28 Jul
2026
28 Jul
'26
12:56 a.m.
日本データベース学会の皆様
お茶大の小口です。
来年1月25-28日に福岡で開催される国際会議IEEE BigComp 2027の
論文募集をお送り致します。
重複受信の場合にはご容赦ください。
日程は以下を予定しております。
Submission September 30, 2026
Notification November 30, 2026
Camera-ready December, 2026
投稿サイトのEasyChairは近いうちにオープン致します。
投稿をご検討頂けますと幸いです。
どうぞよろしくお願い致します。
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2027 IEEE International Conference on Big Data and Smart Computing
(IEEE BigComp 2027)
https://bigcomp2027-website.pages.dev/
January 25–28, 2027
Fukuoka International Congress Center, Fukuoka, Japan
Big data and smart computing are emerging research fields that have
been drawing much attention from diverse disciplines including
computer science, information technology, and social sciences. The
goal of the International Conference on Big Data and Smart Computing
(BigComp), initiated by KIISE (Korean Institute of Information
Scientists and Engineers), is to provide an international forum for
exchanging ideas and information on current studies, challenges,
research results, system developments, and practical experiences in
these emerging fields among researchers, developers, and users from
academia, business and industry. Following the successes of the
previous BigComp conferences in Bangkok, Thailand (2014), Jeju, Korea
(2015), Hong Kong, China (2016), Jeju, Korea (2017), Shanghai, China
(2018), Kyoto, Japan (2019), Busan, Korea (2020), Jeju, Korea (2021),
Daegu, Korea (2022), Jeju, Korea (2023), Bangkok, Thailand (2024),
Kota Kinabalu, Malaysia (2025), Guangzhou, China (2026), the 2027
IEEE International Conference on Big Data and Smart Computing
(IEEE BigComp 2027) will be held in Fukuoka, Japan. The
conference is co-sponsored by IEEE and KIISE. IEEE BigComp 2027
invites authors to submit original research papers and as well
original work-in-progress reports on big data and smart computing.
Paper Categories and Page Limits
IEEE BigComp 2027 invites the following types of paper submissions:
• Research and industry papers: full papers, up to 8 pages
• Research and industry papers: short papers, up to 4 pages
• Poster papers: up to 2 pages
TOPICS of interest:
We invite the submission of original research contributions in the
following areas, but also welcome any original contributions that may
cross the boundaries among areas or point in other novel directions.
In addition, IEEE BigComp 2027 encourages submissions about products,
practices, and services in industry:
• AI for big data and smart computing
• Big data analytics and social media
• Big data applications / big data as a service
• Big data ecosystem
• Big data in the era of LLMs
• Bioinformatics, multimedia, smartphones, etc.
• Cloud and grid computing for big data
• Crowdsourcing and human-in-the-loop
• Data mining and data science
• Data and information quality
• Disaster analysis
• Infrastructure and platform for big data and smart computing
• Knowledge graph, graph data management and mining
• Machine learning and AI theory and fundamentals
• Mobile communications and smart location-based services
• Recommender systems
• Search/retrieval and generation of big data
• Security and privacy for big data
• Smart computing models, tools, and devices
• Techniques, models and algorithms for big data
• Tools and systems for big data
• Understanding multi-modal data
Important Dates
Full, Short, Poster, and Demonstration Papers
Submission September 30, 2026
Notification November 30, 2026
Camera-ready December, 2026
※ Exact dates will be updated later.
Submission
Manuscripts must be prepared in accordance with the IEEE two-column
conference paper format. Only electronic submissions in PDF format
will be considered. Page limits are 8 pages for full research and industry
papers, 4 pages for short research and industry papers, and 2 pages
for poster papers.
Paper submissions will be handled through EasyChair. The EasyChair
submission link and detailed submission instructions will be announced.
At least one author of each accepted paper is expected to present the
paper in person at the conference. Online presentation may be
considered only in exceptional cases where unavoidable circumstances
prevent in-person attendance, subject to approval by the conference organizers.
===============================================
Masato OGUCHI, Dr.Eng.
Department of Information Sciences
Ochanomizu University
https://www.is.ocha.ac.jp/~oguchi/
https://www.is.ocha.ac.jp/~oguchi_lab/
http://ogl.is.ocha.ac.jp/
oguchi(a)is.ocha.ac.jp