IEEE TNNLS Call for Associate Editors

 

Please note that new positions will become available for joining the Editorial Board of the IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Candidates interested in applying must submit via email, in a single PDF file, to the Editor-in-Chief of TNNLS (Prof. Yongduan Song <ieeetnnls@cqu.edu.cn>) the following information:

  • A detailed CV in English. It's particularly important that you clearly mark your journal publications related to neural networks and learning systems. Also, please provide details of your academic/industrial credentials as well as your affiliation, including your current position. It is desirable that you also provide an institutional webpage whenever possible.
  • Publications in TNNLS (particularly in the last 5 years). Please provide as much detail as possible.
  • Special issues at TNNLS and/or Special Sessions that you had organized at the IEEE congress on NN and the related learning systems. Provide as much detail as possible including the names of your co-organizers/guest co-editors as well as the number of papers submitted and accepted.
  • IEEE CIS Membership (are you currently an IEEE and/or CIS member)? If so, what is your status? Member, Senior Member, Fellow).
  • From 4 to 8 areas of expertise within neural networks and learning systems in which you could handle submissions (please indicate relevant publications from your CV in each of the areas selected).
  • Prior experience as a reviewer for TNNLS. Have you reviewed papers for TNNLS? If so, since what year or within what time period? Please provide as much detail as possible.

Deadline for applying

12 December, 2023

Notifications

12 January, 2024

Please note that all applications will be carefully reviewed considering several elements, including: prior editorial experience, topics of expertise, and publications record. Note however that all candidates who get pre-selected are subject to the approval of the Vice-President for Publications and of the President of the IEEE Computational Intelligence Society. Female candidates and people with affiliations in industry and/or government are strongly encouraged to apply.