Zicheng Xin | intelligentialization | Best Researcher Award

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Dr. Zicheng Xin | intelligentialization | Best Researcher Award

postdoctor, University of Science and Technology Beijing, China

Zicheng Xin is a renowned researcher and visiting professor at the Korea Invention Academy. He is affiliated with the University of Science and Technology Beijing (USTB) and has made significant contributions to the field of metallurgical engineering. His research focuses on metallurgical process engineering, intelligence, and simulation.

Profile

scopus

Education 🎓

Ph.D. in Metallurgical Engineering, State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing (USTB) (2018-2022)

Experience 🧪

Visiting Professor, Korea Invention Academy (current)  Researcher, State Key Laboratory of Advanced Metallurgy, USTB (current)

Awards & Honors🏆

“Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award — Golden Scientist Grand Award (Second Place, International Federation of Inventors’ Associations, 2023) “Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award— Science & Technology Grand

Research Focus 🔍

Metallurgical process engineering and intelligence  Simulation and optimization of metallurgical process

Publications📚

1. Analysis of multi-zone reaction mechanisms in BOF steelmaking and comprehensive simulation [J]. Materials, 2025, 18(5): 1038. – Zicheng Xin, Qing Liu, Jiangshan Zhang, et al.
2. Modeling of LF refining process: a review [J]. Journal of Iron and Steel Research International, 2024, 31(2): 289-317. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
3. Explainable machine learning model for predicting molten steel temperature in LF refining process [J]. International Journal of Minerals, Metallurgy and Materials, 2024, 31(12): 2657-2669. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
4. Predicting temperature of molten steel in LF refining process using IF-ZCA-DNN model [J]. Metallurgical and Materials Transactions B, 2023, 54(3): 1181-1194. – Zicheng Xin, Jiangshan Zhang, Junguo Zhang, et al.
5. Predicting the alloying element yield in a ladle furnace using principal component analysis [J]. … – Zicheng Xin, Jiangshan Zhang, Yu Jin, et al.

Conclusion

Zicheng Xin’s academic excellence, research focus, and international recognition make him a strong candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make significant contributions to the field of metallurgy.

Maohua Du | mechanical engineering and biomedical sciences | Outstanding Scientist Award

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Dr. Maohua Du | mechanical engineering and biomedical sciences | Outstanding Scientist Award

Professor, Kunming University of Science & Technology, China

Maohua Du is a Professor at the Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology. He received his Ph.D. in Mineral Processing Engineering from Kunming University of Science and Technology in 2008. His research focuses on finite element modeling, numerical simulation, and experimental investigation of high-speed machining processes.

Profile

scopus

Education 🎓

B.S. in Mechanical Engineering, Kunming University of Science and Technology, China (1989) M.S. in Mechanical Engineering, Kunming University of Science and Technology, China (1992) Ph.D. in Mineral Processing Engineering, Kunming University of Science and Technology, China (2008)

Experience 🧪

Assistant, Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, China (1992-1994)  Lecturer, Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, China (1994-2001) Associate Professor, Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, China (2001-2022)  Professor, Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, China (2022-present)

Awards & Honors �

Second Prize, Yunnan Provincial Natural Science Award (2022) Second Prize, Classroom Teaching Competition at Kunming University of Science and Technology (2016)  Excellent Class Teacher, Kunming University of Science and Technology (1999)

Research Focus 🔍

Finite Element Modeling: Developing finite element models for high-speed machining processes.  Numerical Simulation: Conducting numerical simulations to investigate the mechanics of high-speed machining.. Experimental Investigation: Experimentally investigating the effects of high-speed machining on tool wear and material properties. . Tool Wear Reduction: Developing strategies to reduce tool wear during high-speed machining.  Parameters Optimization: Optimizing machining parameters to improve process efficiency and product quality.

Publications📚

Numerical simulation and experimental verification on heat-flow coupling during laser cladding of 420 stainless steel  1 Citations

Conclusion 🏆

Maohua Du’s impressive academic and research experience, interdisciplinary research approach, awards and honors, teaching experience, and research output make him a strong candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make a significant impact in his field.

Salvatore Garofalo | Smart Materials and Artificial Muscles | Best Researcher Award

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Mr. Salvatore Garofalo | Smart Materials and Artificial Muscles | Best Researcher Award

PhD scholar, University of Calabria, Italy

Salvatore Garofalo is a PhD candidate in Civil and Industrial Engineering at the University of Calabria, Italy, specializing in smart materials and artificial muscles. He holds a Master’s (2023) and Bachelor’s (2020) in Mechanical Engineering, both with top honors. His research focuses on thermo-electro-mechanical behavior and the fatigue properties of nanostructured materials. He has been a visiting PhD scholar at Iowa University, contributing to advancements in Twisted and Coiled Artificial Muscles (TCAMs). Garofalo has published multiple peer-reviewed papers and won awards for his innovative research.

Profile

Education 🎓

PhD (2023–2026, Ongoing): Civil & Industrial Engineering, University of Calabria, Italy – Research in smart materials & artificial muscles. Master’s (2020–2023): Mechanical Engineering, University of Calabria – Thesis on fatigue behavior of nanostructured polymers. Bachelor’s (2017–2020): Mechanical Engineering, University of Calabria – Thesis on fatigue in composite materials. Secondary Diploma (2013–2017): Liceo Scientifico, Italy – Scientific high school graduate with top honors.

Experience 💼

Visiting PhD Scholar (2025): Iowa University, USA – Research on improving TCAMs. Teaching Assistant (2023–2025): University of Calabria – Courses on Mechanics of Materials. PhD Student Representative (2023–2026): University of Calabria – Institutional role. Internship (2022): Safran Aircraft Engines, France – Fatigue analysis of polymers & nanocomposites. Study Abroad (2015): ISIS Greenwich School, UK – English language & cultural immersion.

Awards & Honors 🏆

Best Poster Award (2024): General Meeting Age-It 2024, University of Venice, Italy. Best Poster Award (2023): 8th World Congress on Advanced Materials, Thailand. Internship at Safran Aircraft Engines (2022): Selected for a competitive role in polymer fatigue research. Top Academic Honors: Achieved highest distinction in Bachelor’s, Master’s, and secondary education.

Research Focus 🔬

Smart Materials & Artificial Muscles: Investigating thermo-electro-mechanical properties of TCAMs. Fatigue Behavior of Nanostructured Polymers: Enhancing durability of composite materials for aeronautics. Biomedical Applications: Exploring artificial muscles for rehabilitation devices. Finite Element Modeling: Simulating fatigue resistance of polymer matrix composites. All-Optical Actuation Systems: Developing non-contact control strategies for artificial muscles.

Publications

Production Parameters and Thermo-Mechanical Performance of TCAMs (Eng. Proc., 2025).

A Critical Review of Upper-Limb Rehabilitation Devices (Robotics and Autonomous Systems, 2025).

Transitioning to Artificial Muscles in Rehabilitation (J. Intelligent Material Systems, 2024).

Fatigue Behavior of Nanostructured Epoxy Composites (J. Reinforced Plastics, 2024).

 

Conclusion

Salvatore Garofalo is a highly promising researcher in smart materials and artificial muscles, with a strong academic foundation, innovative research contributions, and international exposure. His awards, publications, and industry experience position him as a strong candidate for the Best Researcher Award. By expanding collaborations, securing patents, and broadening research applications, he could further solidify his standing as a leader in his field.