Professor, Vice President, Shandong Jiaotong University, China
Peigang Jiao is a distinguished Professor at Shandong Jiaotong University, specializing in mechanical engineering, intelligent manufacturing, and numerical simulation. As a review expert for the National Natural Science Foundation of China and the Ministry of Science and Technology’s National Key R&D Program, he has significantly contributed to research and innovation. With over 20 published papers in SCI and EI-indexed journals, 32 major research projects, and nine authorized patents, he has left a remarkable imprint on the field of engineering. His dedication to advancing computational modeling and industrial applications has earned him numerous accolades in the academic and industrial sectors.
Publication Profile
Scopus
🎓 Academic Background
Peigang Jiao has been actively engaged in advanced research and teaching, focusing on computational simulation, mechanical systems, and robotics. His expertise spans smooth particle dynamics, virtual reality, and intelligent manufacturing. He has authored five books, reflecting his deep knowledge of engineering principles. As a leading researcher, he has played a pivotal role in shaping modern mechanical design strategies, contributing to both academia and industry through his innovative approaches to structural simulations and system optimizations.
💼 Professional Experience
With a strong foundation in engineering, Peigang Jiao has led multiple national and provincial research projects, including collaborations with the Shandong Provincial Department of Transportation and the Jining Science and Technology Bureau. His work on heat dissipation structures, intelligent excavators, and robotic applications has helped revolutionize mechanical manufacturing. As an editorial board member of EI-indexed journals and an expert reviewer for international conferences, he continues to influence the field of engineering and computational modeling through his extensive contributions and technical insights.
🏆 Awards and Honors
Peigang Jiao’s groundbreaking contributions have been recognized through numerous prestigious awards. He has received multiple Shandong Province Machinery Industry Science and Technology Progress Awards for his innovations in heat dissipation, robotic mechanisms, and intelligent control systems. His excellence in research and development has positioned him as a leading figure in China’s engineering community, further solidifying his reputation as a top researcher in mechanical and computational sciences.
🔬 Research Focus
Peigang Jiao’s research focuses on smooth particle hydrodynamics (SPH), numerical simulations, intelligent robotics, and mechanical system optimization. His studies on SPH-based modeling techniques have expanded the engineering applications of fluid dynamics and structural analysis. His research has been instrumental in solving critical challenges in vehicle dynamics, heat dissipation, and manufacturing technology. By integrating artificial intelligence with engineering systems, he continues to enhance the efficiency and accuracy of industrial processes, driving innovation in smart manufacturing and automation.
📚 Conclusion
Peigang Jiao is a pioneer in computational engineering and mechanical design, making significant advancements in numerical simulations and robotics. His contributions to SPH research, industrial automation, and mechanical engineering have had a lasting impact on academia and industry. With his dedication to scientific progress, innovative methodologies, and practical applications, he remains a key influencer in the global engineering community, shaping the future of intelligent manufacturing and mechanical system designs.
🔝 Top Publications
Numerical Simulation of Casting Filling Process Based on SPH-FEM Coupling Method
Optimization Simulation of Mooring System of Floating Offshore Wind Turbine Platform Based on SPH Method
Research on Oil Boom Performance Based on Smoothed Particle Hydrodynamics Method
Bearing Defect Detection Based on the Improved YOLOv5 Algorithm
CFM-YOLOV5: CFPNet Module and Multi-Target Prediction Head Incorporating YOLOv5 for Metal Surface Defect Detection
Road Surface Crack Detection Based on Improved YOLOv5s