Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

Associate Professor at Shandong University, China

Dr. Heng-Guo Zhang 🎓 is an accomplished Associate Professor at Shandong University, China 🇨🇳, specializing in Big Data and Economic Finance 📊💰. With a Ph.D. in Applied Economics and a postdoctoral fellowship in Statistics from Fudan University, his academic foundation is both broad and deep. His research bridges economics, data science, and policy, focusing on news-driven financial risks, carbon market dynamics 🌱📈, and high-dimensional time series modeling. Dr. Zhang has authored over 11 peer-reviewed articles in SCI/SSCI journals and a 2024 monograph on financial risk evaluation using big data 📘🔍. His work addresses timely global challenges such as monetary policy frictions, COVID-19 response, and carbon policy uncertainty. Passionate about data-driven policymaking and economic modeling, Dr. Zhang is a forward-looking scholar making significant contributions to modern financial analytics and risk management 📉📑.

Professional Profile 

Scopus Profile

🎓 Education

Dr. Heng-Guo Zhang has a strong interdisciplinary academic background. He earned his Ph.D. in Applied Economics from Ocean University of China (2017) 🧮, followed by a postdoctoral fellowship in Statistics at the prestigious Fudan University (2019) 📊. Prior to this, he completed his M.S. in Information Science (2011) and B.S. in Library Science (2008) from Sun Yat-sen University 🏫. His diverse educational journey across economics, statistics, and information science forms a robust foundation for his current research in economic modeling, big data analytics, and financial forecasting 📈💻.

 🏛️ Professional Experience

Dr. Zhang currently serves as an Associate Professor at the Center for Economic Research, Shandong University (since 2019) 🏛️. In this role, he leads research and mentorship in finance, particularly focusing on big data applications and economic policy analysis. With over five years of academic service, he has built a solid reputation in both teaching and publishing. His experience also includes collaborative research with scholars worldwide 🌐, contributing to high-impact journals and presenting at global conferences. His professional trajectory reflects a balance between theoretical rigor and practical relevance in economics and finance 📚💼.

🔬 Research Interest

Dr. Zhang’s research revolves around Big Data and Economic Finance 📊💵. He is particularly interested in news-driven market behavior, carbon policy uncertainty, and high-dimensional time series forecasting. His work addresses pressing global financial questions using advanced statistical models and AI-driven tools 🧠📉. Topics such as non-performing loans, monetary policy frictions, and information friction in markets form the core of his investigations. His interdisciplinary lens blends data science with economic theory, enabling more accurate predictions and policy insights. Dr. Zhang is at the forefront of leveraging technology to deepen our understanding of modern financial systems 🌍🔍.

🏅 Awards and Honors

While detailed awards are not listed, Dr. Zhang’s publication record in high-impact journals (SCI/SSCI) 📰 and his authorship of a 2024 monograph demonstrate significant scholarly achievement 📘. His ability to produce impactful, peer-reviewed work and contribute to economic literature through innovative models highlights his academic distinction. Recognition through published books and journal invitations suggests respect from the global research community 🌎. Given his trajectory, Dr. Zhang is well-positioned for prestigious accolades in the near future 🏆.

🛠️ Research Skills

Dr. Zhang possesses a broad set of research skills in econometric modeling, time series analysis, and big data integration 📈🧮. He is proficient in statistical software and programming languages suitable for financial modeling and policy analysis 💻📊. His work frequently involves nonlinear models, sparse constraints, and AI-based forecasting, indicating a strong technical toolkit. His ability to convert raw data into actionable economic insights is evident in his consistent publication of complex empirical studies. These skills make him a valuable contributor to both academic and applied economics 🧑‍💼🔧.

Publications Top Note 📝

  • An Adaptive Evolutionary Causal Dynamic Factor Model
    • Authors: Wei Q., Zhang H. G.
    • Year: 2025
    • Source: Mathematics (SCI), 13(11):1891

  • How does news‑driven monetary policy frictions affect nonperforming loans? Taking Chinese commercial banks as an example
    • Authors: Zhang H. G., Wang S., Xie Y.
    • Year: 2025
    • Source: The North American Journal of Economics and Finance (SSCI), 76:102353

  • News‑driven bubbles in futures markets
    • Authors: Zhang H. G., Li T.
    • Year: 2023
    • Source: Journal of Energy Markets (SCI), 16(2):55–78

  • Does carbon policy uncertainty affect economic growth? Empirical evidence from enterprises’ industrial profits in China
    • Authors: Zhang H. G., Wenti Du, Yuchi Xie
    • Year: 2023
    • Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 57(3):283–294

