IEEE BigComp 2027 — IEEE International Conference on Big Data and Smart Computing

IEEE BigComp 2027, the 2027 IEEE International Conference on Big Data and Smart Computing, runs January 25-28, 2027 at the Fukuoka International Congress Center in Fukuoka, Japan. KIISE founded the series in 2014 and co-sponsors it with IEEE; the first edition was in Bangkok and the 2026 edition was in Guangzhou. The call for papers covers AI for big data, big data in the era of LLMs, machine learning theory, knowledge graphs, recommender systems, multimodal data, retrieval and generation, and security and privacy for big data. It accepts research and industry full papers (8 pages), short papers (4 pages), posters and demos, and proceedings are published in IEEE Xplore. The submission deadline was extended to October 16, 2026.

• Paper submission deadline (extended)Oct 16, 2026
• Notification to authorsNov 30, 2026

Date

January 25–28, 2027

Location

Fukuoka International Congress Center, Japan

Format

In-Person

Event Type

Conference

Status

Upcoming

Pricing

Paid

Organizer

IEEE and KIISE (Korean Institute of Information Scientists and Engineers)

Added

Oct 9, 2026

Updated

Oct 9, 2026

• ✓Data engineering researchers
• ✓Machine learning researchers
• ✓Data platform architects
• ✓Industry data scientists
• ✓Graduate students
• ✓Database and information retrieval engineers

BigComp is a practical stop for data platform and AI leaders working in Asia-Pacific. Its program sits where data infrastructure meets LLMs: retrieval and generation over large corpora, knowledge graphs, data quality and privacy, which are the parts that decide whether an enterprise RAG or analytics system works in production. A head of data or chief architect can review peer-reviewed results on those problems, meet researchers from Korean and Japanese universities and industry labs, and submit their own team's practice as an industry paper.

• ✓AI for big data and smart computing
• ✓Big data in the era of LLMs
• ✓Knowledge graph, graph data management and mining
• ✓Search/retrieval and generation of big data
• ✓Security and privacy for big data
• ✓Research and industry paper tracks with poster and demonstration papers

• ★A long-running IEEE and KIISE series (since 2014) with a strong base in the Korean, Japanese and Chinese database and data mining communities.
• ★Has explicit industry paper categories at full and short length, so product and practice papers get peer review rather than a sponsor slot.
• ★Its call for papers includes big data in the era of LLMs and search, retrieval and generation, which tie data infrastructure work to current generative AI systems.
• ★Requires in-person presentation for accepted papers except in exceptional cases, so the sessions are live rather than pre-recorded.

Registration fees have not been published on the conference site yet. At least one author of each accepted paper must register and present in person.

When is IEEE BigComp 2027?

IEEE BigComp 2027 takes place January 25–28, 2027 in Fukuoka, Japan.

Where is IEEE BigComp 2027 held?

IEEE BigComp 2027 is held in Fukuoka, Japan. The event format is in-person.

What is the IEEE BigComp 2027 submission deadline?

The next IEEE BigComp 2027 deadline is paper submission deadline (extended) on Oct 16, 2026. Remaining dates: Notification to authors — Nov 30, 2026.

How much does IEEE BigComp 2027 cost?

IEEE BigComp 2027 is paid. Registration fees have not been published on the conference site yet. At least one author of each accepted paper must register and present in person.

Who should attend IEEE BigComp 2027?

IEEE BigComp 2027 is aimed at Data engineering researchers, Machine learning researchers, Data platform architects, Industry data scientists, Graduate students, Database and information retrieval engineers.

What topics does IEEE BigComp 2027 cover?

IEEE BigComp 2027 covers Big data analytics, Large language models and big data, Machine learning theory, Knowledge graphs, Recommender systems, Multimodal data, Data quality, Security and privacy for big data, Cloud computing.

This page was written from 3 sources, 2 on domains other than bigcomp2027-website.pages.dev.

1. 1.bigcomp2027-website.pages.dev — call for papersvendor
2. 2.dbjapan.dbsj.org — MMON4DTPPEZ3TOYSUMZ3CJ66F3KAPTPV
3. 3.en.wikipedia.org — International Conference on Big Data and Smart Computing