International Conference on Big Data and Computing ICBDC on May 16-18, 2026 in Jeju City, Republic of Korea - Conference Index

International Conference on Big Data and Computing ICBDC on May 16-18, 2026 in Jeju City, Republic of Korea

International Conference on Big Data and Computing (ICBDC) May 16, 2026 - Jeju City, Republic of Korea

Publication:

Submissions will be reviewed by the conference committees, and Accepted papers of ICBDC2026 will be published in the Conference Proceedings, which will be submitted to EI Compendex and Scopus for indexing.


Submission:

1. Full paper(publication and presentation)

2. Abstract (presentation only)


There are two methods for submitting your paper:

1. By Electronic Submission System: https://www.zmeeting.org/submission/icbdc2026

2. By our contact email: [email protected]

More detail about submission, please visit at https://icbdc.org/author.html#sub


Program at A Glance:

Saturday, May 16, 2026 | Conference Registration and Materials Collection/Pre-test for online sessions

Sunday, May 17, 2026 | Opening Remarks & Keynote & Invited Speeches & Onsite Sessions & Dinner

Monday, May 18, 2026 | Onsite: City Tour & Online Sessions


Contact:

Ms. Avery Kim (Conference Secretary)

Email: [email protected]

Telephone: +86-18081079313 (Working hour: GMT+8 10:00 am to 5:30 pm)

Call for paper:

Algorithmic, experimental, prototyping and implementation

Big Data Algorithms, Applications and Services

Big Data Mining and Analytics

Big Data Processing and Querying

Cloud and Big Data for Internet of Things (IoT)

Computing, scheduling and resource management for sustainability

Government and Industrial Experiences for Cloud and Big Data

Green Computing and Networking Technologies for Cloud and Big Data

Software Engineering for Cloud Computing and Big Data

Software, hardware and algorithm co-design, high-performance computing

Software and tools for big data management

Cloud Computing Solutions and Platforms

Privacy and Security for Cloud and Big Data

Big Data Education

Data quality issues: such as validation, metrics, optimizations and consistency

Data-driven innovation, computational modelling and data integration

Data intensive computing theorems and technologies

For details about topics, please visit at https://icbdc.org/cfp.html


Name: International Academy of Computing Technology
Website: http://www.iact.net/

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