Naima Benmakhlouf | Fluide et biophysique | Best Researcher Award

Posted on by Shen Awards

Dr. Naima Benmakhlouf| Fluide et biophysique| Best Researcher Award

Maitre Assistant à université AlBaha , Tunisia.

Dr. Naima Mohamed Benmakhlouf is a Tunisian physicist with deep expertise in fluid mechanics and heat transfer. She earned her Ph.D. in Physics from the University of Tunis El Manar, where she studied the hydro-thermo-mechanical behavior of porous materials during drying processes. Fluent in Arabic, French, and English, she has held teaching roles in Tunisia and Saudi Arabia, most recently as an Assistant Professor at Al-Baha University. Known for her academic rigor and administrative leadership, she has supervised physics departments, contributed to quality committees, and engaged in collaborative international research. Dr. Benmakhlouf’s dedication to science, education, and applied research make her a valuable asset in both academia and global scientific communities.

Professional Profile​

Education

Dr. Benmakhlouf holds a Ph.D. in Physics (2016) from the Faculty of Science of Tunis, University of Tunis El Manar, with a specialization in fluid mechanics and heat transfer. Her doctoral research explored the drying dynamics of porous materials like leather using experimental and numerical modeling. She also earned a Master’s degree (2012) in the Physics of Fluids and Transfers and a Bachelor’s in Physical and Chemical Sciences (2009) from the same university. Her academic background is further enriched with diplomas in materials science and experimental sciences. She has participated in advanced research internships in France and Spain, gaining valuable international research experience, especially in thermal and water characterization of innovative materials.

Professional Experience

Dr. Benmakhlouf has held academic positions since 2009, starting with tutorial courses in physics at various Tunisian institutions. Between 2013 and 2016, she taught at Bouebdelli University before transitioning to Al-Baha University in Saudi Arabia as an Assistant Professor (2017–2020). There, she supervised the Girls’ Physics Department and contributed to quality and learning resources committees. She has also served as a reviewer for journals such as Food and Bioproducts Processing. Beyond teaching, she participated in several training programs and collaborative research initiatives, notably in France and Spain, focusing on innovative composite materials and convective drying processes. Her multidisciplinary skills span teaching, scientific research, administrative duties, and collaborative project management.

Research Interests

Dr. Naima Benmakhlouf’s research centers on the hydro-thermo-mechanical behavior of porous materials, particularly during drying processes. She integrates experimental techniques and numerical simulations to analyze heat and mass transfer, contributing to advancements in sustainable materials processing and thermal system modeling. Her recent work includes photovoltaic pumping systems, microwave drying of food materials, and viscoelastic modeling of leather. She collaborates internationally on the characterization of composite materials and smart energy solutions. Her interdisciplinary expertise connects physics, material science, environmental sustainability, and process intensification—bridging theoretical understanding and real-world applications. Through her research, Dr. Benmakhlouf contributes to energy efficiency, eco-friendly drying technologies, and the scientific community’s knowledge of fluid-structure interactions.

Awards and Honors

While specific named awards are not listed, Dr. Benmakhlouf has consistently achieved academic recognition, including a “very honorable” distinction for her Ph.D. and “very good” for her Master’s degree. She has been invited for international internships, such as at the University of Picardie Jules Verne in France and the Universidad Politécnica de Cartagena in Spain—opportunities typically reserved for outstanding researchers. Additionally, her role as a journal reviewer and department head at Al-Baha University signifies peer recognition and leadership trust. Her research publications in top-tier journals like Comptes Rendus Mécanique and Arabian Journal of Chemistry underline her scholarly impact and the quality of her scientific contributions.

Conclusion

Dr. Naima Benmakhlouf is a strong candidate for a mid-career research excellence award, particularly in applied physics or interdisciplinary engineering. Her work bridges fundamental physics with real-world applications (leather drying, renewable systems), and she is making steady contributions across research, teaching, and academic service.

However, for highly competitive “Best Researcher Awards” at national or international levels, it is recommended that she:

  • Increases publication frequency in Q1 journals

  • Seeks research grants or consortium roles

  • Supervises postgraduate research students

  • Expands collaborations and international visibility

➡️ Recommendation: Suitable for institutional or regional best researcher awards, with potential to reach national/international levels with continued research development and broader dissemination.

