2027 8th International Conference on Computing and Big Data
September 10-12, 2027 | Chongqing, China
The 8th International Conference on Computing and Big Data (ICCBD 2027) will be held September 10–12, 2027, in Chongqing, China, and is organized by Chongqing University of Science and Technology. ICCBD provides a forum for researchers, academics, students, and industry professionals to present recent work, discuss emerging challenges, and exchange ideas in computing and big data. The conference welcomes contributions spanning big data analytics and management, artificial intelligence and machine learning, data-intensive computing, cloud and edge technologies, information systems, and practical applications across diverse fields. By bringing together perspectives from academia and industry, ICCBD aims to encourage interdisciplinary dialogue, share methods and experiences, and support new research and collaboration. Participants are invited to contribute original work and take part in discussions on the development and application of computing and big data technologies.
第八届计算与大数据国际会议（ICCBD 2027）将于2027年9月10日至12日在中国重庆举行，由重庆科技大学主办。会议面向计算与大数据领域的专家学者、科研人员、学生及产业界人士，旨在提供展示研究成果、交流学术观点和探讨技术发展的国际交流平台。
会议关注大数据分析与管理、人工智能与机器学习、数据密集型计算、云计算与边缘计算、信息系统及相关领域的理论研究和实际应用。随着数据规模不断扩大、智能技术持续发展，数据处理、分析、管理和应用面临新的机遇与挑战。ICCBD 2027诚邀相关领域研究者分享原创成果、交流研究方法与实践经验，并围绕具有共同兴趣的议题开展深入讨论。
会议希望促进不同学科、研究机构与产业界之间的交流合作，推动计算与大数据技术的研究进展及应用探索。
重庆科技大学
Southwest University
Guizhou Normal University| Submission Deadline投稿截止 | March 1, 2027 |
|---|---|
| Notification Date录用通知 | April 1, 2027 |
| Registration Deadline注册截止 | April 20, 2027 |
| Camera-ready Deadline终稿截止 | August 20, 2027 |
| Listener Registration听众注册截止 | September 5, 2027 |
Accepted papers will be included in the conference proceedings and formally published as important academic outcomes of the conference, indexed by EI Compendex and Scopus, etc.
Previous ICCBD Publication History
ICCBD 2023 | ISBN: 979-8-3503-1699-5 | IEEE Xplore | Indexed by: EI Compendex, Scopus
ICCBD 2022 | ISBN: 978-0-7381-1257-2 | IEEE Xplore | Indexed by: EI Compendex, Scopus
ICCBD 2021 | ISBN: 978-1-4503-8719-4 | ACM Digital Library | Indexed by: EI Compendex, Scopus
ICCBD 2020 | ISBN: 978-1-4503-8786-6 | ACM Digital Library | Indexed by: EI Compendex, Scopus
ICCBD 2019 | ISBN: 978-1-4503-7290-9 | ACM Digital Library | Indexed by: EI Compendex, Scopus
ICCBD 2018 | ISBN: 978-1-4503-6540-6 | ACM Digital Library | Indexed by: EI Compendex, Scopus
Submission
ICCBD 2027 welcomes original research in computing and big data. Authors may submit a full paper for review or an abstract for presentation consideration. Submissions should be written in English and prepared with the conference templates.
Academic integrity represents the ethical standards and moral code of the scholarly community. It includes principles such as the avoidance of cheating or plagiarism, maintaining rigorous academic standards, and honesty in research and scholarly publishing.
All authors are expected to comply with these principles. Failure to do so may result in the committee rejecting the manuscript during the review process. Due to ongoing updates to academic databases and the lengthy publication process, if the publisher identifies instances of plagiarism or a high degree of content similarity in a submitted paper, the manuscript may be directly rejected. Authors bear full responsibility for any violations of these standards.
The conference is currently calling for track proposals. We warmly invite experts and scholars from relevant fields to submit their proposals to organize thematic tracks. This is an opportunity to shape focused discussions, bring together leading research, and contribute to the academic program of the conference.:
