Prof. Dr. Fengxian Xin | Mechanical Engineering | Best Researcher Award

Professor , at Xi’an Jiaotong University, China.

Prof. Dr. Fengxian Xin is a distinguished Professor of Mechanical Engineering at the School of Aerospace, Xi’an Jiaotong University, China. With a strong academic and research background in acoustics, vibroacoustics, and solid mechanics, he has developed an international reputation for advancing knowledge in structural sound transmission, acoustic materials, and fluid-structure interactions. Known for his deep theoretical insights and practical modeling skills, Prof. Xin actively collaborates across global academic institutions and remains dedicated to the education and mentorship of future engineers and scientists.

Professional Profile

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Education 🎓

Prof. Xin received his Ph.D. in Mechanics from the School of Aerospace, Xi’an Jiaotong University in 2011 under the supervision of Prof. T.J. Lu. Prior to this, he completed his Master’s degree in the same field and institution in 2008 and earned his Bachelor’s degree in Engineering Mechanics in 2006. His education was firmly rooted in state and MOE key laboratories for strength and vibration, providing a strong foundation in structural dynamics and mechanical behavior of materials

Experience 💼

Prof. Xin began his academic career as a Lecturer (2011–2013) at Xi’an Jiaotong University and rose through the ranks as Associate Professor (2014–2020) before being appointed Full Professor in 2020. His global academic engagement includes serving as a Visiting Scholar at Harvard University (2015–2016) and the Massachusetts Institute of Technology (MIT) in 2017, where he further enriched his research in advanced acoustics and mechanical systems.

Research Interests 🔬

Prof. Xin’s primary research interests lie in acoustofluidics, vibroacoustic behavior of structures, sound absorption materials, and cell and tissue mechanics. His work explores the interaction between sound waves and mechanical structures, with applications in lightweight aerospace structures, noise control, and biomechanics. His research blends analytical modeling, experimental validation, and computational simulation, contributing to the theoretical foundation and practical improvement of acoustic and mechanical systems.

Awards 🏆

Prof. Xin has earned recognition for his scholarly contributions, including the National Science and Technology Academic Publication Fund for his monograph published in Chinese. His international exposure and scholarly excellence have positioned him as a leading expert in vibroacoustics, invited to contribute to academic books and collaborative research projects with world-class institutions.

Top Noted Publications 📚

1. Tunable acoustic metamaterial for broadband low-frequency sound absorption by continuous acoustic impedance manipulation
Authors: Wang, Xiaochen; Yu, Chenlei; Xin, Fengxian
Citations: 5
Journal: Journal of Vibration and Control (JVC)
Year: 2025

2. Effect of Three-Dimensional auxetic honeycomb core on behavior of sound transmission loss in shallow sandwich cylindrical shell
Authors: Sayad Ghanbari Nezhad, Mojtaba; Motavasselolhagh, Mehrdad; Talebitooti, R.; Xin, Fengxian
Citations: 0
Journal: Composite Structures
Year: 2025

3. Broadband sound absorption of micro-perforated sandwich panels with hierarchical honeycomb core at high sound pressure levels
Authors: Zhou, Xindong; Zhang, Weitao; Geng, Xiangfei; Xin, Fengxian
Citations: 2
Journal: Composite Structures
Year: 2025

4. Hybrid honeycomb structure for enhanced broadband underwater sound absorption
Authors: Cai, Chuxiang; Xin, Fengxian
Citations: 5
Journal: International Journal of Mechanical Sciences
Year: 2024

5. Dual-Scale Spiral Material for Balancing High Load Bearing and Sound Absorption
Authors: Yu, Chenlei; Duan, Mingyu; Ti, Fei; Li, Moxiao; Chen, Xin
Citations: 5
Journal: Advanced Science (Open Access)
Year: 2024

Conclusion

Prof. Dr. Fengxian Xin stands as a leading voice in the field of mechanical and acoustic engineering, with a career that bridges rigorous theoretical research and practical problem-solving. His consistent academic growth, international collaborations, and impactful publications make him a worthy candidate for prestigious recognitions such as the Best Researcher Award. With continued contributions to acoustics and mechanics, Prof. Xin is set to remain a key contributor to global advancements in mechanical engineering.

