Mostapha Tarfaoui | Materials Science | Best Scholar Award

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Prof. Mostapha Tarfaoui | Materials Science | Best Scholar Award

Mohammed VI Polytechnic University | Morocco

Prof. Mostapha Tarfaoui is a distinguished researcher and professor at ENSTA, Palaiseau, France, specializing in composite and nanocomposite materials, multifunctional materials, additive manufacturing, and the mechanical, thermal, and electrical behavior of advanced materials. He earned his PhD in Science of Engineering (1999, France), Habilitation (D.Sc., 2008) in “Composite Materials: Dynamic Behavior,” and became a Professor in 2010 in mechanical and civil engineering. Prof. Mostapha Tarfaoui has trained 23 PhD students, 6 postdocs, and over 45 graduate students, currently supervising 12. With 198 publications, 4,485 citations, and an h-index of 37, his work spans finite element analysis, damage modeling, fracture toughness, fluid-structure interaction, and performance of bonded structures. He has contributed to over 20 international projects, collaborated with institutions across Europe, North America, Africa, and Asia, and served on numerous scientific committees and journal review boards.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

  • Tarfaoui, M., Lafdi, K., & El Moumen, A. (2016). Mechanical properties of carbon nanotubes based polymer composites. Composites Part B: Engineering, 103, 113–121

  • Nachtane, M., Tarfaoui, M., Goda, I., & Rouway, M. (2020). A review on the technologies, design considerations and numerical models of tidal current turbines. Renewable Energy, 157, 1274–1288.

  • El Moumen, A., Tarfaoui, M., & Lafdi, K. (2019). Additive manufacturing of polymer composites: Processing and modeling approaches. Composites Part B: Engineering, 171, 166–182.

  • Gning, P. B., Tarfaoui, M., Collombet, F., Riou, L., & Davies, P. (2005). Damage development in thick composite tubes under impact loading and influence on implosion pressure: Experimental observations. Composites Part B: Engineering, 36(4), 306–318.

  • El Moumen, A., Tarfaoui, M., & Lafdi, K. (2019). Modelling of the temperature and residual stress fields during 3D printing of polymer composites. The International Journal of Advanced Manufacturing Technology, 104(5), 1661–1675.

Wang chengmin | Materials Science | Young Scientist Award

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Dr. wang chengmin | Materials Science | Young Scientist Award

Dr. wang chengmin, Dalian jiaotong university, China

📚 Dr. Wang Chengmin, born in 1983, is a senior engineer and PhD candidate jointly trained by Tsinghua University and Dalian Jiaotong University. With 15 years of expertise in materials science, he specializes in ultra-pure alumina and ultrafine oxides. His innovative contributions in industrializing high-purity alumina using the alcohol aluminum method have advanced China’s materials industry. Dr. Wang has published over ten papers and holds eleven patents. His extensive research in sol-gel technology and catalysis underscores his impact in both academia and industry.

Publication Profile

Orcid

Education

🎓 Dr. Wang Chengmin graduated from East China University of Science and Technology in 2006 with a degree in Polymer Materials and Engineering. In 2009, he earned a Master’s degree in Materials Science from Dalian Jiaotong University. Currently, he is pursuing a PhD in Materials Science and Engineering through a joint program at Tsinghua University and Dalian Jiaotong University. His interdisciplinary academic background has equipped him with comprehensive knowledge and expertise in advanced materials research and development.

Experience

🛠️ Dr. Wang Chengmin has accumulated nearly 15 years of experience in research, industrialization, and technology transfer. He led the development of China’s first production line for high-purity alumina using the alcohol aluminum method. His work extends to aluminum-based porous catalysis, ceramics, aerogels, and colloidal materials. With deep expertise in sol-gel technology, Dr. Wang has significantly contributed to the commercialization of innovative materials and advanced manufacturing technologies.

Awards and Honors

🏆 Dr. Wang Chengmin’s impactful research and industrial achievements have earned him recognition in the field of materials science. With 11 authorized invention patents and over 10 research publications, he has established himself as a leader in ultra-pure alumina technology. His contributions to industrialization and technology transfer have been acknowledged through prestigious awards, reflecting his dedication to innovation and excellence in the field.

