Mr. Fanyu Meng | Nonlinear Dependence | Best Researcher Award

ShanDong University, China.

Mr. Fanyu Meng, born in May 1998 in Jinan, Shandong Province, is a dedicated and emerging scholar in the field of quantitative economics and econometrics. A member of the Chinese Communist Party, he demonstrates a strong foundation in mathematics, statistics, and economic theory, combined with a growing research profile in econometric modeling and data science. He is currently pursuing his Ph.D. at Shandong University and is recognized for his intellectual rigor, methodological expertise, and academic excellence.

Education 🎓

Mr. Meng is currently enrolled in a direct-track doctoral program (Ph.D.) in Quantitative Economics at Shandong University (2022.09–2025.06). He previously completed his Master’s degree in Financial Mathematics and Financial Engineering at the same university from 2020 to 2022. His undergraduate studies were undertaken at Ocean University of China, where he earned a Bachelor of Science in Mathematics and Applied Mathematics from 2016 to 2020. This strong academic journey laid a robust foundation for his work in economic modeling and statistical analysis.

Experience 💼

Mr. Meng has actively participated in several high-level research projects. These include a national-level project on statistical theory and applications in multi-arm robotic game learning (2022–2024), funded by the National Bureau of Statistics. He also contributed to a fintech project on modern agricultural risk management (2020–2022), supported by the Jinan Municipal Science and Technology Bureau. Additionally, he was involved in the “Qingniao Plan” internship program with the Jinan Survey Team of the National Bureau of Statistics in 2020. These experiences have enriched his practical understanding of statistical theory and economic applications.

Research Interests 🔬

Mr. Meng’s research centers on econometric theory and applied econometrics, with a particular interest in time series analysis, panel data models, and structural change detection. He focuses on quantile-based methods, unobserved factor models, semiparametric techniques, and sparse estimation approaches. His work aims to uncover complex, nonlinear relationships within economic systems, contributing to both theoretical advancements and real-world policy modeling.

Awards 🏆

Throughout his academic career, Mr. Meng has received multiple honors. These include a Graduate Second-Class Scholarship and an Excellent Student Source Award during his doctoral studies. As an undergraduate, he was named a Shandong Province Outstanding Graduate, and was awarded several university-level scholarships such as the Shengwu Scholarship, Li Xiaoyong Scholarship, and honors for academic excellence and student leadership. His competitive achievements include prizes in the Shandong Mathematical Modeling Contest and the China Mathematical Modeling Competition.

Top Noted Publications 📚

Mr. Meng has authored peer-reviewed papers published in respected international journals. His article,

“Uncovering Nonlinear Dependencies in the Treasury-Funds Rate Spread: A Quantile-Based Explanation,”

appeared in Finance Research Letters (SSCI, Q1, 2025). Another co-authored paper on adaptive change point detection is set to be published in Communications in Statistics – Simulation and Computation (SCI, Q3, 2025). He is the corresponding author of a paper currently under external review, which applies Bootstrap entropy-weighted TOPSIS in the assessment of China’s provincial digital economy. He also has several ongoing working papers exploring advanced panel models, binary regression, and break estimation techniques.

Conclusion

Mr. Fanyu Meng represents a new generation of quantitatively skilled economists with a deep understanding of statistical modeling and data-driven economic analysis. His strong academic background, ongoing scholarly contributions, technical skills, and recognized potential make him a highly promising researcher. With continued publication and international collaboration, he is well-positioned to make significant contributions to the field of econometrics and quantitative economics.

Mr. Seyed Hossein Hosseini | Engineering Geophysics | Best Researcher Award |

PhD student, at University of West London ,United Kingdom

Mr. Seyed Hossein Hosseini is a dedicated and innovative geophysicist with a strong research background in magnetic and magnetotelluric (MT) methods for geothermal exploration. With a passion for geophysical data interpretation and modeling, he has consistently contributed to advancing subsurface imaging techniques and sustainable energy research. Known for his analytical mindset, teamwork spirit, and fieldwork enthusiasm, Mr. Hosseini actively bridges theoretical research with real-world applications in geoscience.

Professional Profile

Google Scholar

Education 🎓

Mr. Hosseini earned his Master’s degree (2016–2019) in Geomagnetics from the Institute of Geophysics, University of Tehran. His thesis focused on the estimation of geothermal parameters in Mahallat using magnetic and MT methods, which also led to a peer-reviewed publication. He previously obtained his Bachelor’s degree (2012–2016) in Geo-engineering Sciences with a focus on Mining Engineering from Arak University of Technology. His undergraduate thesis involved exploratory data analysis of lithogeochemical samples from Deh Hossein’s gold, copper, and tin deposits, showcasing early engagement in resource exploration.

Experience 👩‍

With hands-on experience in field surveys and geophysical project evaluations, Mr. Hosseini brings practical knowledge and academic excellence together. He is skilled in using advanced geophysical software such as Geosoft, Mag3D, WingLink, GIS, ModelVision, and MATLAB. His strengths in time management, innovation, and multitasking make him an asset in both individual and team research environments. He also contributes to reviewing geophysical projects and arbitration, indicating trust in his professional judgment and technical expertise.

Research Interests 🔬

Mr. Hosseini’s core research revolves around applied geophysics, particularly the interpretation of magnetic and magnetotelluric datasets to explore geothermal reservoirs and mineral deposits. His expertise includes 2D and 3D inversion modeling, sharp boundary inversion techniques, joint Euler deconvolution, and edge detection methodologies. He is particularly recognized for his contributions to subsurface modeling and the development of dynamic window-based Euler depth estimation algorithms. His work aligns with current global needs for clean energy solutions and sustainable resource exploration.

Awards 🏆

Mr. Hosseini has been consistently recognized for his research contributions through multiple publications in prestigious geophysical journals and participation in respected international conferences such as EMIW2022 and the Annual International Conference on Geoscience and Earth Sciences. While formal awards are not listed, his research impact and academic achievements reflect the potential for future honors in geophysics and clean energy exploration.

Top Noted Publications 📚

Mr. Hosseini has authored numerous peer-reviewed journal articles from 2020 to 2024. His recent works include:

“Geoelectrical image of the Sabalan geothermal reservoir from magnetotelluric studies” (Journal of Applied Geophysics, 2024)

“2D sharp boundary inversion… Mahallat reservoir” and “Dynamic window-based Euler depth estimation” (Bulletin of Geophysics and Oceanography, 2024)

“Joint Euler deconvolution for depth estimation…” (IJMGE, 2023)

“3D inverse modeling of electrical resistivity…” (IJMGE, 2022)

“Magnetic Interpretational Perspective on Charmaleh Iron Deposit” (Natural Resources Research, 2022)

Conclusion

In summary, Mr. Seyed Hossein Hosseini is a promising and well-rounded researcher in the field of geophysics with a specialized focus on geothermal exploration and advanced subsurface imaging. His academic training, practical field skills, innovative research contributions, and consistent publication record position him as a valuable contributor to both academia and industry. With further growth, particularly at the doctoral level and through international collaborations, he is poised to make lasting impacts in sustainable geoscience research.

Mr Fanyu Meng | Nonlinear Dependence | Best Researcher Award |