His research focuses on advancing solar energy technologies, particularly in perovskite photovoltaics and renewable energy applications.

Profile👤

Google Scholar

Strengths for the Awards✨

  • Extensive Research Experience – Professor Dong Yang has a well-rounded academic and research background, spanning China and the United States, with positions at Dalian Institute of Chemical Physics (CAS), Virginia Tech, and Pennsylvania State University.
  • Leadership & Innovation – As a Deputy Director of a State Key Laboratory, he plays a pivotal role in advancing solar energy research, which is highly impactful in the field of sustainable energy.
  • Cutting-Edge Research – His work in perovskite photovoltaics, flexible electronics, tandem solar cells, and renewable energy harvesters is at the forefront of energy research, addressing critical global challenges.
  • Industrial Applications – His research is not just theoretical but has strong potential for real-world applications, bridging the gap between academia and industry.
  • International Collaborations – Having worked in China and the United States, he brings a global perspective to research, fostering international partnerships.

🎓 Education

Dong Yang earned his Ph.D. in Physical Chemistry from the Dalian Institute of Chemical Physics in 2014. His academic journey has been instrumental in shaping his expertise in solar energy conversion and flexible electronics.

🏆 Experience

Following his Ph.D., Dr. Yang expanded his research through postdoctoral positions at Shaanxi Normal University in China and Virginia Tech in the United States. From 2018 to 2022, he served as an Assistant Research Professor at Pennsylvania State University, contributing significantly to solar cell innovation. Currently, he leads a research group specializing in next-generation photovoltaics and energy-harvesting technologies.

🔬 Research Interests On Technologies

Dr. Yang’s research interests include perovskite photovoltaics, flexible electronics, tandem solar cells, and renewable energy devices. His work aims to enhance the efficiency, stability, and industrial scalability of solar energy solutions.

🏅 Awards

Dr. Yang has received several prestigious awards for his contributions to solar energy research. His innovations in perovskite solar cells and flexible electronics have been recognized internationally.

📚 Publications

Dr. Yang has authored numerous high-impact publications in esteemed journals. Below are some of his notable works:

  • High efficiency planar-type perovskite solar cells with negligible hysteresis using EDTA-complexed SnO2

    • Authors: D Yang, R Yang, K Wang, C Wu, X Zhu, J Feng, X Ren, G Fang, S Priya, …
    • Year: 2018
    • Citations: 1358

  • Surface optimization to eliminate hysteresis for record efficiency planar perovskite solar cells

    • Authors: D Yang, X Zhou, R Yang, Z Yang, W Yu, X Wang, C Li, SF Liu, …
    • Year: 2016
    • Citations: 993

  • Stable high efficiency two-dimensional perovskite solar cells via cesium doping

    • Authors: X Zhang, X Ren, B Liu, R Munir, X Zhu, D Yang, J Li, Y Liu, DM Smilgies, …
    • Year: 2017
    • Citations: 668

  • High efficiency flexible perovskite solar cells using superior low temperature TiO2

    • Authors: D Yang, R Yang, J Zhang, Z Yang, SF Liu, C Li
    • Year: 2015
    • Citations: 579

  • Record efficiency stable flexible perovskite solar cell using effective additive assistant strategy

    • Authors: J Feng, X Zhu, Z Yang, X Zhang, J Niu, Z Wang, S Zuo, S Priya, S Liu, …
    • Year: 2018
    • Citations: 490

  • Hysteresis‐suppressed high‐efficiency flexible perovskite solar cells using solid‐state ionic‐liquids for effective electron transport

    • Authors: D Yang, R Yang, X Ren, X Zhu, Z Yang, C Li, S Liu
    • Year: 2016
    • Citations: 436

  • 20‐mm‐Large single‐crystalline formamidinium‐perovskite wafer for mass production of integrated photodetectors

    • Authors: Y Liu, J Sun, Z Yang, D Yang, X Ren, H Xu, Z Yang, S Liu
    • Year: 2016
    • Citations: 390

  • Recent advances in flexible perovskite solar cells: fabrication and applications

    • Authors: D Yang, R Yang, S Priya, S Liu
    • Year: 2019
    • Citations: 378

  • Thinness-and shape-controlled growth for ultrathin single-crystalline perovskite wafers for mass production of superior photoelectronic devices

    • Authors: Y Liu, Y Zhang, Z Yang, D Yang, X Ren, L Pang, SF Liu
    • Year: 2016
    • Citations: 373

  • Solution-Processed Nb:SnO2 Electron Transport Layer for Efficient Planar Perovskite Solar Cells

    • Authors: X Ren, D Yang, Z Yang, J Feng, X Zhu, J Niu, Y Liu, W Zhao, SF Liu
    • Year: 2017
    • Citations: 356

🔚 Conclusion

Dr. Dong Yang is a distinguished researcher in solar energy and flexible electronics. His pioneering work continues to drive advancements in photovoltaic technology, bridging the gap between scientific discovery and industrial application.