Welcome to IEEE BigComp 2027

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.
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