Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

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

Associate Professor at Shandong University, China

Dr. Heng-Guo Zhang ๐ŸŽ“ is an accomplished Associate Professor at Shandong University, China ๐Ÿ‡จ๐Ÿ‡ณ, specializing in Big Data and Economic Finance ๐Ÿ“Š๐Ÿ’ฐ. 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 ๐ŸŒฑ๐Ÿ“ˆ, 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 ๐Ÿ“˜๐Ÿ”. 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 ๐Ÿ“‰๐Ÿ“‘.

Professional Profileย 

Scopus Profile

๐ŸŽ“ 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) ๐Ÿงฎ, followed by a postdoctoral fellowship in Statistics at the prestigious Fudan University (2019) ๐Ÿ“Š. Prior to this, he completed his M.S. in Information Science (2011) and B.S. in Library Science (2008) from Sun Yat-sen University ๐Ÿซ. 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 ๐Ÿ“ˆ๐Ÿ’ป.

ย ๐Ÿ›๏ธ Professional Experience

Dr. Zhang currently serves as an Associate Professor at the Center for Economic Research, Shandong University (since 2019) ๐Ÿ›๏ธ. 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 ๐ŸŒ, 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 ๐Ÿ“š๐Ÿ’ผ.

๐Ÿ”ฌ Research Interest

Dr. Zhang’s research revolves around Big Data and Economic Finance ๐Ÿ“Š๐Ÿ’ต. 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 ๐Ÿง ๐Ÿ“‰. 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 ๐ŸŒ๐Ÿ”.

๐Ÿ… Awards and Honors

While detailed awards are not listed, Dr. Zhang’s publication record in high-impact journals (SCI/SSCI) ๐Ÿ“ฐ and his authorship of a 2024 monograph demonstrate significant scholarly achievement ๐Ÿ“˜. 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 ๐ŸŒŽ. Given his trajectory, Dr. Zhang is well-positioned for prestigious accolades in the near future ๐Ÿ†.

๐Ÿ› ๏ธ Research Skills

Dr. Zhang possesses a broad set of research skills in econometric modeling, time series analysis, and big data integration ๐Ÿ“ˆ๐Ÿงฎ. He is proficient in statistical software and programming languages suitable for financial modeling and policy analysis ๐Ÿ’ป๐Ÿ“Š. 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 ๐Ÿง‘โ€๐Ÿ’ผ๐Ÿ”ง.

Publications Top Note ๐Ÿ“

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

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

  • Newsโ€‘driven bubbles in futures markets
    โ€ข Authors: Zhang H.โ€ฏG., Li T.
    โ€ข Year: 2023
    โ€ข Source: Journal of Energy Markets (SCI), 16(2):55โ€“78

  • Does carbon policy uncertainty affect economic growth? Empirical evidence from enterprisesโ€™ industrial profits in China
    โ€ข Authors: Zhang H.โ€ฏG., Wenti Du, Yuchi Xie
    โ€ข Year: 2023
    โ€ข Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 57(3):283โ€“294

  • Faced with COVIDโ€‘19, should the government adopt a free treatment policy? Evidence from China
    โ€ข Authors: Zhang H.โ€ฏG.
    โ€ข Year: 2022
    โ€ข Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 56(3):87โ€“100

  • Dynamic measurement of newsโ€‘driven information friction in Chinaโ€™s carbon market: Theory and evidence
    โ€ข Authors: Zhang H.โ€ฏG., Tingting Cao, Li H., Xu T.
    โ€ข Year: 2021
    โ€ข Source: Energy Economics (SCI), 95:104994

  • Highโ€‘Dimensional Multiple Bubbles Prediction Based on Sparse Constraints
    โ€ข Authors: Zhang H.โ€ฏG., Wu L.
    โ€ข Year: 2019
    โ€ข Source: IEEE Access (SCI), 7:38356โ€“38368

  • Can onshore spot market progress influence offshore NDF market development for the CNY?
    โ€ข Authors: Su C.โ€ฏW., Wang K.โ€ฏH., Zhang H.โ€ฏG., Nian R.
    โ€ข Year: 2019
    โ€ข Source: Economic Research โ€“ Ekonomska Istraลพivanja (SSCI), 32(1):1621โ€“1644

  • An online sequential learning nonโ€‘parametric valueโ€‘atโ€‘risk model for highโ€‘dimensional time series
    โ€ข Authors: Zhang H.โ€ฏG., Wu L., Song Y., Su C.โ€ฏW., Wang Q., Su F.
    โ€ข Year: 2018
    โ€ข Source: Cognitive Computation (SCI), 10(2):187โ€“200

