Souhail Dhouib | Optimization | Best Researcher Award

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Prof. Souhail Dhouib | Optimization | Best Researcher Award

Dr at Souhail Dhouib Higher Institute of Industrial Management of Sfax, University of Sfax, Tunisia

Teaching Experience: Over 20 years of teaching at universities in Tunisia (Sfax and Gafsa) and Saudi Arabia (Al Faisal and Al Baha).. Scientific Research Specialist: Expertise in decision making and planning, focusing on Artificial Intelligence, Operations Research, Optimization Algorithms, Logistics, Supply Chain Management, Quality, Business Intelligence Systems, and Enterprise Resource Planning (ERP). Management Experience: Practical experience as a General Manager, managing companies and consulting for business organizations and industries. Industrial Experience: Over 20 years of experience in designing and developing business management software across various sectors including Manufacturing, Electronics, and Clothing. Entrepreneurship: Founder of two companies specializing in business software development. Technical Expertise: Proficient in 4D Development Packages (4D language, 4D database, 4D SQL desktop), MS-Project Software, SPSS Software, MATLAB, R Project for statistical computing, Python, Java, and C programming languages.šŸŒŸ

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šŸŽ“ Education

Ph.D. in Quantitative Methods Faculty of Management and Economics Sciences, Sfax University, Tunisia (2004-2009). Master’s in Operations Research and Production Management. Faculty of Management and Economics Sciences, Sfax University, Tunisia (2001-2003). Bachelor’s in Management Information Systems. Faculty of Management and Economics Sciences, Sfax University, Tunisia (1992-1996)

šŸ¢ Industry Experience

General Manager (2001-2006), Analyst Programmer in Computer Science using 4D Platform (1999-2012), Professional Systems Implementation (1999-2012), Analyst Programmer in Management Information Systems (1996-1998)

šŸŽ“ Academic Experience

Full Professor (Since 2017), Associate Professor (2013-2017), Assistant Professor (2009-2013), Expert/Assistant (2003-2009), Teacher (1998-2001)

Publication:šŸ“

    • Title: Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method
      Journal: Cognitive Robotics
      Year: 2024
      DOI: 10.1016/j.cogr.2024.02.001
      Contributor: Souhail Dhouib
    • Title: Tool Path Length Optimization in Drilling Operations: A Comparative Study
      Book:
      Year: 2024
      DOI: 10.1007/978-3-031-38241-3_33
      Contributors: Alaeddine Zouari, Dhouib Souhail, Fatma Lehyani, JosƩ Carlos SƔ
    • Title: Original optimal method to solve the all-pairs shortest path problem: Dhouib-matrix-ALL-SPP
      Journal: Data Science and Management
      Year: September 2024
      DOI: 10.1016/j.dsm.2024.01.005
      Contributor: Souhail Dhouib
    • Title: Decision support system using Dhouib-Matrix-TP1 heuristic for pentagonal fuzzy transportation problem
      Journal: Indonesian Journal of Electrical Engineering and Computer Science
      Year: July 1, 2024
      DOI: 10.11591/ijeecs.v35.i1.pp642-654
      Contributors: Souhail Dhouib, AĆÆda Kharrat, Saima Dhouib, Tole Sutikno
    • Title: Enhancing the Dhouib-Matrix-4 metaheuristic to generate the Pareto non-dominated set solutions for multi-objective travelling salesman problem: The DM4-PMO method
      Journal: Results in Control and Optimization
      Year: March 2024
      DOI: 10.1016/j.rico.2024.100402
      Contributors: Souhail Dhouib, AĆÆda Kharrat, Taicir Loukil, Habib Chabchoub
    • Title: Innovative method to solve the minimum spanning tree problem: The Dhouib-Matrix-MSTP (DM-MSTP)
      Journal: Results in Control and Optimization
      Year: March 2024
      DOI: 10.1016/j.rico.2023.100359
      Contributor: Souhail Dhouib

Li Xia | Plant biotechnology |Best Researcher Award

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Prof. ā€ŒLi Xia |Plant biotechnology | Best Researcher Award

Prof at Qingdao University of Science and Technology China

Li Xia is a distinguished professor at the College of Chemical Engineering, Qingdao University of Science and Technology. With a PhD in Chemical Engineering, his research expertise spans process system engineering, chemical thermodynamics, dynamic simulation, process optimization, and energy-saving technologies. He has contributed extensively to the fields of chemical process simulation and intelligent chemical industry through numerous high-impact publications and patents. Li Xia has led and collaborated on several national research projects, focusing on innovative energy-saving strategies and the development of new chemical processes. His work has significantly advanced the application of thermodynamic models and optimization techniques in industrial processes.

