Feng Guo | Engineering | Best Researcher Award

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Dr. Feng Guo | Engineering | Best Researcher Award

Dr. Feng Guo | Engineering | Lecturer at Jimei University | China

Dr. Feng Guo is a leading researcher in the field of aerospace propulsion and hybrid energy systems, with extensive experience in turbine engines, advanced flight propulsion control, and multi-fuel energy technologies. With a background in integrated aircraft and propulsion system analysis, Dr. Guo has established a strong reputation for bridging theoretical innovation with practical aerospace engineering solutions. His multidisciplinary approach combines aerodynamics, energy conversion, and propulsion system design to address current and future challenges in aviation and sustainable energy systems. A prolific academic with an active presence in international research forums, Dr. Guo’s contributions are well recognized for their depth, relevance, and potential global impact.

Academic Profile:

ORCID

Education:

Dr. Guo earned his doctoral degree in Aerospace Propulsion from a distinguished academic institution known for its excellence in engineering and scientific research. His academic journey was driven by a deep interest in propulsion integration, leading to his specialization in turbine-based combined cycle systems and their performance under real-world operational conditions. During his graduate and postgraduate studies, Dr. Guo developed expertise in propulsion control, hybrid engine systems, and dynamic inlet/engine coupling. His doctoral research laid the foundation for his future work in advanced propulsion optimization and sustainable fuel integration.

Experience:

Dr. Guo has held key research and academic positions at renowned aerospace and engineering organizations, where he has led and participated in numerous high-impact research initiatives. His work focuses on propulsion system optimization, energy-efficient turbine technologies, and hybrid electric engine configurations. He has collaborated on international projects involving hydrogen and ammonia fuel systems, and contributed to experimental and simulation-based studies on turbine film cooling and ramjet performance. In addition to his research, Dr. Guo has actively reviewed publications for top-tier journals and contributed to academic conferences, sharing his insights on innovative propulsion solutions and flight control mechanisms. His experience also includes mentoring students and coordinating interdisciplinary research teams in propulsion and aerodynamics.

Research Interest:

Dr. Guo’s research interests lie in the development and optimization of advanced propulsion systems, including turbine-based combined cycle (TBCC) engines, hybrid electric propulsion, and sustainable fuel technologies such as hydrogen and ammonia. He is particularly focused on the aerodynamic-propulsion integration of aircraft, thrust-matching techniques, and control law design for variable-geometry engines. Another core area of his research involves performance evaluation through simulation and experimental methods, targeting both atmospheric and near-space flight vehicles. Dr. Guo continues to explore solutions that reduce environmental impact while enhancing propulsion efficiency and operational flexibility, positioning his work at the intersection of aerospace innovation and sustainable engineering.

Award:

Dr. Guo has been recognized for his contributions to the aerospace and energy engineering sectors through nominations and acknowledgments in academic and professional circles. His research excellence, collaborative approach, and commitment to addressing complex engineering problems have earned him distinction among peers. He has been an invited reviewer for international scientific journals and is actively involved in engineering societies that promote advanced propulsion technologies and sustainable energy research. Dr. Guo’s achievements reflect not only technical skill but also leadership in driving interdisciplinary research and mentoring future engineers.

Selected Publications:

  • Optimization Methodology of Wide-Speed Scramjet Engine Based on Aerodynamic/Control Coupling, Applied Thermal Engineering, published 2025, 23 citations

  • Thrust-Matching and Optimization Design of Turbine-Based Combined Cycle Engine with Trajectory Optimization, International Journal of Turbo and Jet Engines, published 2024, 18 citations

  • Flight Analysis and Optimization Design of Vectored Thrust eVTOL Based on Cooperative Flight/Propulsion Control, Aerospace Science and Technology, published 2024, 31 citations

  • Analysis and Suppression of Thrust Trap for Turbo-Ramjet Mode Transition with the Integrated Optimal Control Method, Aerospace, published 2023, 27 citations

Conclusion:

Dr. Feng Guo has made substantial contributions to the advancement of propulsion and hybrid aerospace systems through a combination of rigorous research, innovative thinking, and collaborative efforts. His work addresses critical challenges in modern aviation, including fuel efficiency, system integration, and the development of environmentally responsible propulsion technologies. With a strong record of high-impact publications, international collaborations, and academic leadership, Dr. Guo continues to influence the direction of aerospace engineering and energy systems research. He remains committed to pursuing transformative solutions that align with the future of sustainable and high-performance aerospace applications.

 

 

Yingyuan Liu | Engineering | Women Researcher Award

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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

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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.