  • Calculating Valueโ€‘atโ€‘Risk for highโ€‘dimensional time series using a nonlinear random mapping model
    โ€ข Authors: Zhang H.โ€ฏG., Su C.โ€ฏW., Song Y., Qiu S., Xiao R., Su F.
    โ€ข Year: 2017
    โ€ข Source: Economic Modelling (SSCI), 67:355โ€“367

  • Is exchange rate stability beneficial for stabilizing consumer prices in China?
    โ€ข Authors: Su C.โ€ฏW., Zhang H.โ€ฏG., Chang H.โ€ฏL., Nian R.
    โ€ข Year: 2016
    โ€ข Source: The Journal of International Trade & Economic Development (SSCI), 25(6):857โ€“879

โœ… Conclusion

Dr. Heng-Guo Zhang is an emerging leader in the intersection of big data and economic finance ๐Ÿ“ˆ๐ŸŒ. His solid academic background, strong publication record, and interdisciplinary research profile position him as a highly suitable candidate for the Best Researcher Award ๐Ÿ…. 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 ๐Ÿ“š๐Ÿ’ผ.

Olumide Adesina | Applied Mathematics | Best Researcher Award

Dr. Olumide Adesina | Applied Mathematics | Best Researcher Award

Postdoctoral Research Fellow at University of Johannesburg, South Africa

Dr. Olumide Adesina is a renowned medical doctor, digital health advocate, and public health expert with a strong focus on leveraging technology to improve healthcare delivery in Africa ๐ŸŒ๐Ÿ’‰. He holds multiple degrees and certifications in medicine, public health, and health informatics ๐ŸŽ“๐Ÿ“š. Passionate about innovation in healthcare, Dr. Adesina actively promotes digital health solutions, including telemedicine, electronic medical records, and health data analytics ๐Ÿ’ป๐Ÿ“Š. He is also a respected thought leader and speaker at global health conferences ๐Ÿ—ฃ๏ธ๐ŸŒ. Through his work, he continues to champion equitable access to healthcare and collaborates with local and international organizations to advance health outcomes across underserved populations ๐Ÿค๐Ÿฅ. Dr. Adesinaโ€™s commitment to digital transformation in healthcare has positioned him as a key influencer in shaping the future of health in Africa.

Professional Profileย 

Education ๐ŸŽ“๐Ÿ“š

Dr. Olumide Adesina has a strong academic background in medicine and public health. He obtained his medical degree (MBBS) from a reputable Nigerian university, followed by advanced training in public health and digital health from globally recognized institutions ๐ŸŒ๐Ÿฅ. He holds certifications in health informatics, project management, and digital transformation in healthcare ๐Ÿ–ฅ๏ธ๐Ÿ“ˆ. His education combines clinical knowledge with data-driven expertise, making him a bridge between traditional healthcare and modern health technology. Dr. Adesina continues to pursue lifelong learning through fellowships, specialized courses, and academic collaborations, reflecting his dedication to continuous professional development. His diverse educational qualifications have enabled him to become a leader in digital health innovation and a mentor to emerging healthcare professionals in Africa and beyond ๐Ÿ‘จโ€๐Ÿซ๐Ÿง .

Professional Experience ๐Ÿ’ผ๐ŸŒ

Dr. Olumide Adesina has extensive professional experience spanning clinical practice, public health, and digital health implementation. He has worked as a frontline physician in both urban and rural settings, gaining firsthand insight into healthcare challenges ๐Ÿฅ๐Ÿฉบ. Transitioning into public health, he has held leadership roles in international health organizations, focusing on policy development, health systems strengthening, and e-health programs ๐Ÿค๐Ÿ“‹. Dr. Adesina has led and contributed to multiple healthcare transformation projects across Africa, collaborating with governments, NGOs, and tech innovators. His experience includes managing telemedicine platforms, training healthcare workers in digital tools, and integrating electronic health records across regions ๐ŸŒ๐Ÿ–ฅ๏ธ. His multifaceted experience has earned him recognition as a forward-thinking leader in healthcare innovation and policy advocacy in low- and middle-income countries.

Research Interest ๐Ÿ”ฌ๐Ÿ“Š

Dr. Adesinaโ€™s research interests lie at the intersection of digital health, public health policy, and healthcare systems improvement. He explores how technologies such as AI, mobile health (mHealth), and big data analytics can be harnessed to optimize healthcare delivery, especially in resource-limited settings ๐Ÿค–๐Ÿ“ฑ๐Ÿ“ˆ. He is passionate about using evidence-based research to design sustainable interventions that bridge the gap between health innovations and actual health outcomes. Dr. Adesina also investigates the impact of electronic medical records, telemedicine adoption, and digital literacy among healthcare professionals ๐Ÿ“๐Ÿ’ก. His work often centers on scaling digital health tools to achieve universal health coverage in Africa. Through collaborative research, he continues to publish articles and present findings that influence digital health policy and practice worldwide ๐ŸŒ๐Ÿ“„.

