Recent Computational Methods in Knowledge Engineering and Intelligence Computation

Submission Deadline: 15 December 2017

IEEE Access invites manuscript submissions in the area of Recent Computational Methods in Knowledge Engineering and Intelligence Computation.

The computational methods in the field of knowledge engineering and intelligence computation have been developed and broadened over the years. Knowledge engineering serves as a transfer to process knowledge source to the expert system, which involves all scientific and social aspects. Especially, featured by its multidisciplinary, knowledge engineering fuses theories and methods from expert systems, information systems, artificial intelligence, etc. Additionally, intelligence computation research has become a vital part in the research of various fields like mathematics, physics, aerospace, biochemistry, stock-market, electronic devices and other domains. Recently, Knowledge-based Computing organizes an emerging area of intensive research located at the intersection of intelligence computation and knowledge engineering. It includes computational methods coming from different computational paradigms, such as evolutionary computation and nature-inspired algorithms, logic programming and constraint programming, fuzzy sets and many others. With this perspective, this Special Section in IEEE Access has been put together to bring the cutting-edge research in all aspects of knowledge engineering and intelligence computation including experimental and theoretical research, applied techniques and real-world applications to the entire society to promote research, sharing, and development.

The topics of interest include, but are not limited to:

  • Computational intelligence in cloud based computing
  • Computational Methods in knowledge engineering
  • Evolutionary Computation
  • Hybrid Learning, Machine Learning Applications
  • Deep learning and applications
  • Bioinformatics, and computational biology
  • Heuristic optimization techniques
  • Markov chain Monte Carlo (MCMC) methods
  • Knowledge acquisition and discovery techniques

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.


Associate Editor: Xiangtao Li, Northeast Normal University, China

Guest Editors:

  1. Zhiqiang Ma, Northeast Normal University, China
  2. Yanmei Hu, Chengdu University of Technology, China
  3. Jian Zhang, Xinyang Normal University, China
  4. Dong Xu, University of Missouri, USA
  5. William Guo, Central Queensland University, Australia
  6. Handing Wang, University of Surrey, UK


Relevant IEEE Access Special Sections:

  1. Big Data Analytics in Internet-of-Things and Cyber-Physical System
  2. Complex System Health Management Based on Condition Monitoring and Test Data
  3. Advanced Data Analytics for Large-scale Complex Data Environments

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: