Welcome to BigComp 2026
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). The 2026 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2026) will be held in Guangzhou, China. The conference is co-sponsored by IEEE and KIISE. IEEE BigComp 2026 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, BigComp 2026 encourages submissions about products, practices, and services in industry: In particular, we strongly encourage big data and smart computing specialists in industry to submit their papers as [Industrial track papers].
PDF copy of the call for papers is available here.
- Big data analytics and social media
- Big data applications / big data as a service
- Big data ecosystem
- 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 for big data
- 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
- Big data in the era of LLMs
