Conference Information

CCGE 2026: International Conference on Computing, Communication and Green Engineering

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Submission Date:
2025-11-30
Notification Date:
2025-12-31
Conference Date:
2026-05-07
Location:
Pune, India
Years:
2
Viewed: 2889   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

39.9 / 100
Ranked #5,005 of 5,645 conferences · Top 89%

#769 of 861 in Networks & Communications

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%)
30
Community attention (10%)
12
Public record completeness (15%)
35

Inputs used: Editions on record: 2 · Researchers who opened this page in the past 24 months: 4

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 2026-08-31

Call For Papers

CCGE 2026 (International Conference on Computing, Communication and Green Engineering) is an academic conference held in Pune, India on 2026-05-07. The paper submission deadline is 2025-11-30. Acceptance notifications are sent on 2025-12-31.

The conference welcomes papers in the following areas (but not limited to): Green Computing Green computing and energy-efficient IT solutions for sustainable technology development. Cloud Computing Cloud computing and sustainable data centers for efficient resource utilization. Cyber Security Cyber security in the era of digital transformation and emerging threats. 5G Networks Advanced 5G network technologies, applications, and security considerations. Sustainable IT Practices Sustainable IT practices for reducing environmental impact and carbon footprint. AI for Sustainability Artificial Intelligence (AI) and machine learning applications for sustainability.
Last updated by Dou Sun on

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