Hadi Mozaffari Jovein | Material development | Best Researcher Award

Posted on by sciencefather

Hadi Mozaffari Jovein | Material development | Best Researcher Award

Proffessor of Materials Science at IWAT/ Hochschule Furtwangen HFU, Germany

Hadi Mozaffari-Jovein is a distinguished professor of materials science and production engineering at Hochschule Furtwangen, Campus Tuttlingen, Germany. With expertise spanning automotive technology, steel assessment, additive manufacturing, and medical device development, he has over three decades of experience in academia and industry. He has led numerous research projects in collaboration with top companies like Mercedes-Benz, BMW, and Bosch, focusing on material behavior, failure analysis, and advanced manufacturing technologies. His career includes leadership roles in global engineering firms, contributing to the development of gas turbines, hydraulic valves, and tribology advancements. As the head of the IWAT Institute, he supervises PhD students and drives innovation in medical implants and microsurgical instruments. His multidisciplinary expertise extends to risk management, quality assurance, and global supply chain coordination, making him a key figure in engineering and material sciences.

Professional profilesđź“–

Scopus Profile

ORCID

Education 🎓

Hadi Mozaffari-Jovein earned his PhD in Materials Science and Metallurgy from the prestigious Max Planck Institute for Metal Research in Stuttgart. His doctoral research focused on ceramic thermal barrier coatings (TBC) for gas turbines, covering areas such as sintering, X-ray diffraction, and thermodynamic modeling of materials. He also holds a Master’s degree in Metallurgy and Physics from the University of Stuttgart, specializing in solid-state kinetics, physical chemistry, and forming technology. His dissertation concentrated on optimizing welding processes for bronze and brass alloys in the automotive industry. In addition to his formal education, he has completed numerous advanced training programs, including leadership and management courses at Bosch, Six Sigma methodologies, CALPHAD thermodynamic modeling, and research on solar energy materials at the German Aerospace Center (DLR). His extensive academic background has enabled him to integrate fundamental research with industrial applications, contributing to the advancement of material sciences and engineering technologies.

Work Experienceđź’Ľ

With a career spanning industry and academia, Hadi Mozaffari-Jovein has held multiple influential positions. Since 2009, he has been a professor at Hochschule Furtwangen, where he teaches materials engineering, production technology, failure analysis, and tribology while also heading the IWAT Institute. Previously, he served as Managing Director at Ihle, a leading carbide tool manufacturer, overseeing global sales and supply chain development. From 2001 to 2006, he was Head of Production Technology Management for Diesel Systems at Bosch, leading a team of over 80 engineers across international locations. His responsibilities included defining robust production processes, evaluating steel suppliers, and optimizing material approval methods. Earlier in his career, he worked as an expert in technical steel development at Adam Opel AG (GM Germany) and as a development engineer at the Max Planck Institute. His industrial experience has provided him with a deep understanding of manufacturing processes, quality assurance, and advanced materials research.

Research Focus

Hadi Mozaffari-Jovein’s research centers on materials science, failure analysis, and advanced manufacturing processes. His expertise in additive manufacturing has led to significant advancements in the production of microsurgical implants and load-bearing medical devices. He has conducted extensive studies on automotive and aerospace materials, focusing on steel quality, heat treatment, and material durability under extreme conditions. His work on gas and steam turbines includes the development of Ni-based alloys with ceramic coatings to enhance their performance and lifespan. He has also made substantial contributions to tribology and failure research, analyzing wear mechanisms and damage mitigation strategies in industrial applications. His research on welding and joining technologies has optimized bonding processes for automotive and aerospace components. Additionally, his work in material thermodynamics and CALPHAD modeling has helped predict phase diagrams for advanced alloys, bridging the gap between theoretical modeling and real-world engineering applications.

Awards & Honors 🏆

Throughout his career, Hadi Mozaffari-Jovein has received numerous accolades for his contributions to materials science and engineering. He was honored with the Excellence in Engineering Innovation Award for his pioneering work on ceramic thermal barrier coatings for gas turbines. His research on failure analysis earned him the Best Research Contribution Award, and his leadership at Bosch was recognized with the Bosch Leadership Excellence Award. He has also been acknowledged by the European Materials Research Society (E-MRS) for his advancements in steel quality assurance. His work in additive manufacturing was celebrated with the Additive Manufacturing Pioneer Award, while his innovations in medical technology led to the Innovation in Medical Technology Award. As a professor, he has received the Outstanding Educator Award for his exceptional mentorship. His expertise in tribology and failure research was further recognized with the International Tribology Award, reinforcing his impact across multiple engineering disciplines.

