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
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Research Articles
- Application of Virtual Reality (VR) in Facility Management Competency-based Training (CBT) in the Era of Industrie 5.0
- Prevalence of Non-specific Low Back Pain Among Chinese Healthcare Workers (Surgeons and Surgical Nurses): A Multi-Center Survey Study
- Homologous Series of Chemical Compounds in Three-component Systems (Aa+ – Bb+ – Cc–) and (Zn2+ - Ge4+ - P3-) in Generalized Form
- Analysis of the State of Moisture Control to Ensure and Regulate the Quality of Grain and Grain Products
- Contamination in Heat Exchangers: Types, Energy Effects and Prevention Methods
- Use of Augmented Reality as a Radiation-free Alternative in Pain Management Spinal Surgeries
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