Prof. Yunxia Chen | Intelligent Manufacturing | Best Researcher Award

Prof. Yunxia Chen | Intelligent Manufacturing | Best Researcher Award

School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, China

Dr. Yunxia Chen is a distinguished professor at Shanghai Polytechnic University, specializing in Materials Science and Engineering. With a Ph.D. from Shanghai Jiaotong University, Dr. Chen has an extensive academic and professional background in advanced welding technologies and materials science. Throughout his career, he has contributed to the field with research focused on the weldability of dissimilar metals, microstructure and mechanical properties of welded joints, and cutting-edge welding technologies. Dr. Chen has worked as a professor, associate professor, and postdoctoral researcher, and has extensive industrial experience as a welding engineer. His academic journey is complemented by his roles in organizing significant international conferences and publishing numerous impactful research papers.

Publication Profile

Scopus

Education:

Dr. Yunxia Chen earned his Ph.D. in Materials Science and Engineering from Shanghai Jiaotong University in 2010, under the supervision of Prof. Shun Yao. His thesis titled “Research of Rapid Prototyping System Based On 3D Scanning Electron Beam” reflects his focus on advanced manufacturing technologies. He completed his M.Sc. in the same field from Dalian Jiaotong University in 2005, where he worked under Prof. Xiongming Zhang on the “Electric Control Study of Conform Production Line Drawing and Rolling Machine.” He received his B.Eng. in Materials Science and Engineering from Dalian Jiaotong University in 1999.

Experience:

Dr. Yunxia Chen has held several prominent academic and professional positions. Since 2024, he has been serving as a professor at Shanghai Polytechnic University. Prior to that, he was an Associate Professor and Professor at Shanghai Dianji University from 2015 to 2023. Dr. Chen also held a postdoctoral position at Shanghai Jiaotong University from 2013 to 2015. Early in his career, he worked as a Welding Engineer at Changchun Railway Vehicles Co., Ltd., from 1999 to 2002. Dr. Chen has also contributed to the academic community by interviewing for significant international conferences, including the 4th International Conference on Robotic Welding, Intelligence, and Automation, in 2014.

Awards and Honors:

Dr. Yunxia Chen’s work has earned him several accolades, reflecting his excellence in research and teaching. He has received awards for his contributions to the field of welding and materials science, including recognition at international conferences and accolades for his innovative research in welding technologies. His research excellence has made a significant impact in both academic and industrial sectors.

Research Focus:

Dr. Chen’s primary research interests lie in the weldability of metals, particularly dissimilar metal welding, and the microstructural and mechanical properties of welded joints. He has extensively explored advanced welding technologies and the effects of welding processes on material properties. His work is pivotal in understanding the behavior of metals during welding and the challenges associated with improving the quality and strength of welded joints. Dr. Chen also investigates the role of microstructure in determining the mechanical properties and performance of materials used in welding.

Conclusion:

Dr. Yunxia Chen’s career stands as a testament to his dedication to advancing materials science and welding technology. His innovative research has paved the way for improvements in the welding industry, addressing both practical and theoretical challenges. Through his academic roles, industrial experience, and research endeavors, Dr. Chen continues to make significant contributions to the field, impacting both the scientific community and industrial practices.

Publications:

Detection of Welding Defects Tracked by YOLOv4 Algorithm
Published: 2025, Applied Sciences
Link: DOI: 10.3390/app15042026

NiFe2O4/Polypyrrole Metacomposites with Tunable Negative Permittivity for Enhanced Electromagnetic Wave Adsorption
Published: 2022, Journal of Materials Science & Technology
Link: Journal of Materials Science & Technology, 108:64-72

Hot Compression Bonding Behavior and Constitutive Model of Spray Deposited 2195 Al-Cu-Li Alloy
Published: 2023, Vacuum
Link: DOI: 10.1016/j.vacuum.2023.111896

