Topic: Decision, Risk Analytics and Data Intelligence

■Guest Editors-in-Chief 
Xiaozhe Zhao, Chinese Academy of Engineering
Desheng Wu, University of Chinese Academy of Sciences

■Guest Editors  
C.L. Philip Chen, University of Macau，China
James H. Lambert, University of Virginia, USA
O'Neill Liam, University of North Texas, USA
Jiafu Tang, Dongbei University of Finance and Economics, China
Sifeng Liu, Nanjing University of Aeronautics and Astronautics, China 
Minqiang Li, Tianjin University, China
Bintong Chen, Southwestern University of Finance and Economics, China
Fei Qiao, Tongji University, China
Liang Liang, Hefei University of Technology， China
Jiye Mao, Renmin University of China, China
Qiang Ye, Harbin Institute of Technology, China
Yugang Yu, University of Science and Technology of China, China
Vincenzo Piuri, Università degli Studi di Milano, Italy
Alexandre Dolgui, Ecole des Mines de Nantes, France
David Olson, University of Nebraska, USA
Delen Dursun, Oklahoma State University, USA
Tsan-Ming Jason Choi, The Hong Kong Polytechnic University, China
Zhimin Huang, Adelphi University, USA
Weiguo Zhang, South China University of Technology，China
Dengfeng Li, Fuzhou University，China
Zhiping Fan, Northeastern University， China
Tieju Ma, East China University of  Science &Technology，China
Vladimir Korotkov, University of Chinese Academy of Sciences，China

■Description 
Frontiers of Engineering Management is a research journal sponsored by the Chinese Academy of Engineering, administered jointly by Tsinghua University and Huazhong University of Science and Technology, and published by Higher Education Press, China.  The journal is international in its scope and mission.  It is published quarterly in English in both print and online versions. Frontiers of Engineering Management provides a high-quality international platform for academic researchers, industry professionals and other constituent communities in the broad field of engineering management to impart and share the latest research results and knowledge in the form of research articles, reviews, letters and comments.  
Frontiers of Engineering Management strives to promote the advancement of the science of engineering management, the improvement of the practice of engineering management, and the preparation of researchers and practitioners to address contemporary and future challenges in engineering management. The topics covered by the journal include general, specialty and cross-disciplinary studies in engineering management, both theoretical and applied, and studies related to engineering management education worldwide. 
 
■Aims and scope  
Today, the world is going through the era of big data when decision makers are overloaded with unstructured data and try to make right decision in the fluctuating world. Most of the time data need validation, collation, and structuralisation. Well-structured, correctly analyzed at the right time, data will help in choosing priorities, detecting threats and finding ways of development. Meanwhile, many decisions are still made under uncertainty and without proper risk management.
Series of recent economic crises in the mix with technogenic catastrophes and natural disasters point out the needs of developing cutting edge approaches and strategies for designing state-of-the-art tools and methods in supporting decisions.

The special issue of “Frontiers of Engineering Management” is intending to provide space for exploring new ideas, concepts and investigations on the theme “Decision, Risk Analytics and Data Intelligence”. High-quality submissions are invited for the special issue that addresses the research in risk analysis, data-driven decision making using intelligence techniques.

Topics to be covered include, but are not limited to:

   ●  Intelligent risk analysis methods and models
   ●  Measures and metrics for risk management
   ●  Intelligent data analysis and deep learning
   ●  Models for data-based analytical decisions
   ●  Decision Support Systems
   ●  Data-mining theory and algorithms for improving business performance
   ●  Multiple criteria decision making
   ●  Risk analytics in operations management
   ●  Service system engineering and risks
   ●  Data analytics in financial engineering
   ●  Catastrophe management with  risk analytics and data intelligence
   ●  Other issues related to decision, risk analytics and data intelligence
 
■Submission Details  
To submit a manuscript, please visit https://mc.manuscriptcentral.com/fem. Under “Manuscript 
Type”, please select “Decision, Risk Analytics and Data Intelligence”. All manuscripts will be peer-reviewed in accordance with the established policies and procedures of the journal. Papers will be selected for publication following the outcome of the peer review process and subsequent decisions of the Guest Editors and the Editor-in-Chief. 

■Important Dates  
   ●  Submission deadline: October 1, 2018
   ●  Final decision notification: February 1, 2019 
   ●  Expected publication date: March, 2019 (to be determined by the journal editor)