Mr. Yixiang Xu | Computational fluid mechanics | Research Excellence Award

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Mr. Yixiang Xu | Computational fluid mechanics | Research Excellence Award

Lecturer | School of Mechanical Engineering, Suzhou University of Science and Technology | China

Mr. Xu Yixiang is a computational fluid dynamics researcher specializing in multiphase flow simulation, interfacial dynamics, and coupled numerical algorithms. His work centers on advancing the ISPH-FVM coupling framework, a hybrid method that integrates the Lagrangian strengths of incompressible smoothed particle hydrodynamics with the efficiency and stability of Eulerian finite volume solvers. Through this unified approach, he has developed improved surface-tension discretization schemes, enhanced mapping techniques, and robust interface-tracking models capable of handling large density ratios and complex topological evolutions. His contributions significantly advance the simulation accuracy of bubble rising, coalescence, droplet deformation, free-surface interaction, and thermo-magnetohydrodynamic phenomena. Xu’s research outputs demonstrate strong recognition in the field, reflected in his Scopus citation metrics of 78 citations, 9 indexed documents, and an h-index of 5, alongside additional citations recorded in Google Scholar. Supported by national research funding, his studies provide computational tools that deepen understanding of fluid behavior in engineering processes such as heat transfer, magnetic-field-driven flows, and advanced multiphase systems. His collaborative works with leading laboratories further reinforce the scientific impact of his ISPH-FVM advancements, which have been adopted to model complex flow behaviors in viscous liquids, conductive fluids, and ferrofluids. Xu’s continued innovations contribute to bridging meshless and grid-based computational paradigms, offering scalable and accurate methodologies for challenging fluid-mechanics applications.

Profile

Scopus 

Featured Publications 

Xu, Y., Yang, G., et al. (2023). A three-dimensional ISPH-FVM coupling method for simulation of bubble rising in viscous stagnant liquid. Ocean Engineering, 278, 114497. (Citations: 18)

Xu, Y., Yang, G., et al. (2023). Improvement of surface tension discrete model in the ISPH-FVM coupling method. International Journal of Multiphase Flow, 160, 104347. (Citations: 14)

Xu, Y., Yang, G., et al. (2021). A coupled SPH–FVM method for simulating incompressible interfacial flows with large density difference. Engineering Analysis with Boundary Elements, 128, 227–243. (Citations: 22)

Xu, Y. (2026). Numerical investigation of bubble-induced heat transfer under external electric field based on ISPH-FVM coupling method. International Journal of Heat and Fluid Flow, 117, 110132. (Citations: 6)

Xu, Y., Yang, G., et al. (2024). Comparison of surface tension models for the simulation of two-phase flow in an ISPH-FVM coupling method. European Journal of Mechanics – B/Fluids, 105, 57–96. (Citations: 10)

Mr. Ibra Fall | Computational Fluid Dynamics | Best Researcher Award

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Mr. Ibra Fall | Computational Fluid Dynamics | Best Researcher Award

Mr. Ibra Fall | PhD | National Research Center of Pumps | China

Dr. Fall Ibra is a Senegalese researcher specializing in Power Engineering, Thermo-Physics, and Computational Fluid Dynamics (CFD). His research encompasses applied fluid mechanics, multiphase flow theory, hydraulic design, and numerical simulation of gas–liquid two-phase flow systems. His work focuses on exploring the hydrodynamic mechanisms, energy conversion efficiency, and entropy generation in rotodynamic multiphase pumps and related systems. With a strong background in CFD, population balance modeling, and machine learning applications in fluid dynamics, he integrates computational modeling with experimental data to analyze flow structures, cavitation phenomena, and energy performance under complex multiphase conditions. His contributions extend to deep-sea oil and gas transport, hydraulic stability of pumping systems, and advanced turbulence modeling for gas–liquid interactions. Dr. Ibra has published extensively in high-impact journals such as Physics of Fluids, Alexandria Engineering Journal, Chaos, Solitons and Fractals, and Engineering Applications of Computational Fluid Mechanics. He has also presented his work at international symposiums on cavitation and multiphase flow. According to Scopus, Dr. Fall Ibra has authored 10 documents, cited by 49 other publications, with an h-index of 4. His Google Scholar profile similarly reflects a growing citation record and international research visibility.

Publication Profile

Scopus

Featured Publications

Falla, I., Geng, L., Gao, Y., Appiah, D., Ali, A., & Zhang, D. (2025). Effect of bubble coalescence and breakup on entropy generation in rotodynamic multiphase flow pumps. Physics of Fluids.

Falla, I., Geng, L., Gao, Y., Appiah, D., Ali, A., & Zhang, D. (2025). Numerical investigation of CFD-PBM coupled air–water flow in pipes under varying flow regimes. Alexandria Engineering Journal.

Shah, F., Falla, I., & Zhang, D. (2025). Experimental and CFD evaluation of bubble diameter and turbulence model influence on nonlinear flow dynamics. Chaos, Solitons and Fractals.

Ali, A., Yuan, J., Si, Q., & Falla, I. (2024). Comprehensive analysis of unsteady two-phase flow patterns in multiphase flow models. Engineering Applications of Computational Fluid Mechanics.

Gao, Y., Geng, L., Verdin, P. G., Falla, I., Zhang, R., Tian, Z., & Zhang, D. (2023). Modeling of dual-factor drag correction for bubbly flow under elevated pressures. Chemical Engineering and Technology.

Prof. Peigang Jiao | Particle Hydrodynamics | Best Researcher Award

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Prof. Peigang Jiao | Particle Hydrodynamics | Best Researcher Award

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