A Comparative Study on Microstructural Characterization of Thick High Strength Low Alloy Steel Weld by Arc Welding and Laser Welding
Published: 2023, Materials
Link: Materials 2023, 16, 2212

Microstructure Characterization and Wear Performance of WC-10Co/Ti-6Al-4V Coating Fabricated via Electron Beam Cladding
Published: 2021, Surface and Coatings Technology
Link: DOI: 10.1016/j.surfcoat.2021.127493

Effect of Temperature and Hold Time of Induction Brazing on Microstructure and Shear Strength of Martensitic Stainless Steel Joints
Published: 2018, Materials
Link: DOI: 10.3390/ma1111586

Role of Reversed Austenite Behavior in Determining Microstructure and Toughness of Advanced Medium Mn Steel by Welding Thermal Cycle
Published: 2018, Materials
Link: DOI: 10.3390/ma112127

Metallurgical and Mechanical Properties of Fibrous Laser Welded Thick Q890 High Strength Low Alloy Steel with Varying Weld Geometries
Published: 2022, Journal of Materials Engineering and Performance
Link: DOI: 10.1007/s11665-021-06516-3

Babar Ashfaq | Manufacturing | Best Researcher Award

Dr. Babar Ashfaq | Manufacturing | Best Researcher Award 

Research Assistant, GiKI, Pakistan

Babar Ashfaq is a passionate researcher and educator specializing in Additive Manufacturing, Computational Mechanics, and Design Optimization. Currently pursuing a PhD in Mechanical Engineering at the Ghulam Ishaq Khan Institute, he has a strong foundation in high-velocity impact on composites from his MS at the International Islamic University. Babar is dedicated to advancing engineering through innovative research and teaching.

Publication Profile

Google scholar

Education

Babar holds a PhD in Mechanical Engineering from the Ghulam Ishaq Khan Institute of Engineering Sciences & Technology, where he has maintained a CGPA of 3.50. He also completed his MS and BS in Mechanical Engineering at the International Islamic University, with CGPAs of 3.80 and 3.52, respectively. His educational background equips him with a solid understanding of mechanical principles and advanced manufacturing techniques. 📚🎓

Experience

As a Graduate Research Assistant at the Ghulam Ishaq Khan Institute, Babar assists faculty with academic and administrative duties and teaches various courses, including Stress Analysis and Additive Manufacturing. He has also served as a Lab Engineer at the University of Lahore and a Visiting Lecturer at the International Islamic University, enriching his teaching and engineering experience. 🛠️👨‍🏫

Research Focus

Babar’s research focuses on Additive Manufacturing and Computational Mechanics, particularly in the development of innovative auxetic structures and the mechanical characterization of 3D printed materials. His work aims to enhance structural performance through geometric optimization and advanced material modeling techniques. 🔬💡

Awards and Honours

Babar has been actively involved in organizing conferences and workshops, including the 2nd International Conference on Modern Technologies in Mechanical & Material Engineering (MTME 2024) and various symposiums on materials technology. His contributions have been recognized through his participation as a speaker and moderator at prestigious events. 🏆🎤

Publication Top Notes

Babar Ashfaq has authored several noteworthy publications, including:

A novel design of mono and bi-cells based hybrid auxetic structures and assessment of their compressive properties. Journal of Materials Research and Technology, 2024. Link

Mechanical Characterization of Innovative 3D-printed Auxetic (NPR) Structures: Role of Considering Anisotropy on Accuracy of Numerical Modelling. Journal of Materials Research and Technology, 2024. Link

Geometric optimization of additively manufactured hybrid auxetic structures for enhanced compression performance via Taguchi approach. Additive Manufacturing, 2024. (Submitted)

Enhancing Structural Design: Anisotropic Material Modeling for Additively Manufactured Auxetic Structures. Scientific Reports, 2024. (Submitted)

Impact Resistance of GLARE Composites in Aerospace: A Finite Element Analysis of Bird Strike Scenarios. Journal of Advanced Mechanical Design Systems and Manufacturing, 2024. (Submitted)