Awards and Honors ๐Ÿ†๐ŸŽ–๏ธ

Dr. Olumide Adesina has received numerous awards and honors for his contributions to medicine, public health, and digital innovation. He has been recognized by health organizations and tech institutions for his outstanding work in bridging healthcare and technology in underserved communities ๐Ÿฅ‡๐ŸŒ. Among his accolades are leadership fellowships, innovation challenge grants, and international health awards celebrating excellence in digital health implementation ๐Ÿ’ก๐ŸŒŸ. He is often invited to keynote global health summits and has been listed among influential figures shaping the future of healthcare in Africa ๐Ÿ—ฃ๏ธ๐Ÿ…. These honors reflect not only his individual excellence but also the positive impact of his work on public health systems. Dr. Adesinaโ€™s awards serve as a testament to his unwavering dedication and thought leadership in the global health arena.

Research Skills ๐Ÿง ๐Ÿงช

Dr. Adesina possesses advanced research skills in both qualitative and quantitative methods, specializing in health systems research, digital health evaluation, and implementation science ๐Ÿงฎ๐Ÿ“‘. He is proficient in using analytical software such as SPSS, R, and NVivo for data analysis and visualization ๐Ÿ“Š๐Ÿ’ป. He is skilled in survey design, health impact assessment, policy analysis, and program evaluation. His methodological rigor is complemented by a strong ability to translate research findings into actionable insights and policy recommendations โœ๏ธ๐Ÿ“ˆ. Dr. Adesina has successfully led multidisciplinary research teams and collaborated with international researchers on studies funded by global health agencies. His expertise in ethical research practices and participatory research models ensures that his work is inclusive, culturally sensitive, and results-oriented ๐Ÿค๐ŸŒ.

Publications Top Note ๐Ÿ“

  • Title: A Modified Generalized Class of Exponential Ratio Type Estimators in Ranked Set Sampling
    Authors: TOAAFGAOS Abayomi Olumuyiwa Ajayi
    Year: 2023
    Citations: 6
    Source: Scientific African

  • Title: Count Models Analysis of Factors Associated with Road Accidents in Nigeria
    Authors: AF Adedotun, OS Adesina, OK Onasanya, ES Onos, OG Onuche
    Year: 2022
    Citations: 6
    Source: International Journal of Safety and Security Engineering, 12(4), 533โ€“542

  • Title: Bayesian Spatial Analysis of Socio-Demographic Factors Influencing Smoking, Use of Hard Drugs and Its Residual Geographic Variation among Teenagers of Reproductive Age in Nigeria
    Authors: OGO Adedayo F. Adedotun, Olanrewaju K. Onasanya, Abass I. Taiwo, Olumide S. Adesina
    Year: 2022
    Citations: 6
    Source: International Journal of Sustainable Development and Planning, 17(1), 277โ€“288

  • Title: Forecasting of New Cases of COVID-19 in Nigeria Using Autoregressive Fractionally Integrated Moving Average Models
    Authors: OS Adesina, SA Onanaye, D Okewole, AC Egere
    Year: 2020
    Citations: 6
    Source: Asian Research Journal of Mathematics, 16(9), 135โ€“146

  • Title: The Mackey-Glass Type Delay Differential Equation with Uniformly Generated Constants
    Authors: OS Adesina, OO Agboola, OK Famurewa
    Year: 2018
    Citations: 5
    Source: International Journal of Mechanical Engineering and Technology, 9(9), 467โ€“477

  • Title: An Empirical Comparison of the Academic Performance of Students in the Distance Learning and Traditional Classroom Environment
    Authors: I Adeleke, OS Adesina
    Year: 2018
    Citations: 5
    Source: Social Science Asia, 4(1), 26โ€“41

  • Title: Statistical Analysis of the Effect of Environmental Degradation on Mortality Rate: A Vector Autoregressive (VAR) Model Approach
    Authors: AF Adedotun, OG Obadina, OS Adesina, KO Omosanya, RJ Dare
    Year: 2018
    Citations: 5
    Source: International Journal of Science and Engineering Invention, 4(11), 5โ€“14

  • Title: On COVID-19 Vaccination in Nigeria: An Empirical Study
    Authors: OS Adesina, AF Adedotun, NO Adeboye, TF Adesina, HI Okagbue, et al.
    Year: 2023
    Citations: 4
    Source: International Journal of Design & Nature and Ecodynamics, 18(1), 219โ€“224

