Yingyuan Liu | Engineering | Women Researcher Award

Posted on by Academic achievements

Ms. Yingyuan Liu | Engineering | Women Researcher Award

Professor | Shanghai Normal university | China

Dr. Liu Yingyuan is an accomplished researcher and faculty member specializing in the application of artificial intelligence (AI) in fluid machinery. With a strong academic foundation and extensive professional experience, she has contributed significantly to advancing machine learning models, turbulence analysis, airfoil optimization, and fault diagnosis. Currently serving at Shanghai Normal University, Dr. Liu’s expertise bridges the intersection of AI and fluid mechanics, making her a leader in her field.

Profile

Scopus

Education

Dr. Liu Yingyuan earned her Ph.D. in Fluid Machinery from Zhejiang University in 2016, where she focused on the intricate dynamics of fluid mechanics and advanced computational methods. Her undergraduate studies in Process Equipment and Control Engineering at the China University of Petroleum (East China), completed in 2011, laid a strong foundation in engineering principles and process optimization.

Experience

Dr. Liu has been a faculty member at Shanghai Normal University, where she combines her deep research expertise with her passion for teaching. Her academic career is marked by impactful research, collaborative projects, and mentorship of students, particularly in the realm of AI applications in fluid mechanics. Her contributions extend beyond academia through her active engagement in professional committees and collaborations with industry experts.

Research Interests

Dr. Liu’s research is centered on leveraging artificial intelligence technologies to address complex challenges in fluid machinery. Her interests include machine learning modeling for turbulence, optimal airfoil shape design, and fault diagnosis in fluid machinery. By integrating AI with engineering, she has developed innovative solutions that enhance the efficiency and reliability of mechanical systems.

Awards

Dr. Liu’s innovative research has garnered recognition in the academic and professional community. Notably, her studies in machine learning-driven fault diagnosis and airfoil optimization have earned her nominations for awards in engineering and AI applications. Her commitment to excellence continues to inspire peers and students alike.

Publications

  1. Liu YY, Shen JX, Yang PP, Yang XW. A CNN-PINN-DRL driven method for shape optimization of airfoils. Engineering Application of Computational Fluid Mechanics, 2025, 19(1): 2445144.
    • Cited by: Researchers developing AI-driven aerodynamics models.
  2. Shen JX, Liu YY, Wang Leqin.* A Deep Learning-Based Method for Airfoil Parametric Modeling. Chinese Journal of Engineering Design, 2024, 31(03): 292-300.
    • Cited by: Articles on parametric modeling techniques.
  3. Liu D, Liu YY. A Deep Learning-Based Fault Diagnosis Method for Fluid Machinery with Small Samples. Journal of Shanghai Normal University (Natural Sciences), 2023, 52(02): 264-271.
    • Cited by: Studies on fault diagnosis in mechanical systems.
  4. Liu YY, Gong JG, An K, Wang LQ. Cavitation Characteristics and Hydrodynamic Radial Forces of a Reversible Pump–Turbine at Pump Mode. Journal of Energy Engineering, 2020, 146(6): 04020066.
    • Cited by: Publications on hydrodynamics and pump-turbine systems.
  5. Liu Y Y, An K, Liu H, et al. Numerical and experimental studies on flow performances and hydraulic radial forces of an internal gear pump with a high pressure. Engineering Applications of Computational Fluid Mechanics, 2019, 13: 1, 1130-1143.
    • Cited by: Research focused on internal gear pump performance.
  6. Liu Y Y, Wang L Q, Zhu Z C.* Experimental and numerical studies on the effect of inlet pressure on cavitating flows in rotor pumps. Journal of Engineering Research, 2016, 4(2): 151-171.
    • Cited by: Studies on cavitation phenomena in rotor pumps.
  7. Liu Y Y, Wang L Q, Zhu Z C.* Numerical study on flow characteristics of rotor pumps including cavitation. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2015, 229(14): 2626-2638.
    • Cited by: Articles on numerical modeling of fluid flows.

Conclusion

Dr. Liu Yingyuan exemplifies the integration of advanced engineering knowledge and AI-driven innovation. Her pioneering contributions to the fields of fluid mechanics and machinery have not only pushed technological boundaries but also inspired the next generation of engineers and researchers. Dr. Liu’s work continues to serve as a cornerstone for advancements in intelligent mechanical systems, ensuring her lasting impact on both academia and industry.

