Abdessalem Jerbi | Simulation | Best Researcher Award

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Prof. Abdessalem Jerbi | Simulation | Best Researcher Award

Prof at institut supƩrieur de gestion in dustrielle, Tunisia

Abdessalem Jerbi is an Assistant Professor at the High Institute of Industrial Management of Sfax, Tunisia, with a Ph.D. in Mechanical Engineering and Habilitation to Supervise Research. He specializes in the simulation and optimization of manufacturing systems, logistics, and healthcare operations. With over 22 years of teaching experience, he has supervised over 50 studentsā€™ graduation projects. His research contributions include developing decision tools for manufacturing layouts and optimizing COVID-19 vaccination center operations. Abdessalem is affiliated with the OLID-ISGI laboratory and actively participates in academic workshops and committees to enhance educational outcomes.

Publication profile

Current Position

  • Assistant Professor at the High Institute of Industrial Management of Sfax (ISGIS), Tunisia.

Educational Background

Habilitation to Supervise Research (HSR) (2023), University of Sfax, Tunisia. Ph.D. in Mechanical Engineering (2010), University of Sfax, focusing on manufacturing system layouts. M.Sc. in Industrial Engineering (2004), University of Sfax, analyzing manufacturing layouts. B.Sc. in Engineering (1999), University of Sfax, specializing in control systems.

Research Interests

  • Simulation of manufacturing systems, logistics chains, and healthcare infrastructure.
  • Design of experiments and optimization techniques in industrial processes.

Teaching Experience

Over 22 years in industrial management education, teaching courses such as Simulation of Industrial Systems, Design of Experiments, Predictive Maintenance Techniques, and Vibration Analysis. Supervised more than 50 students in various professional masterā€™s programs.

Academic Activities

  • Active in organizing workshops and participating in various academic committees related to industrial engineering and logistics.
  • Contributed to research initiatives focusing on COVID-19 vaccination operations management and risk assessment in supply chains.

Publication

1. Performance Optimization of a Flexible Manufacturing System Using Simulation: The Taguchi Method Versus OptQuest
  • Authors: A Jerbi, A Ammar, M Krid, B Salah
  • Journal: Simulation
  • Volume: 95
  • Issue: 11
  • Pages: 1085-1096
  • Year: 2019
2. The Cellular Manufacturing Paradox: A Critical Review of Simulation Studies
  • Authors: H Chtourou, A Jerbi, AY Maalej
  • Journal: Journal of Manufacturing Technology Management
  • Volume: 19
  • Issue: 5
  • Pages: 591-606
  • Year: 2008
3. Comparing Functional and Cellular Layouts Using Simulation and Taguchi Method
  • Authors: A Jerbi, H Chtourou, AY Maalej
  • Journal: Journal of Manufacturing Technology Management
  • Volume: 21
  • Issue: 5
  • Pages: 529-538
  • Year: 2010
4. Design of Supply Chain Transportation Pooling Strategy for Reducing CO2 Emissions Using a Simulation-Based Methodology: A Case Study
  • Authors: A Jerbi, H Jribi, AM Aljuaid, W Hachicha, F Masmoudi
  • Journal: Sustainability
  • Volume: 14
  • Issue: 4
  • Article Number: 2331
  • Year: 2022
5. Functional VS Cellular Layout: Using Simulation as a Comparison Tool
  • Authors: A Jerbi, H Chtourou, AY Maalej, S Eni
  • Conference: Third International Conference on Advances in Mechanical Engineering
  • Year: 2006
6. Comparing Functional and Cellular Layouts: Simulation Models
  • Authors: A Jerbi, H Chtourou, AY Maalej
  • Journal: International Journal of Simulation Modelling
  • Volume: 8
  • Issue: 4
  • Pages: 215-224
  • Year: 2009
7. Multi-objective Design Optimization of Flexible Manufacturing Systems Using Design of Simulation Experiments: A Comparative Study
  • Authors: A Jerbi, W Hachicha, AM Aljuaid, NK Masmoudi, F Masmoudi
  • Journal: Machines
  • Volume: 10
  • Issue: 4
  • Article Number: 247
  • Year: 2022
8. Simulation Modeling Assessment and Improvement of a COVID-19 Mass Vaccination Center Operations
  • Authors: A Jerbi, F Masmoudi
  • Journal: Simulation
  • Volume: 99
  • Issue: 6
  • Pages: 553-572
  • Year: 2023

Conclusion šŸŽ‰

Abdessalem Jerbi exemplifies a dedicated academic and researcher with a robust educational foundation, significant teaching experience, and impactful research contributions in industrial engineering. His work on optimization and simulation addresses pressing issues in manufacturing, logistics, and public health, making him a valuable asset to the academic community. By enhancing his publication record and engaging in interdisciplinary collaborations, Abdessalem can further solidify his position as a leading researcher in his field. His commitment to education and mentorship also positions him as an ideal candidate for the Best Researcher Award.