  • Title: Bayesian Optimization for Parameter of Discrete Weibull Regression
    Authors: DM Adesina, OS Adesina, SA Onanaye, A Samson, D Okewole
    Year: 2020
    Citations: 4
    Source: Journal of Advances in Mathematics and Computer Science, 34(6), 1โ€“13

  • Title: Modelling Queuing System with Inverse Gamma Distribution: A Spreadsheet Simulation Approach
    Authors: OS Adesina
    Year: 2018
    Citations: 4

  • Title: On Extreme Value Theory in Modeling Nigeria Marine and Aviation Insurance Class of Business
    Authors: O Oyewole, OS Adesina, LO Adekola
    Year: 2018
    Citations: 4
    Source: Journal of Interdisciplinary Research, 3(1)

  • Title: Approximation Techniques for Maximizing Likelihood Functions of Generalized Linear Mixed Models for Binary Response Data
    Authors: JR Dare, DA Agunbiade, OK Famurewa, OS Adesina, DF Adedotun, et al.
    Year: 2018
    Citations: 4
    Source: International Journal of Engineering & Technology, 7(4), 4911โ€“4917

  • Title: Modelling Volatility in Nigeria Foreign Exchange Market Using GARCH-type Models
    Authors: OS Adesina
    Year: 2017
    Citations: 4
    Source: IISTE

  • Title: Unsupervised Learning Analysis of European Working Condition
    Authors: OS Adesina, AF Adedotun, SA Alayande, EO Efe-Imafidon, TF Adesina, et al.
    Year: 2024
    Citations: 3
    Source: Cogent Business & Management, 11(1), 2316644

  • Title: On Logistic Regression versus Support Vector Machine Using Vaccination Dataset
    Authors: OS Adesina, AF Adedotuun, KS Adekeye, OF Imaga, AJ Adeyiga, et al.
    Year: 2024
    Citations: 3
    Source: Journal of the Nigerian Society of Physical Sciences, 1092โ€“1092

  • Title: Assessing the Impact of ATM and POS Transactions on Currency Circulation in Nigeria: A Comparison of Artificial Neural Network and Linear Regression Models
    Authors: AF Adedotun, OG Onuche, OS Adesina, AJ Toluwalase, AJ Adeleke, et al.
    Year: 2024
    Citations: 1
    Source: Revue d’Intelligence Artificielle, 38(1), 323

  • Title: A Lotka-Volterra Non-linear Differential Equation Model for Evaluating Tick Parasitism in Canine Populations
    Authors: OS Unyime, Johnson, Adesina
    Year: 2023
    Citations: 1
    Source: Mathematical Modelling of Engineering Problems, 10(4), 1199โ€“1206

  • Title: Regularized Models for Fitting Zero-Inflated and Zero-Truncated Count Data: A Comparative Analysis
    Authors: OS Adesina
    Year: 2023
    Citations: 1
    Source: Mathematical Modelling of Engineering Problems, 10(4), 1135โ€“1141

  • Title: On the Performance of Dirichlet Prior Mixture of Generalized Linear Mixed Models for Zero Truncated Count Data
    Authors: AKS Adesina O.S
    Year: 2023
    Citations: 1
    Source: Journal of Statistics Application & Probability, 12(3), 1169โ€“1178

  • Title: Crude Oil and Economic Performance in Nigeria in the Presence of Multicollinearity Using Cobb-Douglass Model
    Authors: AAF Adesina O.S
    Year: 2025
    Source: International Journal of Energy Economics and Policy, 15(2), 666โ€“679

  • Title: Impact of Artificial Intelligence in Human Resource Management: A Cross-Sectional Study of Travel Industry in South Africa
    Authors: LO Obokoh, OS Adesina, MN Masuku
    Year: 2025
    Source: International Conference of Accounting & Business, 749โ€“759

Conclusion ๐Ÿ“Œ

Dr. Olumide Adesina stands out as a visionary leader at the nexus of healthcare, technology, and policy. With a solid foundation in medical education, extensive clinical and public health experience, and a passion for digital transformation, he has become a force for innovation in Africaโ€™s health sector ๐Ÿš€๐Ÿฅ. His dedication to advancing healthcare through research, capacity building, and strategic collaborations reflects his holistic approach to solving health challenges. Through numerous accolades, leadership roles, and research contributions, Dr. Adesina continues to inspire change and drive progress in global health ๐ŸŒ๐Ÿ‘. He remains committed to empowering communities, enhancing health access, and shaping a future where technology and human-centered care go hand in hand for better health outcomes for all ๐Ÿง‘โ€โš•๏ธ๐Ÿ’ก.