Profile

 

šŸ“šEducation

PhD in Chemical Engineering Qingdao University of Science and Technology, China [2010-2016]

Ā šŸ¢ Professional Appointments

  • Professor College of Chemical Engineering, Qingdao University of Science and Technology [2006-present]

Research Projects šŸ“

Project Title: Research on energy saving strategies and methods for chemical processes based on fire accumulation Duration: January 2015 – December 2017 Funding Source: National Natural Science Foundation of China Grant Number: 21406124 Role: Project Leader Outcome: Concluded Project Title: Intelligent method and application research of low-temperature waste heat extraction and utilization Duration: January 2022 – December 2025 Funding Source: National Natural Science Foundation of China Grant Number: 22178190 Role: Second completer Status: Amidst Research Project Title: A new method and its application research for vapor-liquid equilibrium prediction based on elements and chemical bonds Duration: January 2012 – December 2015 Funding Source: National Natural Science Foundation of China Grant Number: 21176127 Role: Third completer Outcome: Concluded

Publications Top Notes šŸ“

  1. Benzoic Acid Catalyzed Production of Xylose and Xylooligosaccharides from Poplar
    • Authors: Li, L., Wan, Q., Lu, Y., Xu, J., Gou, J.
    • Journal: Industrial Crops and Products
    • Year: 2024
    • Volume: 213
    • Pages: 118460
    • Abstract: This study explores the catalytic production of xylose and xylooligosaccharides from poplar using benzoic acid, focusing on optimizing yield and process efficiency.

 

  1. A Matrix Completion Method for Imputing Missing Values of Process Data
    • Authors: Zhang, X., Sun, X., Xia, L., Tao, S., Xiang, S.
    • Journal: Processes
    • Year: 2024
    • Volume: 12
    • Issue: 4
    • Pages: 659
    • Abstract: This open-access article presents a matrix completion method aimed at imputing missing values in process data, potentially improving data integrity and analysis in various industrial applications.

 

  1. Design Method of Extractant for Liquidā€“Liquid Extraction Based on Elements and Chemical Bonds
    • Authors: Wei, Y., Zhang, C., Zhang, Y., Sun, X., Xiang, S.
    • Journal: Chinese Journal of Chemical Engineering
    • Year: 2024
    • Volume: 68
    • Pages: 193ā€“202
    • Abstract: The study proposes a novel design method for extractants used in liquid-liquid extraction, focusing on the role of elements and chemical bonds to enhance extraction efficiency.

 

  1. A Projected Newton Algorithm Based on Chemically Allowed Interval for Chemical Equilibrium Computations
    • Authors: Lu, H., Tao, S., Sun, X., Xia, L., Xiang, S.
    • Journal: Frontiers of Chemical Science and Engineering
    • Year: 2024
    • Volume: 18
    • Issue: 3
    • Pages: 27
    • Abstract: This article introduces a projected Newton algorithm designed to improve chemical equilibrium computations by using chemically allowed intervals, aiming to enhance accuracy and computational efficiency.

 

  1. Enhancing Working Fluid Selection for Novel Cogeneration Systems by Integrating Predictive Modeling: From Molecular Simulation to Process Evaluation
    • Authors: Wang, L., Zong, F., Liu, Z., Sun, X., Xiang, S.
    • Journal: Process Safety and Environmental Protection
    • Year: 2024
    • Volume: 183
    • Pages: 587ā€“601
    • Abstract: This research focuses on the selection of working fluids for cogeneration systems, integrating predictive modeling from molecular simulation to process evaluation to optimize performance and safety.

 

  1. Development of Special Process Simulation System for Sulfuric Acid Alkylation Process
    • Authors: Zhao, T., Xia, L., Sun, X., Chen, Y., Xiang, S.
    • Journal: Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities
    • Year: 2024
    • Volume: 38
    • Issue: 1
    • Pages: 121ā€“127
    • Abstract: This study details the development of a specialized process simulation system for the sulfuric acid alkylation process, aiming to improve efficiency and reliability in industrial applications.