Assoc. Prof. Dr Yajun Yin | Material Simulation Techniques | Best Researcher Award

Assoc. Prof. Dr Yajun Yin | Material Simulation Techniques | Best Researcher Award

Assoc. Prof. Dr. Yajun Yin is a distinguished researcher at the State Key Laboratory of Materials Processing and Die and Mould Technology, Huazhong University of Science and Technology, China. His expertise lies in digital and intelligent casting technologies, simulation industrial software, and digital management systems. With an extensive research portfolio, he has made significant contributions to the development of intelligent casting processes and simulation platforms, combining computational methods with industrial applications to advance modern manufacturing technology.

Assoc. Prof. Dr Yajun Yin | Huazhong University of Science and Technology | China

Profile

SCOPUS

Education

Assoc. Prof. Dr. Yajun Yin has built his academic career around the innovation and application of digital manufacturing technologies. He has served as an academic leader and consultant within the casting industry and holds influential roles in professional organizations. His active involvement in industrial collaborations and academic societies underscores his dedication to bridging theory and practice in advanced manufacturing.

Professional Experience 

Assoc. Prof. Dr. Yajun Yin serves at the State Key Laboratory of Materials Processing and Die and Mould Technology, Huazhong University of Science and Technology, Wuhan, China. His role involves research, teaching, and project leadership in materials science, focusing on digital and intelligent casting technologies. He has successfully directed major national and international research projects, including initiatives under the National Key Research and Development Program. His responsibilities encompass developing advanced simulation industrial software, digital management systems, and guiding innovation in manufacturing processes. He also mentors graduate students and collaborates extensively with industrial and academic partners to advance smart manufacturing solutions.

Research Achievements

Dr. Yin has undertaken or completed over 10 major projects, including the National Key Research and Development Program and National Natural Science Foundation of China grants, as well as international collaborations. He has published more than 30 research papers, authored 3 monographs, and secured 14 invention patents along with 22 software copyrights. His research has led to practical technological innovations, particularly in digital casting processes and intelligent simulation systems.

Awards and Recognitions

Dr. Yin has received the Second Prize of the National Science and Technology Progress Award (as the 5th contributor) and three provincial or ministerial-level first prizes (1st contributor for one and 2nd for two awards). These distinctions highlight his impactful contributions to material processing and casting simulation technology at both national and regional levels.

Research Focus

His primary research interests include the digital and intelligent technology of casting, simulation industrial software, and digital management systems. By integrating simulation and intelligent analysis into industrial applications, Dr. Yin addresses critical challenges in manufacturing, such as process optimization, defect reduction, and energy efficiency. His work has had a transformative effect on the modernization of casting technology and the promotion of smart manufacturing systems in China and beyond.

Publications

Dynamic recrystallization behavior of a novel duplex Ni-W-Co-Mo medium-heavy alloy
Journal: Intermetallics (2025)

Multi-area vibration precision laying process in multi-material 3D sand printing
Journal: Additive Manufacturing Frontiers (2025)

Electronic Modulation and Active Site Exposure Using C60 Fullerenolamine Enable High-Performance Alcohol Oxidation on Pd Metallene Catalysts
Journal: Angewandte Chemie International Edition (2025)

Formation of Laves Phase and Its Effect on Microstructure and Mechanical Properties of Ti8Zr6Nb4V5Crx Lightweight High-Entropy Alloys
Journal: Steel Research International (2025)

Microstructure evolution and mechanical properties improvement of (Ti8Zr6Nb4V5Cr4)100−xAlx lightweight high-entropy alloy by Laves phase transformation
Journal: Journal of Iron and Steel Research International (2025)

Enhanced detection and prediction of concrete filling defects with deep learning
Journal: Construction and Building Materials (2025)

Phase Transition and Lamellar Formation of Ti-48Al-2Cr-2Nb Alloy Based on High-temperature Laser Scanning Confocal In-situ Analysis
Journal: Tezhong Zhuzao Ji Youse Hejin (Special Casting and Nonferrous Alloys) (2025)

Numerical Simulation Study on Cooperative Growth of Multiisland Pearlite in Fe–C Alloys
Journal: Steel Research International (2025)

Toward Understanding of the No-bake Resin Pyrolysis Mechanism during Sand Casting Process
Journal: International Journal of Metalcasting (2025)

Effect of Multi-material Composite Sand Mold on Macro- and Micro-properties of 316 Stainless Steel
Journal: International Journal of Metalcasting (2025)

Conclusion

Assoc. Prof. Dr. Yajun Yin demonstrates an outstanding blend of academic expertise, technological innovation, and industrial impact. With numerous research projects, high-value patents, software copyrights, and prestigious national awards, he represents an exemplary figure in intelligent manufacturing research. His contributions to the digital transformation of casting processes and simulation-based technologies make him a highly deserving candidate for the Best Researcher Award.

