Dr. Yue Xin | inventory management | Women Researcher Award
Ocean university of chain | China
PUBLICATION PROFILE
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📝 Summary
Dr. Yue Xin is a dedicated researcher currently pursuing a Ph.D. in Probability Theory and Mathematical Statistics at China People’s University. His academic work focuses on time series analysis, data-driven decision-making, and inventory management strategies. With numerous published papers in top-tier SCI-indexed journals, he has gained recognition for his innovative contributions to mathematical modeling, particularly in financial markets and environmental science.
🎓 Education
Dr. Yue completed his Bachelor’s in Information and Computational Science from Shandong University, earning a GPA of 87.9/100. He is currently pursuing his Ph.D. at China People’s University with an impressive GPA of 3.84/4, specializing in Probability Theory and Mathematical Statistics. Additionally, he spent a year as a joint Ph.D. student at Nanyang Technological University in Singapore, enhancing his global academic exposure.
💼 Professional Experience
Dr. Yue has participated in several high-profile research projects, contributing to areas such as missile defense strategies, game theory, and underwater confrontation analysis. He played a key role in modeling and solving critical problems using differential game theory. His collaboration with top researchers and institutions has honed his expertise in both theoretical and applied mathematics.
📚 Academic Citations & Publications
Dr. Yue has published several influential papers in prominent journals like the Journal of Computational and Applied Mathematics and Applied Mathematics and Computation. His work includes advanced topics like maximum likelihood estimation, uncertain autoregressive models, and the valuation of options in uncertain fractional-order environments. His papers are highly cited in the academic community, reflecting the impact of his research.
🔧 Technical Skills
Dr. Yue is proficient in multiple programming languages and software tools, including Python, Matlab, R, and C++. He is skilled in using LaTeX for scientific writing and is also well-versed in Microsoft Office. His expertise extends to statistical analysis, machine learning, and developing data-driven models for complex decision-making in finance and risk management.
👨🏫 Teaching Experience
With a passion for teaching, Dr. Yue has served as a teaching assistant for various courses, such as Mathematical Modeling, Game Theory, Probability Theory, and Higher Algebra. He has also assisted in courses on Big Data Analysis and Supply Chain Management, where he shares his extensive knowledge and fosters a dynamic learning environment.
🔬 Research Interests
Dr. Yue’s research interests lie in the fields of time series analysis, differential equations, and data-driven decision-making. He focuses on the development of innovative models for inventory management and risk assessment, and his work is particularly relevant to financial market analysis and environmental forecasting. He is dedicated to applying mathematical techniques to real-world problems.
📚 Top Notes Publications
Maximum likelihood estimation for uncertain autoregressive moving average model with application in financial market
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Authors: Y Xin, J Gao, X Yang, J Yang
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Journal: Journal of Computational and Applied Mathematics
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Year: 2023
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Orthogonal series method for uncertain nonparametric regression with application to carbon dioxide emissions
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Authors: Y Xin, J Gao
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Journal: Communications in Statistics-Simulation and Computation
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Year: 2024
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Power-barrier option pricing formulas in uncertain financial market with floating interest rate
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Authors: H Zhao, Y Xin, J Gao, Y Gao
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Journal: AIMS Math
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Year: 2023
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Time series prediction method for multi-source observation data
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Authors: X Gao, Y Xin, J Yang
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Journal: International Journal of General Systems
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Year: 2024
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Regional express delivery network planning: A location-routing model and two-tier adaptive GA
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Authors: W Li, Y Xin, G Yang
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Journal: Information Sciences
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Year: 2025
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Estimation of parameters and valuation of options written on multiple assets described by uncertain fractional differential equations
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Authors: Y Xin, Y Zhang, I Noorani, F Mehrdoust, J Gao
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Journal: Applied Mathematics and Computation
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Year: 2025
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