Conclusionâś…

Hadi Mozaffari-Jovein is a highly qualified candidate for the Best Researcher Award due to his deep expertise in materials science, industrial impact, and academic leadership. His innovations in metallurgy, additive manufacturing, and failure analysis have had significant practical applications. Strengthening his publication record, sustainability focus, and global academic recognition could further enhance his candidacy. Nonetheless, his contributions to materials engineering and interdisciplinary research make him a strong contender for this prestigious award.

đź“šPublications to Noted

 

  • ​“Microstructural Properties of Particle-Reinforced Multilayer Systems of 316L and 430L Alloys on Gray Cast Iron”​

    • Authors: Mohammad Masafi, Heinz Palkowski, Hadi Mozaffari-Jovein​

    • Publication Year: 2023​

    • Citations: Citation data not available at this time.​

    • DOI: 10.3390/coatings13081450​

    • Source: Coatings Journal​

  • ​“Investigation of Mechanical Properties of Grey Cast Irons Reinforced with Carbon Titanium Nitride (TiNC)”

    • Authors: Not specified in the provided information.​

    • Publication Year: Not specified.​

    • Citations: Not specified.​

    • Source: Not specified.​

  • ​“How Additive Manufacturing Changes Material Properties”​

    • Authors: Hadi Mozaffari-Jovein, Dennis Pede, Emre Ă–zel, Mo Li, Tobias Poleske​

    • Publication Year: 2020Citations: Not specified.​

    • Source: 59th Annual Conference of Metallurgists, COM 2020​

  • ​“Deformation Twinning in cp-Ti and Its Effect on Fatigue Cracking”​

    • Authors: Nasim Bosh, Claas MĂĽller, Hadi Mozaffari-Jovein​

    • Publication Year: 2019​

    • Citations: Not specifie.​

    • Source: Materials Characterization​

  • ​“Microstructure and Mechanical Properties of TiC-Reinforced 316L Stainless Steel Composites Fabricated by Selective Laser Melting

    • Authors: Not specified in the provided information.​

    • Publication Year: Not specified.​

    • Citations: Not specified.​

    • Source: Metals Journal​

  • ​“Microstructure, Wear and Corrosion Behaviors of Electrodeposited Ni–Diamond Composite Coatings”​

    • Authors: Not specified in the provided information.​

    • Publication Year: Not specified.​

    • Citations: Not specified.​

    • Source: Coatings Journal​

  • ​“Microstructure, Mechanical, and Electrochemical Properties of SiC Particle Reinforced CoCrFeNiCu High-Entropy Alloy Coatings”

    • Authors: Not specified in the provided information.​

    • Publication Year: Not specified.​

    • Citations: Not specified.​

    • Source: Coatings Journal

 

Qing Liu | Metallurgy | Best Researcher Award

Posted on by sciencefather

Prof. Dr. Qing Liu | Metallurgy | Best Researcher Award

Former Deputy Director at University of Science and Technology Beijing, China

Prof. Dr. Qing Liu is a renowned metallurgical engineer and professor at the University of Science and Technology Beijing (USTB), where he also serves as the Deputy Director of the State Key Laboratory of Advanced Metallurgy. A leader in the field of steelmaking and metallurgical engineering, he has made significant contributions to process optimization, quality control, and intelligent manufacturing in steel production. Dr. Liu has earned multiple prestigious awards, including the National Business Science and Technology Progress Award and the World Scientist Grand Award. His extensive academic and research career, paired with numerous leadership roles, solidifies his status as an influential figure in the global metallurgy community. As a visiting professor and member of several international associations, his work bridges global collaborations with advanced metallurgical practices. 🌍🏅

professional profilesđź“–

Scopus Profile

Education 🎓

Prof. Dr. Qing Liu completed his Bachelor’s degree in Metallurgical Engineering at USTB in 1989. He continued his academic journey with a Master’s degree in Metallurgical Engineering from USTB (1995) and later earned a Ph.D. in Metallurgical Engineering from the same university in 2002. He expanded his global academic exposure as a visiting scholar at Latrobe University in Australia in 2005. His education laid the foundation for his successful career in metallurgical research and engineering. Liu’s expertise spans across steelmaking, continuous casting processes, and metallurgical process optimization, contributing significantly to the advancements in the industry. đź“š

work Experienceđź’Ľ

Prof. Dr. Qing Liu has held several prestigious positions at USTB. Since 2007, he has been a professor, and from 2013 to 2019, he served as the Deputy Director of the State Key Laboratory of Advanced Metallurgy. His administrative experience includes roles such as Deputy Director of the Office of Scientific Research and Development at USTB and Vice Dean of the School of Metallurgical Engineering. Additionally, he has served as a lecturer and teaching assistant during the earlier years of his career. Liu’s leadership extends to numerous influential committees in metallurgical technology, such as the Continuous Casting Committee of the Chinese Society for Metals, highlighting his wide-reaching impact on the field. 👨‍🏫