Assoc. Prof. Dr Rui Wang | Material Simulation Techniques | Material Scientist Award

Assoc. Prof. Dr Rui Wang | Material Simulation Techniques | Material Scientist Award

Assoc. Prof. Dr. Rui Wang is a renowned researcher in computational mechanics and intelligent mesh processing, currently a Lecturer at Ningbo University and a Postdoctoral Researcher at Tianjin University 🏛️. He holds a Ph.D. in Engineering from Zhejiang University and specializes in hexahedral meshing, AI-driven mesh optimization, and intelligent manufacturing systems ⚙️. His research has led to breakthroughs in simulation accuracy and structural optimization, benefiting engineering, aerospace, and industrial sectors 🚀. With high-impact publications and national research grants, Dr. Wang is a leading innovator in CAD/CAE and computational modeling 🏆✨.

Assoc. Prof. Dr Rui Wang, Ningbo University, China

Profile

SCOPUS

Education🎓

Assoc. Prof. Dr. Rui Wang earned his Ph.D. in Engineering from Zhejiang University in December 2017, under the supervision of Prof. Shuming Gao 🏛️. His doctoral research focused on automatic generation of high-quality hexahedral meshes, developing innovative methods in block decomposition and topological optimization 🖥️. His work introduced advanced algorithms for mesh generation and enhancement, improving computational accuracy in engineering simulations ⚙️. Prior to that, he completed his Bachelor’s degree in Science at Shandong Normal University in June 2011, where he built a strong foundation in mathematical modeling and computational geometry 🔬✨.

Experience 🏛️

Assoc. Prof. Dr. Rui Wang has been a Lecturer at the Faculty of Mechanical Engineering & Mechanics, Ningbo University since 2018 📚. He teaches undergraduate courses in Systems Engineering and Human Factors Engineering, as well as a graduate course in Intelligent Control of Manufacturing Systems ⚙️. Since 2022, he has also served as a Postdoctoral Researcher at Tianjin University’s School of Mechanical Engineering, focusing on advanced computational mechanics and intelligent manufacturing 🖥️. His academic career is marked by innovative research, high-impact teaching, and mentoring students in cutting-edge engineering technologies 🎓✨.

Research Focus 🔬

Assoc. Prof. Dr. Rui Wang’s research focuses on computational mechanics, intelligent mesh processing, and AI-driven simulations 🖥️. He specializes in hexahedral meshing, topological optimization, and advanced rendering techniques for engineering simulations and visual computing ⚙️. His work includes adaptive sampling for gradient-domain rendering, neural rendering in dynamic scenes, and singularity structure optimization 🔍. Additionally, he explores machine learning applications in manufacturing, logistics optimization, and microscopy image analysis 🤖. His multidisciplinary approach integrates engineering, AI, and computational geometry, making significant contributions to CAD/CAE, visual computing, and intelligent manufacturing 🚀✨.

📑 Publications

Product surface quality inspection method based on VGG16-SVM-SSA

  • Authors: W. Zhong, H. Zhan, Y. Lin, J. Yu, R. Wang
  • Journal: Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems (CIMS) 📊🛠️

Synchronized optimization of the logistics system of a tobacco high-bay warehouse under production task fluctuations

  • Authors: J. Gao, W. Xie, D. Shi, J. Wu, R. Wang
  • Journal: Engineering Research Express ⚙️📦

No enhancement of vestibular stimulation on visual working memory for actions

  • Authors: L. Hu, Z. Gao, Q. Gao, R. Wang
  • Journal: Scientific Reports 🧠🔬

Adaptive sampling and reconstruction for gradient-domain rendering

  • Authors: Y. Liang, T. Liu, Y. Huo, R. Wang, H. Bao
  • Journal: Computational Visual Media 🎮🖥️

Real-Time Polygonal Lighting of Iridescence Effect using Precomputed Monomial-Gaussians

  • Authors: Z. Liu, Y. Huo, Y. Yang, J. Chen, R. Wang
  • Journal: Computer Graphics Forum 🎨💡

LightFormer: Light-Oriented Global Neural Rendering in Dynamic Scene

  • Authors: H. Ren, Y. Huo, Y. Peng, R. Wang, H. Bao
  • Journal: ACM Transactions on Graphics 🖼️💻

Refined tri-directional path tracing with generated light portal

  • Authors: X. Wei, G. Pu, Y. Huo, H. Bao, R. Wang
  • Journal: The Visual Computer 🌐📸