Research Focus

🔬 Dr. Wang Chengmin’s research focuses on ultra-pure alumina, ultrafine oxides, and sol-gel technology. He specializes in the industrial applications of aluminum-based porous catalysis, ceramics, aerogels, and colloidal materials. His pioneering work in the alcohol aluminum method has propelled advancements in high-purity alumina production. Through continuous exploration in materials science and engineering, Dr. Wang remains committed to developing innovative solutions for industrial challenges.

 

Publication Top Notes

Preparation of Large-Sized Flaky Al<sub>2</sub>O<sub>3</sub> for Thermally Conductive Fillers and Its Formation Mechanisms

 

Abdullah Eaysin | Composite material | Best Researcher Award

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Mr. Abdullah Eaysin | Composite material | Best Researcher Award

Mr. Abdullah Eaysin, Fervent multiboard industry ltd, Bangladesh

Mr. Abdullah Eaysin is a highly accomplished Industrial & Production Engineering graduate from Ahsanullah University of Science & Technology, with a CGPA of 3.764/4.00 and recognition on the Dean’s List. He has demonstrated strong leadership through his research, including leading a team in 2023 to optimize process parameters for laser beam machining using the ANFIS method, focusing on surface roughness and kerf width. In 2022, he led a project on designing an automatic can crusher, which improved efficiency and safety while reducing volume by 80%. His academic journey also includes excellent results in both HSC and SSC exams. 💡🎓🔧📈

 

Publication Profile

Scopus

Academic Excellence 🎓🌟

Mr. Abdullah Eaysin is a distinguished graduate in Industrial & Production Engineering from Ahsanullah University of Science & Technology (AUST), Dhaka, with a CGPA of 3.764/4.00, earning a spot on the Dean’s List. He also excelled in his Higher Secondary Certificate (HSC) with a GPA of 4.50/5.00 and achieved a perfect 5.00/5.00 GPA in his Secondary School Certificate (SSC) exams. His academic achievements reflect his dedication, passion, and strong foundation in engineering principles, making him a standout individual in his field. 📚🏅

 

Certifications in Manufacturing & Design 🏆🔧

Mr. Abdullah Eaysin has enhanced his knowledge and expertise with certifications in key areas of industrial engineering. In 2020, he completed the Advanced Manufacturing Process Analysis and Digital Manufacturing & Design courses through Coursera. These certifications have provided him with advanced insights into modern manufacturing techniques, digital design principles, and process optimization. His dedication to continuous learning and professional growth is evident in his pursuit of cutting-edge skills, positioning him as a well-rounded engineer prepared for the challenges in the field of industrial and production engineering. 💻🔩📈

 

Professional Experience 🛠️🔍

Mr. Abdullah Eaysin has gained valuable hands-on experience in diverse roles throughout his career. In 2022, he completed an industrial attachment at BSRM Steel Mills Ltd., where he worked on steel manufacturing, quality standards, and safety regulations. He then served as a Production Engineer at Universal LPG & Gas Cylinder (Dec 2023 – Apr 2024), overseeing production processes, ensuring cylinder quality, and implementing lean practices to improve efficiency. Currently, as an Intern in Supply Chain Management at Walton Hi-Tech Industries PLC (May 2024 – Ongoing), he analyzes material sourcing fluctuations, manages supplier relationships, and collaborates with production teams. 🏭📦

 

Research Focus

Mr. Abdullah Eaysin research primarily focuses on the optimization and prediction of surface quality and material removal rates in advanced manufacturing processes, particularly in electrical discharge machining (EDM) and laser beam machining. His work involves using methods such as Adaptive Neuro-Fuzzy Inference System (ANFIS) for process parameter optimization, particularly for materials like tungsten-copper alloys and AISI-P20 mold steel. This aligns with his interest in improving efficiency and precision in manufacturing techniques. His expertise covers topics like surface finish optimization, material behavior under machining conditions, and process optimization to enhance production outcomes. 🔧⚙️📊

 

Publication Top Notes

  • “Prediction and optimization of surface quality and material removal rate in wire-EDM cutting of tungsten–copper alloy (W70Cu30)” (2025) 🔩,
  • “Process parameter optimization of laser beam machining for AISI-P20 mold steel using ANFIS method” (2025) ⚙️, cited by 1.