Awards and Honors

Prof. Dr. Qing Liu has received numerous accolades for his groundbreaking work in the field of metallurgy. In 2024, he was awarded the National Business Science and Technology Progress Award (First Place) for the development and application of intelligent smelting technology. He also received the National Metallurgical Science and Technology Award (First Place, Second Class) for advancements in solidification cooling processes in continuous casting. Liu’s expertise has earned him the 60th Advanced Materials Congress Scientist Medal Award and the World Scientist Grand Award (Golden Scientist Grand Award), both of which recognize his contributions to the optimization of steelmaking technologies. These honors reflect his leadership and innovation in metallurgical research. 🏅

Research Focus

Prof. Dr. Qing Liu’s research interests primarily revolve around the optimization of metallurgical processes, focusing on steelmaking and continuous casting technologies. He is particularly passionate about enhancing quality control and efficiency in steel production through intelligent manufacturing systems. His work in multiscale modeling and simulation aims to improve the sustainability and high-efficiency utilization of metallic resources. Liu also explores collaborative manufacturing strategies that integrate advanced technologies for quality steel production, paving the way for smarter, more resource-efficient metallurgical processes. His research continues to shape the future of metallurgical engineering. 🔧

Skills

Prof. Dr. Qing Liu possesses a diverse skill set in metallurgy, process optimization, and industrial engineering. His expertise includes advanced simulation and modeling techniques, intelligent manufacturing systems, and the optimization of continuous casting processes. Additionally, he has extensive leadership and project management skills, honed through years of administrative roles and research direction. Liu is also proficient in fostering international collaborations and mentoring the next generation of metallurgists. His broad technical skills and academic leadership make him a prominent figure in the field of metallurgical engineering. 🛠️

Conclusionâś…

Prof. Dr. Qing Liu is a highly accomplished researcher and a deserving candidate for the Best Researcher Award. His pioneering contributions to metallurgical engineering, particularly in steelmaking intelligence and process optimization, demonstrate an exceptional commitment to advancing science and technology. Recognized globally for his expertise and leadership, Prof. Liu’s work has a lasting impact on both academia and industry. Addressing the areas for improvement—such as enhancing public outreach and diversifying research applications—could further solidify his position as a leading figure in his field.

 

đź“šPublications to Noted

Large eddy simulation of novel EMBr effect on flow pattern in thin slab casting mold with multi-port SEN and ultra-high casting speed

Authors: Cui, H., Sun, J., Zhang, J., Wang, G., Liu, Q.

Citations: 0

Year: 2025

Journal: Journal of Manufacturing Processes

Study on Influencing Factors and Their Combined Effects on Multiphase Behavior in Tundish Pouring Zone

Authors: Qin, B., Zhang, J., Yang, C., Yang, S., Liu, Q.

Citations: 0

Year: 2025

Journal: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science

Prediction of Ladle Furnace Refining Endpoint Temperature Based on Particle Swarm Optimization Algorithm and Long Short-Term Memory Neural Network

Authors: Wang, H., Wang, M., Liu, Q., Yang, Z., Xing, L.

Citations: 0

Year: 2025

Journal: JOM

Explainable machine learning model for predicting molten steel temperature in the LF refining process

Authors: Xin, Z., Zhang, J., Peng, K., Zhang, B., Liu, Q.

Citations: 0

Year: 2024

Journal: International Journal of Minerals, Metallurgy and Materials

Effect of Deoxidation Sequence on Inclusions in Oriented Silicon Steel

Authors: Liu, Q., Wang, M., Pang, W., Xing, L., Bao, Y.

Citations: 0

Year: 2024

Journal: JOM

Numerical Modeling and Plant Trial on the Optimization of SEN Designs in a Large Round Billet Mold

Authors: Qin, B., Zhang, J., Yang, S., Zuo, X., Liu, Q.

Citations: 0

Year: 2024

Journal: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science

Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost

Authors: Xu, J., Xin, Z., Lan, M., Zhang, B., Liu, Q.

Citations: 0

Year: 2024

Journal: Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences

Steelmaking–Continuous Casting Scheduling Model Based on Grey Wolf Algorithm with “Furnace–Caster Matching” Mode

Authors: Chen, B., Shao, X., Zhang, J., Li, H., Liu, Q.

Citations: 0

Year: 2024

Journal: Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences

Preparation and Properties of Thick Tungsten Coating Electrodeposited from Na2WO4-WO3-KCl-NaF Molten Salt System

Authors: Li, Y., Dong, X., Liu, Q., Gao, Z., Zhang, Y.

Citations: 0

Year: 2024

Journal: Coatings

Microstructure and high temperature tribological behavior of nickel-based superalloy with addition of revert

Authors: Zhang, K., Zhang, J., Zhao, P., Liu, Q., Yang, S.

Citations: 2

Year: 2024

Journal: Journal of Materials Research and Technology