Meng Wan Editor at IgMin Research
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Biography
Meng Wan currently serving as an assistant professor at the Computer Network Information Center of the Chinese Academy of Sciences, has an academic background with a Bachelor's degree from Beijing University of Posts and Telecommunications (2016), a Master's from the University of Southampton, UK (2018), and a Ph.D. from the University of Science and Technology Beijing (2024).
His research spans across software and systems engineering, time series forecasting, and high-performance computing, focusing on interdisciplinary applications such as artificial intelligence cloud platforms, photovoltaic power generation prediction and ecological carbon cycles. He has published more than 20 publications and 1 section of monograph in respected journals and international conferences like IEEE Transactions on Sustainable Energy and the Journal of System Architecture, etc.
He has also played an active role in research projects, hosting/participating in more than 10 national or fund projects. His won the second prize in the ANAC 2018, one of the competition in IJCAI 2018. He further contributes to his field as a reviewer for various international conferences.
Research Interest
System Architecture(software and cloud platform); Multivariate Time Series; Transformer-based Neural Networks; High-performance computing.
Editor
Work Details
Assistant Professor
Chinese Academy of Sciences
Department of Computer Science
China
Contribution by Topic Area
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Research Articles
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Maternal Knowledge and Practices in Caring for Children under Five with Pneumonia: A Cross-Sectional Study in Vietnam
- Study of the Histological Features of the Stroma of High-Grade Gliomas Depending on the Status of the Mutation in the IDH1 Gene
- A Comprehensive Methodology for Assessing the Business Reputation of Industrial and Production Personnel
- The Impact of Stress on Periodontal Health: A Biomarker-Based Review of Current Evidence
- Analytical Expressions of the Markov Chain of K-Ras4B Protein within the Catalytic Environment and a New Markov-State Model
