Conference Information

IEEE ICCBE 2026: International Conference on Computation, Big-Data and Engineering

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Submission Date:
2026-04-15
Notification Date:
2026-04-30
Conference Date:
2026-06-21
Location:
Guam, USA
Years:
3
Viewed: 1941   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

41.7 / 100
Ranked #4,707 of 5,687 conferences · Top 83%
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
37
Community attention (10%)
15
Public record completeness (15%)
35

Inputs used: Editions on record: 3 · Researchers who opened this page in the past 24 months: 6

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-30

Call For Papers

IEEE ICCBE 2026 (International Conference on Computation, Big-Data and Engineering) is an academic conference held in Guam, USA on 2026-06-21. The paper submission deadline is 2026-04-15. Acceptance notifications are sent on 2026-04-30.

Technical papers on the aspects related to (but not limited to) those in the topics of interest are invited for oral or poster presentation. The program committee encourages the submission of invited sessions with at least six manuscripts on a well-defined subject of current interest. If you are interested in this, please fill in the form by the online submission system http://www.iccbe.asia/. All papers in invited sessions will be subject to review and assessment by the Program committee. Topics of interest include as followings: (A) Internet & IOT technology (B) Communication Science & Engineering (C) Computer Science & Information Technology (D) Computational Science & Engineering (E) Big-data application (F) Electrical & Electronic Engineering (G) Mechanical & Automation Engineering (H) Robotics and Automation (I) Additive Manufacturing Technology (J) Smart Manufacturing Technology for Industry 4.0 (K) Applied Mathematics and programing (L) Others
Last updated by Dou Sun on

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