Information for Special Issues
IEEE Computational Intelligence Magazine (IEEE CIM) publishes special issues on emerging topics guest edited by distinguished researchers in computational intelligence. Here is some information about how a special issue is organized.
Phase 1 – Proposal: Interested researchers should submit a proposal for the special issue on an emerging topic in computational intelligence, its application fields, or its closely related areas. The proposal should be sent to the Editor-in-Chief (EiC) of IEEE CIM. The proposal should include at least the following components: the theme of the special issue, its relevance/importance and need in the present context, a list of specific topics, a list of potential authors, a feasible time table, and CVs of all proposed guest editors. Note that, the list of potential authors is needed just to get an idea that there are enough researchers to support such a special issue. The special issue would be organized based on an open call for paper and we do not consider special issues based on papers from a conference.
Guest editors must be senior researchers (at least 5 years beyond terminal degree) with significant publication records directly related to the special issue topic area. Past editorial board experience is not required but highly desirable. No more than 4 guest editors will be approved. One guest editor must be a current associate editor of the IEEE Computational Intelligence Magazine.
Phase 2 – Evaluation: The EiC gets the proposal evaluated by several associate editors of IEEE CIM. They take into account various issues including the technical merit, need and relevance, timeliness, and feasibility of such a special issue. Based on the input from the associate editors, the EiC makes a decision on the special issue proposal. The decision could be acceptance, rejection or a revision of the proposal. A revised proposal may again be reviewed by the some associate editors.
Phase 3 – Call for Papers: If a proposal is accepted, the guest editors are asked to prepare a call for papers (CFP) formatted to one IEEE CIM page so that it can be published in IEEE CIM. The CFP should include all relevant information such as the theme, topics, deadlines, and submission guidelines. The CFP is usually announced through IEEE CIM website, CIS Newsletter and published in the CIS Transactions and Magazine.
Phase 4 – Processing: The review process of submitted special issue papers is handled by the guest editors. The review process for special issue papers is exactly the same as that for regular papers. If a paper is authored by any guest editor, then reviewing of that manuscript will be handled by a different associate editor chosen by the EiC. The typical number of accepted special issue papers is three or four. Due to a severe total page number limitation of IEEE CIM, it is not likely that more than four special issue papers can be published in a single issue of IEEE CIM.
Phase 5 – Publication: Once the special issue review process is complete, the EiC requests the guest editors to write a preface to the special issue (usually not more than 2 formatted transactions pages) for inclusion in the special issue. The special issue is then published as soon as possible. Some general points: We do not encourage guest editors to submit papers to the special issue and under no circumstances the guest editors should submit more than one manuscript to the special issue. Please contact the EiC for further information.
Call for Special Issues
- Nov 2017: Computational Intelligence in Aerospace Science and Engineering
- Feb 2018: Computational Intelligence for Mobile Network Optimization
- May 2018: Automated Design of Machine Learning and Search Algorithms
- Aug 2018: Computational Intelligence Techniques in Bioinformatics and Bioengineering
- Nov 2018: Computational Intelligence in Finance and Economics
- Feb 2019: Memorial Special Issue for Prof. Lotfi A. Zaheh
- May 2019: Affective Computing and Sentiment Analysis
- Aug 2019: Special Issue on Deep Reinforcement Learning and Games
- Nov 2019: Computational Intelligence for Internet of Things in the Big Data Era
- May 2020: Evolutionary Machine Learning