Publications Top Notes

  • Azzouz, S., Hermassi, I., Toujani, M., & Belghith, A. (2016). Effect of drying temperature on the rheological characteristics of dried seedless grapes. Food and Bioproducts Processing, 100, 246–254.
    📑 Citations: 19

  • Benmakhlouf, N., Azzouz, S., Monzó-Cabrera, J., Khdhira, H., & ElCafsi, A. (2017). Controlling mechanisms of moisture diffusion in convective drying of leather. Heat and Mass Transfer, 53, 1237–1245.
    📑 Citations: 18

  • Benmakhlouf, N., Azzouz, S., Khedhira, H., & ElCafsi, A. (2016). Moisture sorption isotherms of leather. Journal of the Society of Leather Technologists and Chemists, 100(2), 77–83.
    📑 Citations: 8

  • Benmakhlouf, N., Azzouz, S., & El Cafsi, A. (2018). Experimental and mathematical investigation of parameters drying of leather by hot air. Heat and Mass Transfer, 54, 3695–3705.
    📑 Citations: 7

  • Benmakhlouf, N., Azzouz, S., & ElCafsi, A. (2020). The determination of isosteric heats of sorption of leather: Experimental and mathematical investigations. Arabian Journal of Chemistry, 13(2), 4286–4293.
    📑 Citations: 5

  • Azzouz, S., Benmakhlouf, N., Toumi, A., Khedhira, H., & ElCafsi, A. (2017). Study of the mechanical characteristics of dried leather. Journal of the Society of Leather Technologists and Chemists, 101(5), 253–259.
    📑 Citations: 5

  • Benmakhlouf, N., Azzouz, S., Hassini, L., & El Cafsi, A. (2021). 2D model simulating the hydro-rheological behavior of leather during convective drying. Comptes Rendus Mécanique, 349(2), 305–322.
    📑 Citations: 1

  • Benmakhlouf, N. (2025). Blood flow dynamics and vascular fluid mechanics. Physics of Fluids, 37(1).
    📑 Citations: N/A (newly published)

​

Dongju Chen | Engineering | Best Researcher Award

Posted on by Shen Awards

Prof. Dongju Chen | Engineering | Best Researcher Award

university professor from Beijing University of Technology, China

Dongju Chen is a distinguished professor and doctoral supervisor at the College of Mechanical & Energy Engineering, Beijing University of Technology. With a Ph.D. in mechanical engineering from the University of Gombigne, France, and Harbin Institute of Technology, she has made significant contributions to precision machining and mechanical systems. She serves as an assistant director at the Institute of CNC Precision Machining Technology and has been recognized through multiple prestigious talent programs, including the “Rixin Talents” Training Program and the “Qingbai Talents” Hundred Talents Program. As a senior member of CMES, IEEE fellow, and Secretary of the Production Engineering Society of China, she plays a crucial role in advancing the field of mechanical engineering. Her research primarily focuses on ultra-precision machine tools, micro-nano processing, and hydrostatic spindle mechanics. She is an esteemed reviewer for several high-impact journals and an active participant in national research initiatives. Dongju Chen has authored numerous influential publications, contributing to advancements in manufacturing technology and precision machining.

Professional Profile

Education

Dongju Chen holds a Ph.D. in mechanical engineering, earned through a joint program between the University of Gombigne in France and Harbin Institute of Technology in China. This dual-degree program provided her with an extensive foundation in advanced mechanical systems and manufacturing technologies. Her academic journey has been instrumental in shaping her expertise in ultra-precision machining, fluid mechanics, and micro-nano-scale processing. The rigorous training at these prestigious institutions equipped her with a deep understanding of both theoretical and applied aspects of mechanical engineering. Throughout her education, she actively engaged in research projects that explored error identification in machine tools and the influence of micro-scale fluids on machining performance. Her commitment to academic excellence led to numerous collaborations with international research teams and further strengthened her expertise in manufacturing technology.

Professional Experience

Dongju Chen has had a remarkable professional career, contributing significantly to academia and research in mechanical engineering. Since completing her Ph.D. in 2010, she has been a faculty member at Beijing University of Technology, serving as a professor and doctoral supervisor at the College of Mechanical & Energy Engineering. She is also an assistant director at the Institute of CNC Precision Machining Technology, where she leads research on precision machining techniques. Throughout her career, she has held key positions in professional societies, including Secretary of the Production Engineering Society of China and a senior CMES member. As a recognized expert, she has contributed to evaluating research projects for institutions like the National Natural Science Foundation of China and the Zhejiang Natural Science Foundation. Her role as a reviewer for prestigious journals, such as the Journal of Manufacturing Science and Technology (JMST) and Measurement and Advanced Manufacturing Technology (AMT), further highlights her influence in the field.

Research Interests

Dongju Chen’s research is centered on precision machining, ultra-precision machine tools, and fluid-structure interactions in mechanical systems. She is particularly interested in error identification and detection technologies for ultra-precision machine tools, investigating the dynamic behavior of hydrostatic spindles and their interactions with micro-scale fluids. Another key area of her research focuses on the influence of micro-nano-scale fluid mechanics on the performance of machine tool components. Additionally, her studies extend to the dynamic contact mechanisms of hydrostatic spindle-solid coupling under the influence of slip, contributing to enhanced machining accuracy and efficiency. She has also explored micro-nano-scale processing techniques and their implications in advanced manufacturing. Her work plays a crucial role in improving machining precision, enhancing industrial manufacturing processes, and developing innovative solutions for high-precision engineering applications.

