Call for Paper of JCEE Special Issue of MLDSG3

☆ Information for Authors

Journal of Civil and Environmental Engineering is a scholarly journal published bimonthly, which is sponsored by Chongqing University. The Journal is the source journal for Chinese Scientific and Technology Papers and Citations. It is on the list of the Guide to Core Journals of China (GCJC), and is indexed in the Chinese Science Citation Database (CSCD), Scopus, and several other databases. The Journal publishes the latest research achievements in the fields of civil engineering, and environmental science and engineering all over the world, for the purpose to promote academic exchanges, foster the development of accomplished scientists, and promote the prosperity and development of related disciplines.

1. Manuscript preparation

(1) Authors who are interested in submitting their research to the Journal should visit the Journal’s official website at http://qks.cqu.edu.cn/cqdxxbcn/home, and carefully read the Guide for Authors and the Publishing Ethical Guidelines at the Authors’ Home before preparing a manuscript.

(2) An informative abstract is required, which should describe the purpose, materials and methods, results and conclusions of the research in no less than 180 English words.

(3) References should be numbered in the order they appear in the main text, and listed at the end of the article in the format indicated in the Guide for Authors at the Journal’s website.

(4) The submission of a manuscript means that the author(s) authorize the editorial office of the Journal to make necessary technical or linguistic corrections to the content of the manuscript.

(5) The submission of a manuscript also means that the author(s) understand the Journal’s publishing ethical policy. It should be noted that academic misconduct is not limited to the forms listed in our Publishing Ethical Guidelines, we adhere to the value of academic integrity, and no form of misconduct is excused.

2. The full text of all articles published in the Journal is accessible for free at the Journal’s website. The electronic versions of all published articles are included in the China National Knowledge Infrastructure (CNKI), Wanfang Database of Scientific & Technological Periodicals, and VIP Database of Chinese Scientific & Technological Periodicals to maximize the accessibility of the articles, except for the articles whose authors have stated upon submitting the articles to the Journal their intention of excluding their work in aforementioned databases.

3. The Journal’s editorial office pays a royalty for each article published in the Journal for the right to include the article in the print and electronic copies distributed by the editorial office itself and third parties it has authorized. For a published article, the authors will be provided with two print copies of the Journal issue which includes the article.

4. Contact information
Tel: +8623-65111322/ +8623-65111863

E-mail: xuebao@cqu.edu.cn

Website: http://qks.cqu.edu.cn/cqdxxbcn/home

Publisher: Editorial Office of Journal of Civil and Environmental Engineering, Journals Department, Chongqing University

Address: No. 174 Shazhengjie, Shapingba District, Chongqing 400044, P. R. China

Editor-in-chief: Professor Hanlong Liu

Prof. Hanlong Liu is the deputy vice President of Chongqing University and Chair professor in Geotechnical Engineering, School of Civil Engineering. He obtained his Bachelor degree from Zhejiang University in 1986 and Ph.D degree from Hohai University in 1994, China. He was awarded the Chang Jiang Scholar Award by the Ministry of Education in 2007 and the Outstanding Young Scholar Award by the National Science Foundation of China in 2008. He got many awards from Chinese government and the best research award of Japanese Geotechnical Society(JGS). He was Huang Wen-xi geotechnical Lecturer in 2013. Prof Liu is Chair of International Society of Soil Mechanics and Geotechnical Engineering (ISSMGE) TC303.

☆ Information of this Special Issue

1） Title of the special issue: Machine Learning & Data Science in Geo-infrastructure，Geosysyem and Geoenvironment (MLDSG3)

2） Proposed manuscript submission and editorial workflow: through email of Leading Guest Editor zhangwg@cqu.edu.cn. Leading Guest Editor will assign manuscript to co-Guest Editor for paper processing.

3） Guest Editors:

Leading Guest Editor: Wengang Zhang, Chongqing University, China

CO-Guest Editor: Bruno Stuyts, Ghent University, Belgium

CO-Guest Editor: Lin Wang, School of Civil Engineering, Chongqing University

CO-Guest Editor: Runhong Zhang, Institute for Smart City of Chongqing University in Liyang, Chongqing University

4） Outline

In recent years, we have entered the so-called Fourth Paradigm in which observational data is threatening to overwhelm scientists. Big data is characterized by the rule of the five Vs: Volume of data, their Variety, Velocity, Value and Veracity. The concept of big data naturally agrees well with the geoengineering and geoscience. This understanding will come through the analysis of increasingly large geo-datasets and from computationally intensive simulations. Large-scale, comprehensive, multidirectional and multifield geotechnical monitoring is becoming a reality in the very near future. Geo-scientists and engineers are faced with the challenge of extracting as much useful information as possible and gaining new insights from these data, simulations, and interplay between the two. The in-depth analysis capabilities such as correction analysis, casual analysis, decision support as well as the rapidly evolving field of machine learning will become the core works in the ear of big data. Furthermore, the site monitoring will be promoted to the same or even more important role as the experiment, theoretical analysis and numerical simulation. On the other hand, scientific geosystem and geoenvironmental data, and the processes used to analyze it, may differ substantially from those encountered with big data in other fields. Therefore, the geotechnical and geological researchers should pay more attention to big data research, enhancing the use of research results of big data from other disciplines to promote the Advances in Machine Learning & Data Science in Geo-infrastructure，Geosysyem and Geoenvironment.

Topics related to the scope of this special issue include, but are not limited to, the application of: