Muyangzi Lin | energy economics | Best Researcher Award

Muyangzi Lin | energy economics | Best Researcher Award

 

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Muyangzi Lin, a 31-year-old researcher and lecturer based in Changsha, China, has established himself as a notable figure in the fields of energy economics and machine learning. šŸŒ His academic journey includes obtaining a graduate degree in Statistics from the Institute of Mathematics and Statistics at Central South University. Lin’s research focus spans hybrid forecasting frameworks for crude oil prices, fault diagnosis methodologies using deep neural networks, and innovative approaches for lithium battery fault detection in electric vehicles.

Lin’s significant contributions are reflected in his published works, including articles in prestigious journals such as IEEE Access and the Journal of Computing and Information Science in Engineering. šŸ“š His commitment to academic excellence has earned him the 2016 National Scholarship for Graduate Students and the Second Prize at the Hunan Management Science Society Conference in 2020.

Currently serving as a lecturer at the School of Information Technology and Management, Hunan University of Finance and Economics, Lin actively contributes to national research projects. His work encompasses the integrated optimization of large-scale project scheduling and material supply, demonstrating his expertise in navigating complex and uncertain environments. šŸš€ Muyangzi Lin’s multidisciplinary research endeavors showcase his dedication to advancing knowledge at the intersection of statistics, machine learning, and energy economics. šŸ’”

šŸŒ Professional Profiles

Current Position

Lecturer, School of Information Technology and Management, Hunan University of Finance and Economics (July 2023 – Present)

Scientific Achievements

šŸ† Second prize of Hunan Management Science Society Conference in 2020. šŸŽ“ 2016 National scholarship for graduate students

šŸŽ“Education

Graduate Student at Institute of Mathematics and Statistics, Central South University (September 2018 – July 2023) – Statistics. Graduate Student at Institute of Mathematics and Statistics, Central South University (September 2015 – June 2018) – Statistics. Ā Bachelor’s Degree in Finance, Shuda Institute of Hunan Normal University (September 2010 – June 2014)

šŸ“ŠResearch Experience

National Natural Science Foundation of China, Surface Project (72071075): Integrated optimization of large-scale project scheduling and material supply in Complex and uncertain Environment. Duration: 2021/01/01-2024/12/31. šŸ‘„ Role: In research, participation. Hunan Province Key Research and Development Plan Project (2023GK2011): EDA tool research and development for chip security. Role: In research, participation.

šŸ’”Research Interests

Energy Economics Ā Machine Learning , Prognosis and Health Management,Ā Ā Modeling

 

šŸ“šTop Noted Publication

“A hybrid crude oil price forecasting framework: Modified ensemble empirical mode decomposition and hidden Markov regression.”

 

“A data-driven fault diagnosis method using modified health index and deep neural networks of a rolling bearing.”

 

“A Hybrid Multiscale Permutation Entropy-Based Fault Diagnosis and Inconsistency Evaluation Approach for Lithium Battery of E-Vehicles.”

 

“Exploration of the hierarchy and dynamic mechanism of technological innovation.”