Chi Ma | Mechanical Design | Best Scholar Award

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Assoc Prof Dr. Chi Ma ā€Œ | Mechanical Design|Best Scholar AwardĀ 

Assoc Prof Dr at Chi Ma Chongqing University China

Dr. Ma Chi, an Associate Professor at Chongqing University, specializes in numerical control equipment. Over the past five years, he has authored or coauthored 40 SCI papers with an average impact factor of 6.7355, earning over 1700 citations. His research, published in top journals like Int. J. Mach. Tools Manuf. and ASME’s J. Manuf. Sci. E-T, has garnered significant academic and industrial acclaim. He holds more than 20 national invention patents, contributing to substantial economic and social benefits. Dr. Ma has led six major research projects and serves on several prestigious editorial and professional committees.

Profile

 

 

šŸ“šEducationĀ 

Ph.D. in Mechanical Engineering, Xi’an Jiaotong University (2012-2017) Advisor: Prof. Xuesong Mei. B.Eng. in Mechanical Design, Manufacture, and Automation, Xi’an Technological University (2008-2012)

āœØ Work Experience

Postdoctoral Fellow / Associate Professor, Chongqing University (2018-Present) Lecturer, Chongqing University (2018-2020) Joint Ph.D. Student, University of California, Berkeley (2016-2017) Advisor: Prof. David B. Bogy

šŸ§‘ā€šŸ”¬Research Interests

High-efficiency and precision processing, Thermal error prediction and compensation in machining equipment, Simulation modeling of machining errors, Topology optimization in cooling systems for machining tools

šŸ… Professional Achievements

Publications: Authored/coauthored 50 SCI papers, average impact factor: 6.7355 Key journals: Int. J. Mach. Tools Manuf., ASME’s J. Manuf. Sci. E-T, J. Manuf. Process., Mech. Syst. Signal Pr. Citations: Over 1700 on SCI. Patents: Holds over 20 national invention patents. Projects: Presided over six major scientific research projects including National Key Research and Development Plan projects Participated in multiple high-profile projects like National Defence Project, National Natural Science Foundation key projects. Awards: First Prize of Chongqing Municipal Scientific and Technological Progress First Prize of Technological Invention of Machinery Industry Silver Prize of the 24th China Patent Award

šŸ“Š Project Undertaking

I have presided over a total of six scientific research projects including the National Key Research and Development Plan projects, the National Natural Science Foundation of China (NSFC) top/youth projects, the Chongqing Natural Science Foundation top projects, the China Postdoctoral Science Foundation, and the Chongqing Municipal Overseas Returned Scholars Support Plan projects, and participated in two major special projects, the National Defence Project, the National Natural Science Foundation key projects, the 04 Scientific and Technological Major Special Projects, and the National Key Research and Development Plan projects, among others, for six projects.

 

Publications Top Notes šŸ“

 

  1. šŸ“„ Li M, Ma C*, Zeng S, et al. Cooling water jacket design of motorized spindle system using multi-objective topology optimization[J]. Applied Thermal Engineering, 2023, 224: 120112.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.120112
  2. šŸ“„ Li M, Zeng S, Hu J, Ma C*. Free-mounted cooling plate multi-objective topology optimization method towards precision machine tool heat dissipation An experimental and numerical study[J]. International Journal of Heat and Mass Transfer, 2023, 241: 124394.
    šŸ”— https://doi.org/10.1016/j.ijheatmasstransfer.2023.124394
  3. šŸ“„ Li M, Ma C*, Liu J, et al. Topology optimization design of cooling water jacket structure for high-speed spindle-bearing system[J]. Journal of Manufacturing Processes, 2023, 102: 1-22.
    šŸ”— https://doi.org/10.1016/j.jmapro.2023.07.034
  4. šŸ“„ Li M, Ma C*, Liu J, et al. Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107278.
    šŸ”— https://doi.org/10.1016/j.engappai.2023.107278
  5. šŸ“„ Luo F, Ma C*, Liu J, et al. Effect of gas-liquid phase change of axial rotating heat pipe on fluid-thermal-solid behaviors of high-speed spindle[J]. Applied Thermal Engineering, 2023, 232: 121117.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.121117
  6. šŸ“„ Luo F, Ma C*, Liu J, et al. Theoretical and experimental study on rotating heat pipe towards thermal error control of motorized spindle[J]. International Journal of Thermal Sciences, 2023, 185: 108095.
    šŸ”— https://doi.org/10.1016/j.ijthermalsci.2022.108095
  7. šŸ“„ Zeng S, Ma C*, Liu J, et al. Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework[J]. Applied Soft Computing, 2023, 138: 110221.
    šŸ”— https://doi.org/10.1016/j.asoc.2023.110221
  8. šŸ“„ Gui H, Liu J, Ma C*, et al. Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model[J]. Journal of Intelligent Manufacturing, 2023.
    šŸ”— https://doi.org/10.1007/s10845-023-02095-3
  9. šŸ“„ Zhang L, Liu J, Ma C*, et al. Intelligent integrated framework towards high-accuracy machining[J]. Engineering Science and Technology, an International Journal, 2023, 40: 101359.
    šŸ”— https://doi.org/10.1016/j.jestch.2023.101359
  10. šŸ“„ Luo F, Ma C*, Liu J, et al. Thermal error prediction and control method combining residua-based one-dimensional convolution-minimum gate unit model with physical-data-edge-cloud terminal architecture[J]. Neural Computing and Applications, 2023, 41: 103234.