Award

IEEE Systems Journal Best Paper Award

Description: The IEEE Systems Journal Best Paper Award of the IEEE Systems Council will be given annually to the papers deemed the best among those published in the IEEE Systems Journal during the preceding calendar year.

Administration: The IEEE Systems Journal Best Paper Award Committee consists of the Editor-in-Chief (EIC), the Deputy Editors-in-Chief, and the Associate Editors of the Journal, and is chaired by the Journal EIC.

Eligibility: All papers published in the IEEE Systems Journal during the preceding calendar year are eligible for the award. Eligibility and selection process shall comply with procedures and regulation established in IEEE and Society governing documents, particularly with IEEE Policy 4.4 on Awards Limitations.

Frequency: This is an annual award. Multiple awards may be given each year: the number of awards shall not exceed 1% of the papers published in the preceding calendar year. The IEEE Systems Journal Best Paper Award Committee Chair determines the maximum number of awards presented each year according to this 1% criterion.

Selection/Basis for Judging: Nominations for this award are solicited by the IEEE ISJ Best Paper Award Committee Chair from all members of the Committee itself.
Scientific, technological, or industrial excellence of the paper will be considered for selecting the awardees.

Prize Items: The prize items for each best paper include a certificate presented to each author and $500 to be shared among the authors.

Funds: This award is funded by the IEEE Systems Council. If the IEEE Systems Council budget will not be net positive prior adding the prize item for each of these awards, the awards may not be selected.

Presentation: This award may be presented to the authors during one of the major conferences sponsored by the IEEE Systems Council.

AWARD RECIPIENTS
2017

Chunsheng Zhu, Hai Wang, Xiulong Liu, Lei Shu, Laurence T. Yang, and Victor C. M. Leung, “A Novel Sensory Data Processing Framework to Integrate Sensor Networks With Mobile Cloud”
Jinsong Wu, Song Guo, Jie Li, and Deze Zeng, "Big Data Meet Green Challenges: Big Data toward Green Applications"