About to SCDA 2027
The 2027 International Conference on Intelligent Computing and Data Analysis focuses on cutting-edge directions such as intelligent computing, data analysis, machine learning, and big data processing, bringing together representatives from universities, research institutions, and enterprises around the world to exchange ideas on algorithm innovation, system construction, data governance, and application practices. The conference aims to promote interdisciplinary cooperation, advance the development of intelligent computing technology and data analysis methods, and provide a platform for researchers in related fields to showcase their achievements and engage in academic dialogue. The conference includes themed presentations, seminars, paper presentations, and technical exchanges, covering topics such as basic theories of artificial intelligence, intelligent system development, data mining, visual analysis, privacy protection, and trusted computing. Attendees can share the latest research findings, explore industry development trends, expand international cooperation channels, and jointly promote sustained progress in this field.
IMPORTANT DATES
2026-12-25-Submission Deadline
2027-01-01-Registration Deadline
2027-01-08-Conference Date
About a week after the submission-Notification Date
RECORD
All full paper submissions to the SCDA 2027 could be written in English and will be sent to at least two reviewers and evaluated based on originality, technical or research content or depth, correctness, relevance to conference, contributions, and readability. All accepted papers of SCDA 2027 will be published in the conference proceedings, which will be submitted to EI Compendex, Scopus for indexing.
Paper template
Please refer to the paper template for layout
Click to download
Register
All attendees must register in advance to attend the meeting
Consulting service
Submit
Please submit the full text/abstract of the paper to us through the electronic submission system
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Call For Papers
Intelligent Computing
Genetic Algorithm
Evolutionary Computing And Learning
Group Intelligence And Optimization
Independent Component Analysis
Natural Computing
Quantum Computing
Neural Network
Fuzzy Theory And Algorithms
Ubiquitous Computing
Machine Learning
Deep Learning
Natural Language Processing
Intelligent Control And Automation
Intelligent Data Fusion
Intelligent Data Analysis And Prediction
Data Analysis
Data Mining
......
Indexing Service
Technical Sponsor
Call for Reviewers
As a platform for global academic communication, the quality of conference publication has always an aspect attracting much of our attention. To ensure quality of our publication and to better serve the peers in academic circle, we now call for reviewers among professionals and experts of the world. Professionals and experts who hold PhD (doctoral) degree in the conference related areas are encouraged to join in us and together, we will work hard to become a world-class academic conference. Please send us your CV by email (scda@global-confs.com) if you are interested in it.
SCI Journal
Contributors are encouraged to submit papers / abstracts to the conference. The organizing committee will select high-quality papers and recommend them to SCI/SSCI journals. For specific matters, please contact the person in charge of the conferrence.
Submission Guidelines
Delegates are encouraged to submit their papers/abstracts to the conference. Good quality papers will be selected by the organizing committee and Prof. Soteris Kalogirou, the editor in chief. After it, the authors will be invited to extent their papers/abstracts and submit them to scda@global-confs.com. The normal size of research papers is 4,000-6,000 words excluding abstract and references.
Submission Portal
If you have any questions or need any help about the conference, please feel free to contact our conference experts on the right:
曹老师
TEL:16788019849
QQ:1826856307
E-mail:scda@global-confs.com
About Plagiarism Check
Crosscheck Powered by iThenticate will be used for plagiarism check. The amount of duplication from previously published content should be less than 20%; If the amount of duplication is 20% - 35%, modification maybe required; if the amount of duplication exceeds 35%, the article will be rejected. Please note that there will be no refund for no-shows.