Tian-Bing Xu | Mechanical and Aerospace | Best Researcher Awards

Posted on by Academic achievements

Prof. Tian-Bing Xu | Mechanical and Aerospace | Best Researcher Awards

Ph.D. at Old Dominion University, United States

Dr. Tian-Bing Xu is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Old Dominion University (ODU). He leads the Smart Materials & Intelligent Systems (SMIS) Laboratory, focusing on advanced technologies in smart materials, energy harvesting, and intelligent systems. Recognized among the top 2% of the most influential scientists worldwide, Dr. Xu has made significant contributions to energy conversion, renewable energies, and aerospace technologies. His interdisciplinary research and collaboration with organizations such as NASA and the Department of Defense have earned him numerous accolades, cementing his reputation as a leading researcher in his field.

Profile

Google Scholar

Education:

Dr. Xu’s academic journey began with a Diploma in Physics from Shandong University, China, followed by graduate work at the Chinese Academy of Sciences. He then moved to the United States, where he completed both his Master’s and Ph.D. in Materials Science and Engineering at The Pennsylvania State University. His Ph.D. research focused on developing electromechanical devices using electroactive polymers, under the guidance of Dr. Qiming Zhang. This education laid the foundation for his future work in advanced materials and intelligent systems, blending fundamental science with applied engineering solutions.

Experience:

Dr. Xu has over two decades of experience in academic and applied research. Since joining ODU in 2018 as an Associate Professor, he has led projects in smart materials, energy harvesting, and sensor technologies. Before ODU, he worked at NASA Langley Research Center and the National Institute of Aerospace in various capacities, contributing significantly to aerospace research. His work in these roles included leadership in developing piezoelectric materials and energy harvesting systems, with several projects transitioning to industrial applications. He also held a Senior Research Scientist position, which was critical in his collaboration with NASA on multiple innovations. His academic experience is further highlighted by multiple invited talks and keynote speeches.

Research Interests:

Dr. Xu’s research primarily focuses on smart materials and intelligent systems, with applications in energy harvesting, robotics, medical devices, and renewable energies. His work aims to develop materials and systems that can efficiently convert mechanical energy into electrical energy, particularly for use in structural health monitoring, offshore energy systems, and wearable technology. He is also deeply invested in advancing manufacturing technologies for these materials to increase their real-world applicability. Additionally, Dr. Xu’s research has expanded into exploring piezoelectric technologies for energy recovery, aiming to revolutionize both the aerospace and renewable energy industries.

Awards:

Dr. Xu has received numerous awards for his groundbreaking research. Notably, he was included in the Stanford University list of the top 2% of the most influential scientists worldwide. He has also been awarded research grants totaling over $12 million from prestigious organizations such as NASA, NSF, DOD, and various state agencies. His leadership in securing these grants, both as principal investigator and co-investigator, highlights his capacity to drive impactful research projects. Dr. Xu has also received the prestigious ONR Summer Faculty Fellowship and has been honored with awards for his patented technologies.

Publications:

Dr. Xu has published 58 peer-reviewed journal articles, 3 book chapters, and over 44 conference papers. His research has appeared in leading journals with high impact factors, contributing significantly to the advancement of materials science and engineering. A selection of his key publications includes:

A review of piezoelectric footwear energy harvesters: principles, methods, and applications, Sensors, 2023.

Proof Mass Effects on a Flextensional Piezoelectric Energy Harvester, IFAC-PapersOnLine, 2022.

A high density piezoelectric energy harvesting device from highway traffic—System design and road test, Applied Energy, 2021.

Piezoelectric energy harvesting from human walking by using a two-stage amplification mechanism, Energy, 2019.

Design, optimization, modeling, and testing of a piezoelectric footwear energy harvester, Energy Conversion and Management, 2018.

Conclusion:

Dr. Tian-Bing Xu’s achievements make him a highly deserving candidate for the Best Researcher Award. His pioneering work in smart materials, energy harvesting technologies, and advanced manufacturing places him at the forefront of scientific innovation. His leadership in securing substantial research grants, his prolific publication record, and his numerous patents underscore his significant contributions to both academic and practical advancements in his field. With continued growth in interdisciplinary research and broader global collaborations, Dr. Xu’s work promises to have an even greater impact on the future of technology and sustainable energy solutions.