Research Skills

Dongju Chen possesses a diverse set of research skills that have enabled her to make substantial contributions to mechanical engineering. Her expertise includes numerical simulation techniques, computational fluid dynamics (CFD), and finite element analysis (FEA) to study machining processes at micro and nano scales. She has extensive experience in error identification and detection methodologies, crucial for optimizing the performance of ultra-precision machine tools. Additionally, her skills in molecular dynamics simulations allow her to investigate the rheological performance of lubricant oils in machining applications. Her proficiency in tribology, hydrostatic spindle mechanics, and fluid-structure interactions further strengthen her research capabilities. Beyond computational methods, she has expertise in experimental techniques for evaluating spindle dynamics and machining accuracy. Her interdisciplinary approach, combining theoretical modeling with experimental validation, has been instrumental in advancing precision machining technologies.

Awards and Honors

Dongju Chen has received several prestigious awards in recognition of her contributions to mechanical engineering. She was selected for the “Rixin Talents” Training Program of Beijing University of Technology in 2012, highlighting her exceptional research potential. In 2016, she was honored as a “New Star of Science and Technology” in Beijing, acknowledging her impact on technological advancements in manufacturing. The same year, she was inducted into the “Qingbai Talents” Hundred Talents Program of Beijing University of Technology, further solidifying her status as a leading researcher in the field. Her contributions have also been recognized through memberships in esteemed professional societies, including IEEE fellowship and senior membership in CMES. Her publications in top-tier journals have received widespread acclaim, further affirming her influence and expertise in precision machining and advanced manufacturing technologies.

Conclusion

Dongju Chen is a highly accomplished researcher and professor in the field of mechanical engineering, with a strong focus on ultra-precision machining and fluid-structure interactions. Her contributions to research, education, and professional organizations have positioned her as a leading expert in precision engineering. Through her extensive academic background, numerous publications, and leadership roles, she has significantly influenced the development of advanced manufacturing technologies. Her commitment to innovation and excellence continues to drive progress in the field, making her a valuable asset to both academia and industry. As a mentor and educator, she plays a vital role in shaping the next generation of engineers, ensuring the continued advancement of precision machining technologies.

Publication Top Notes

  1. A study of the influence of speed effect on the kinematic behavior of aerostatic spindles

    • Authors: D. Chen, X. Du, J. Fan, K. Sun, H. Wang
    • Year: 2025

  2. Study on the mechanism of correlation between surface quality and tissue properties of Ti6Al4V alloy formed by selective laser melting

    • Authors: D. Chen, G. Li, P. Wang, Y. Tang
    • Year: 2025

  3. Optimization of multi-axis laser shock peening process for nickel alloy components based on workpiece curvature and equipment dynamic performance

    • Authors: R. Pan, Y. Xing, R. Wang, K. Sun, P. Gao
    • Year: 2024

  4. The tribological properties of nano-lubricants and their application on bearings: recent research progress

    • Authors: J. Li, D. Chen, H. Zhang, J. Fan, Y. Tang
    • Year: 2024
    • Citations: 2

  5. Tool inclination angle designing for low-deformation and high-efficiency machining of thin-wall blade based on edge-workpiece-engagement

    • Authors: D. Chen, S. Wu, J. Wu, J. Fan, Y. Tang
    • Year: 2024

  6. A systematic review of micro-texture formation based on milling: from mechanism, existing techniques, characterization to typical applications

    • Authors: Z. Jiang, D. Chen, K. Sun, J. Fan, Y. Tang
    • Year: 2024

  7. Coupling effect of partial composite texture and thermal effect on the performance of hydrostatic bearing

    • Authors: D. Chen, Y. Cui, K. Sun, J. Fan, K. Cheng
    • Year: 2024

  8. Ball-end milling stability and force analysis in the presence of inclination angles through a new algorithm with numerical chip thickness in edge-workpiece engagement

    • Authors: S. Wu, D. Chen, J. Fan, Y. Tang
    • Year: 2024

  9. Unbalanced vibration suppressing for aerostatic spindle using sliding mode control method and piezoelectric ceramics

    • Authors: D. Chen, X. Zhang, H. Wang, J. Fan, D. Liang
    • Year: 2024

  10. Analysis of the impact of graphene nano-lubricating oil on thermal performance of hydrostatic bearing

  • Authors: D. Chen, Y. Zhao, K. Sun, R. Pan, J. Fan
  • Year: 2024
  • Citations: 2