Mr.Farshad Sadeghpour | Engineering | Best Researcher Award |

Researcher, at Petroleum University of Technology (PUT) ,Iran

Mr. Farshad Sadeghpour is a highly motivated and multidisciplinary Petroleum Engineer and Data Scientist with a strong academic foundation and hands-on industry experience. He specializes in applying artificial intelligence, machine learning, and geomechanical modeling to tackle real-world challenges in petroleum exploration and reservoir engineering. With an impressive track record of publications, research collaborations, and award-winning projects, Mr. Sadeghpour stands out as an innovative young professional pushing the frontiers of modern petroleum engineering.

Professional Profile

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Education 🎓

Mr. Sadeghpour holds a Master of Science in Petroleum Engineering (Exploration) from the Petroleum University of Technology, Abadan, Iran (2019–2022), where he graduated with a stellar GPA of 18.82/20. He earned his Bachelor of Science in Petroleum Engineering (Exploration) from the Islamic Azad University, Science and Research Branch, Tehran, Iran (2015–2019), achieving an exceptional GPA of 19.14/20. His academic journey reflects deep technical knowledge, diligence, and consistent excellence.

Experience 👩‍

Mr. Sadeghpour has worked across leading organizations in Iran’s energy sector. His roles include Petroleum Engineer, Petrophysicist, and Data Scientist at institutions such as the Research Institute of Petroleum Industry (RIPI), Petro Vision Pasargad (PVP), Computer Aided Process Engineering (CAPE), and the National Iranian South Oil Company (NISOC). His work involved RCAL, SCAL, EOR laboratory operations, geomechanical modeling, machine learning implementation, and reservoir data analysis—reflecting a strong blend of fieldwork, laboratory experience, and data-driven insights.

Research Interests 🔬

Farshad’s research is at the intersection of petroleum engineering, data science, and geomechanics. He focuses on using machine learning, deep learning, and AI-based models to solve complex reservoir problems such as mud loss prediction, permeability estimation, and CO₂ storage assessment. His work emphasizes both theoretical modeling and practical industry applications, often conducted in collaboration with organizations such as NISOC, RIPI, and the National Iranian Oil Company. His master’s thesis and several projects revolve around neural networks, genetic algorithms, and petrophysical characterization, showing his innovative edge.

Awards 🏆

Farshad’s dedication to excellence was recognized internationally when he secured Third Prize in the EAGE Laurie Dake Challenge 2022 held in Madrid, Spain—a highly competitive event for petroleum engineering students worldwide. He has also been involved in significant national-level research projects with reputed institutions, showcasing his contributions to both academic and industrial progress.

Top Noted Publications 📚

Farshad has co-authored and led multiple high-impact publications in Q1 journals, including:

Energy (2025): Machine learning for CO₂ storage feasibility.

Journal of Petroleum Exploration and Production Technology (2025): New petrophysical-mathematical approach for RQI and FZI.

Geoenergy Science and Engineering (2024): Upscaling methods for elastic modulus prediction.

Journal of Rock Mechanics and Geotechnical Engineering (2024): Stress effects on fracture development in the Asmari reservoir.

Multiple papers under review in Marine and Petroleum Geology, International Journal of Coal Geology, and others.

Conclusion

In conclusion, Farshad Sadeghpour exemplifies the profile of a next-generation energy researcher—technically brilliant, research-oriented, and industry-relevant. His interdisciplinary expertise, publication record, award-winning work, and innovative mindset make him an outstanding candidate for prestigious recognitions such as the Best Researcher Award. His contributions are not only academically significant but also strategically aligned with the global shift toward smart and sustainable energy solutions.