Prof. Yi Xiao, Central China Normal University, China.
Yi Xiao
is a professor at Central China Normal University specializing in economic forecasting, data mining, business intelligence, and big data management. With a robust background in developing intelligent
forecasting models, he integrates them into policy simulations and economic planning. His research spans risk management, decision support systems, and macroeconomic monitoring. Yi Xiao has served as a Visiting Scholar at Hong Kong City University and a Postdoctoral Researcher at the Academy of Mathematics and Systems Science. He is dedicated to blending artificial intelligence and quantitative techniques to solve complex economic challenges.
Publication profile
Education and Experience
Education:
- Postdoctoral Researcher in Management Science and Engineering, Academy of Mathematics and Systems Science, Beijing, China (2011–2014).
- Visiting Scholar, Center for Transport, Trade, and Financial Studies, Hong Kong City University (2012–2014).
Experience:
- Professor, Central China Normal University, Wuhan, Hubei, China.
- Conducted groundbreaking research on intelligent forecasting models and container port predictions.
- Collaborated on high-impact projects with the People’s Bank of China and other national bodies.
Suitability For The Award
Professor Yi Xiao is a highly deserving candidate for the Best Researcher Award, given his groundbreaking contributions to economic forecasting, data mining, and big data management. His innovative approaches to integrating intelligent forecasting models with policy simulations and economic planning have set new benchmarks in research and development, making him a leader in his field.
Professional Development
Yi Xiao
has significantly contributed to advancing data mining, economic forecasting, and decision support systems. As a reviewer for high-impact journals like IEEE Transactions and the
Journal of Forecasting 
, he actively shapes academic discourse. Yi Xiao also serves as an Editorial Board Member of
Advances in Information Sciences and Service Sciences and is a member of prominent AI and data science organizations. His professional endeavors focus on fostering innovative research and integrating advanced methodologies into economic and policy planning. His expertise in intelligent systems and data-driven solutions underpins his impactful career.
Research Focus
Yi Xiao’s research centers on economic forecasting, big data management, and business intelligence
. He is passionate about designing integrated intelligent
forecasting models that combine AI and optimization techniques to tackle economic and financial challenges
. His work has significant applications in macroeconomic monitoring, risk management, and policy planning, offering innovative tools for global trade management and sustainability
. Yi Xiao’s focus on combining quantitative methods with decision support systems has driven impactful solutions for businesses and governments alike.
Awards and Honors
Third Prize, Wuhan Science and Technology Progress Award for the project Research on the Development and Application of E-commerce in Hubei Province (2014).
Reviewer, High-impact SSCI/SCI journals such as IEEE Transactions, Journal of Forecasting, and Neural Computing and Applications.
Editorial Board Member, Advances in Information Sciences and Service Sciences.
Memberships, Prestigious academic organizations in data science, artificial intelligence, and optimization.
Publications Top Notes
“Interlayer and Phase Engineering Modifications of K-MoS2@C Nanoflowers for High-Performance Degradable Zn-Ion Batteries” (Small, 2024) – Cited by: 7 - “Molecular Design of Layered Hybrid Silver Bismuth Bromine Single Crystal for Ultra-Stable X-Ray Detection With Record Sensitivity” (Advanced Materials, 2024) – Cited by: 23
- “Recent Advances in Biodegradable Implantable Electrochemical Energy Storage Devices” (Scientia Sinica Technologica, 2024) – Cited by: 0
- “In Situ Fabrication of Hierarchical CuO@CoNi-LDH Composite Structures for High-Performance Supercapacitors” (ACS Applied Materials and Interfaces, 2024) – Cited by: 6
- “The Rise of Supercapacitor Diodes: Current Progresses and Future Challenges” (Chinese Physics B, 2024) – Cited by: 2
- “A Soft Implantable Energy Supply System That Integrates Wireless Charging and Biodegradable Zn-Ion Hybrid Supercapacitors” (Science Advances, 2023) – Cited by: 32