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Abstract

Meng Wan Editor at IgMin Research

Our purpose is to enhance the dialogue between researchers from different scientific areas.

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.

Meng Wan

Editor

Work Details

 Assistant Professor

 Chinese Academy of Sciences

 Department of Computer Science

 China

Contribution by Topic Area

Why Publish with us?

  • Global Visibility – Indexed in major databases

  • Fast Peer Review – Decision within 14–21 days

  • Open Access – Maximize readership and citation

  • Multidisciplinary Scope – Biology, Medicine and Engineering

  • Editorial Board Excellence – Global experts involved

  • University Library Indexing – Via OCLC

  • Permanent Archiving – CrossRef DOI

  • APC – Affordable APCs with discounts

  • Citation – High Citation Potential

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