Conference Information

CSDE 2026: Asia-Pacific Conference on Computer Science and Data Engineering

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Submission Date:
2026-09-05
Notification Date:
2026-09-20
Conference Date:
2026-11-01
Location:
Cox's Bazar, Bangladesh
Years:
Viewed: 13997   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

50.8 / 100
Ranked #1,390 of 5,682 conferences · Top 25%

#69 of 337 in Data Mining & Databases

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%)
67
Community attention (10%)
17
Public record completeness (15%)
55

Inputs used: Editions on record: 11 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · 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 2026-09-16

Call For Papers

CSDE 2026 (Asia-Pacific Conference on Computer Science and Data Engineering) is an academic conference held in Cox's Bazar, Bangladesh on 2026-11-01. The paper submission deadline is 2026-09-05. Acceptance notifications are sent on 2026-09-20.

Topic of Interest COMPUTER SCIENCE Biomedical Engineering- Theory and Practice; Blockchain: Theory, Application and Security; Computer Vision – Algorithms and Applications; Computer human interaction; Cloud Computing; E-Health; E-Learning; Edge/Fog Computing; Green Computing; Information Systems and Security; Internet of Things; Multimedia; Mechatronics and Robotics; Networking Protocol and Security; Privacy, Identity and Trust in E-Society; Quantum Computing; and More. DATA SCIENCE Artificial Intelligence; Application of Data Science in Business, Education, Engineering, Health, Social Sciences and Environment; Autonomous Machines and Intelligent Automation; Big Data Platform: Hadoop, Spark, H2O and others; Data-centric Audit and Protection Tools; Data Pre-Processing: Data Scraping, Data Fusion & Integration, Data Masking and Steam Data; Data Visualization: Collaborative, Co-Located and Distributed; Deep Learning and Convolutional Neural Networks; Machine Learning Algorithms: Supervised and Unsupervised Theory and Applications; Natural Language Processing; NoSQL Theory and Practice; Optimization Theory and Practice; Predictive Modelling and Analytics; Quantum Machine Learning Algorithms and More.
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