  • Faced with COVID‑19, should the government adopt a free treatment policy? Evidence from China
    • Authors: Zhang H. G.
    • Year: 2022
    • Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 56(3):87–100

  • Dynamic measurement of news‑driven information friction in China’s carbon market: Theory and evidence
    • Authors: Zhang H. G., Tingting Cao, Li H., Xu T.
    • Year: 2021
    • Source: Energy Economics (SCI), 95:104994

  • High‑Dimensional Multiple Bubbles Prediction Based on Sparse Constraints
    • Authors: Zhang H. G., Wu L.
    • Year: 2019
    • Source: IEEE Access (SCI), 7:38356–38368

  • Can onshore spot market progress influence offshore NDF market development for the CNY?
    • Authors: Su C. W., Wang K. H., Zhang H. G., Nian R.
    • Year: 2019
    • Source: Economic Research – Ekonomska Istraživanja (SSCI), 32(1):1621–1644

  • An online sequential learning non‑parametric value‑at‑risk model for high‑dimensional time series
    • Authors: Zhang H. G., Wu L., Song Y., Su C. W., Wang Q., Su F.
    • Year: 2018
    • Source: Cognitive Computation (SCI), 10(2):187–200

  • Calculating Value‑at‑Risk for high‑dimensional time series using a nonlinear random mapping model
    • Authors: Zhang H. G., Su C. W., Song Y., Qiu S., Xiao R., Su F.
    • Year: 2017
    • Source: Economic Modelling (SSCI), 67:355–367

  • Is exchange rate stability beneficial for stabilizing consumer prices in China?
    • Authors: Su C. W., Zhang H. G., Chang H. L., Nian R.
    • Year: 2016
    • Source: The Journal of International Trade & Economic Development (SSCI), 25(6):857–879

✅ Conclusion

Dr. Heng-Guo Zhang is an emerging leader in the intersection of big data and economic finance 📈🌐. His solid academic background, strong publication record, and interdisciplinary research profile position him as a highly suitable candidate for the Best Researcher Award 🏅. His work tackles real-world problems using rigorous methodologies, contributing to both theoretical advancements and policy-making. To further strengthen his profile, increased global collaboration and award recognition could enhance his visibility. Overall, Dr. Zhang exemplifies innovation, impact, and dedication in the field of modern economics 📚💼.

Peng Yue | Pure Mathematics | Best Researcher Award

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Prof. Dr. Peng Yue | Pure Mathematics | Best Researcher Award

Dr. at Ocean University of China, China

Prof. Dr. Peng Yue is a distinguished academic currently serving as a professor at the School of Physics and Optoelectronic Engineering, Ocean University of China. With a solid educational foundation, he earned his bachelor’s, master’s, and Ph.D. degrees in mechanics from the National Aerospace University “Kharkov Aviation Institute.” Prof. Yue’s research focuses on developing mathematical and mechanical theories and models related to nonlinear and complex systems, bridging mathematics, physics, and engineering. His notable contributions include several publications in prestigious journals, including works on fluid dynamics, aerodynamics, and mathematical models for flow field separation. Additionally, Prof. Yue has been an active participant in international awards, often presenting as a keynote speaker. He is a member of several academic societies, including the Chinese Mathematical Society and the Chinese Society of Industrial and Applied Mathematics. His interdisciplinary work and leadership in the field make him a prominent figure in applied mathematics and engineering.

Professional Profile 

Scopus Profile
ORCID Profile 

Education

Prof. Dr. Peng Yue’s educational journey reflects his dedication to advancing the fields of mathematics, mechanics, and physics. He began his academic path at the National Aerospace University “Kharkov Aviation Institute” where he earned his bachelor’s degree in theoretical and applied mechanics in 2011. His passion for mechanics led him to pursue a master’s degree in the same field, which he completed in 2013. Demonstrating exceptional academic ability and a deep interest in complex systems, Prof. Yue continued his studies at the same institution and earned his Ph.D. in mechanics in 2017. This rigorous academic foundation laid the groundwork for his subsequent research career. His advanced education provided him with a comprehensive understanding of mathematical and mechanical theories, equipping him with the skills necessary to develop models and algorithms for nonlinear and complex systems.

