IEEE CIS Transactions on Neural Networks and Learning Systems Outstanding Paper Award Nomination Instructions
The IEEE Computational Intelligence Society (CIS) annually recognizes outstanding papers published in the IEEE Transactions on Neural Networks and Learning Systems (TNNLS) through its TNNLS Outstanding Paper Award established in 1997. For the current round of competition, any paper published in 2021 (Volume 32) is eligible for consideration. The prize includes a $1,000 honorarium, to be split equally among co-authors, and certificates to the author and coauthors of the selected paper. Please note no self-nomination is allowed. For those who are interested in submitting a nomination for the IEEE CIS Transactions on Neural Networks and Learning Systems Outstanding Paper Award, the materials needed are the following:
Nomination Letter with the following information:
- Nominator: name, affiliation, and email address of nominator
- Nominated Paper: full citation of the paper, including the author's list, paper title, volume, issue, and page numbers, and the year of publication.
- Basis for Nomination: detailed analysis to justify the overall quality of the paper.
- Up to three reference letters supporting the nomination.
- Nominated paper in PDF format.
The complete nomination packet must be saved in a single pdf file containing the above information in the given order. The name of the file must be surname_of_the_first_authorTNNLS.pdf.
The complete nomination packet must be submitted by email to the Awards Soliciting Nominations Subcommittee Chair, Nikhil Pal at nrpal59@gmail.com and a copy to cis-info@ieee.org. Only when the Awards Soliciting Nominations Subcommittee Chair acknowledges receipt of the nomination packet, the submission procedure can be considered complete.
The deadline is April 30 (strict deadline). Self-nominations are not allowed.
If you have any questions regarding the IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award nomination, please feel free to contact Awards Committee Chair CT Lin at Chin-Teng.Lin@uts.edu.au.