Professional Experience

Prof. Dr. Peng Yue has an extensive professional background that spans academia and research in the fields of mathematics, mechanics, and engineering. He currently serves as a professor at the School of Physics and Optoelectronic Engineering, College of Information Science and Engineering, Ocean University of China. Prior to 2023, he held significant academic and research positions at the University of Electronic Science and Technology of China and the China Aerodynamics Research and Development Center, where he contributed extensively to the study of nonlinear and complex systems. Prof. Yue’s expertise also includes developing practical models and algorithms for mathematical and mechanical theories. He earned his bachelor’s, master’s, and Ph.D. degrees from the National Aerospace University “Kharkov Aviation Institute.” Throughout his career, Prof. Yue has been actively involved in numerous projects and awards, including as a keynote speaker at prestigious international events like the 13th International Conference on Computational Mechanics.

Research Interest

Prof. Dr. Peng Yue’s research interests primarily focus on the development of mathematical and mechanical theories applied to nonlinear and complex systems. He explores practical models and algorithms that bridge the gap between theoretical mechanics and real-world engineering problems. His work is at the intersection of mathematics, physics, and engineering, with particular emphasis on the modeling and analysis of fluid dynamics, flow separation, and multi-field coupling mechanisms. Prof. Yue is also dedicated to advancing numerical methods such as the boundary element method for determining aerodynamic characteristics and improving techniques in Cartesian tensor analysis. His research aims to enhance understanding of the behavior of complex physical systems, with applications in aerodynamics, mechanics, and technology. By developing new mathematical models, he strives to solve practical challenges faced by modern engineering, contributing to the broader understanding of nonlinear phenomena and pushing the boundaries of applied mathematics and mechanical systems.

Award and Honor

Prof. Dr. Peng Yue has earned significant recognition throughout his academic career, marking him as a distinguished figure in the fields of applied mathematics, mechanics, and engineering. As a member of the Chinese Mathematical Society, the Chinese Society for Industrial and Applied Mathematics, and the Chinese Society of Mechanics, his contributions to mathematical modeling and nonlinear systems have been widely acknowledged. He has held important academic positions, including as a professor at the Institute of Space Technology at the China Aerodynamics Research and Development Center, and more recently at Ocean University of China. His research has led to numerous high-impact journal publications, with key articles on complex fluid dynamics, aerodynamics, and tensor analysis. Prof. Yue has also made significant contributions to international awards, delivering keynote addresses, such as at the 13th International Conference on Computational Mechanics. His honors reflect both his scholarly achievements and his leadership in advancing scientific and engineering knowledge.

Conclusion

Prof. Dr. Peng Yue has proven to be an exceptional researcher, blending advanced mathematical, mechanical, and physical theories with practical models and algorithms. His academic journey, from earning a Ph.D. at the National Aerospace University “Kharkov Aviation Institute” to holding prominent positions at renowned institutions like the University of Electronic Science and Technology of China and the Ocean University of China, showcases his deep expertise. Prof. Yue’s extensive publication record, including high-quality journal articles on nonlinear systems and fluid dynamics, as well as his role as a keynote speaker at international awards, reflects his influential contributions to his fields. His involvement in major scientific societies such as the Chinese Mathematical Society further emphasizes his academic prominence. While continuing to expand the reach of his research, Prof. Yue’s exceptional scholarship, leadership, and interdisciplinary work solidify his standing as a distinguished figure in applied mathematics and mechanics.

Publications Top Noted

  • Title: Surface Pressure Calculation Method of Multi-Field Coupling Mechanism under the Action of Flow Field
    Authors: Zhang, J., Wei, S., Yue, P., Kulik, A.S., Li, G.
    Year: 2023
    Citations: 1
  • Title: Mathematical Model for Excited State Fluid Dynamics
    Authors: Yue, P., Zhang, J., Wei, S.
    Year: 2023
    Citations: 0
  • Title: Mathematical Principle Analysis of Transition Point Prediction
    Authors: Yue, P., Zhang, J., Peng, D., Wei, S.
    Year: 2022
    Citations: 0
  • Title: Mathematical Principle Analysis of Separation Point Prediction
    Authors: Yue, P., Zhang, J., Peng, D., Wei, S.
    Year: 2021
    Citations: 0
  • Title: Mathematical Model and Analysis Method for Flowfield Separation and Transition
    Authors: Yue, P., Xiao, J., Xu, K., Lu, Y., Peng, D.
    Year: 2021
    Citations: 5
  • Title: Numerical Implementation of Boundary Element Method for Determining Aerodynamic Characteristics around Airfoil System by Viscous Media
    Authors: Xu, K., Yue, P., Liu, Q., Lu, Y., Zhang, J.
    Year: 2020
    Citations: 3
  • Title: Extension of Calculus Operations in Cartesian Tensor Analysis
    Authors: Lu, Y., Yue, P., Wei, S.
    Year: 2020
    Citations: 1