【论文投EI】厦门学术会议（IEEE ICCBD+AI 2025）

2025年IEEE第六届计算机、大数据和人工智能国际会议（IEEE ICCBD+AI 2025）将于2025年11月21日至23日在中国厦门召开。本届会议由IEEE中国联合会、华侨大学主办，ESBK国际学术交流中心、AC学术平台协办。会议将围绕计算机、大数据和人工智能等相关研究领域特邀国内外数位在此领域学术卓越的学者专家做相关致辞与报告。

会议名称：第六届计算机、大数据与人工智能国际会议

英文名称：2025 IEEE The 6th International Conference on Computer, Big Data and Artificial Intelligence (IEEE ICCBD+AI 2025)

会议官网：www.iccbdai.org

会议官邮：iccbdai@126.com

会议时间：2025年11月21日-23日

会议地点：中国厦门

主办单位：IEEE 中国联合会、华侨大学

协办单位：ESBK国际学术交流中心、AC学术平台

出版信息：提交 EI、Scopus 数据库

主讲嘉宾

Prof. Xiaoli Li

Nanyang TechnologicalUniversity、IEEE FELLOW

Xiaoli Li is the Department Head and Senior Principal Scientist at the Institute for Infocomm Research (I2R), A*STAR, Singapore, and an adjunct full professor at the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore. His research spans artificial intelligence, data mining, machine learning, and bioinformatics, with over 370 peer-reviewed publications and more than ten best paper awards.Xiaoli serves as the Editor-in-Chief of the Annual Review of Artificial Intelligence and as an Associate Editor for top-tier journals, including IEEE Transactions on Artificial Intelligence and Knowledge and Information Systems. He is also a regular chair and area chair for leading AI conferences such as AAAI, IJCAI, ICLR, NeurIPS, KDD, and ICDM. In addition to his academic achievements, Xiaoli has extensive industry experience, leading over ten R&D projects in collaboration with global industry leaders across aerospace, telecommunications, insurance, and professional services. He is an IEEE Fellow, a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), a Clarivate Highly Cited

Researcher, and ranked among the world’s top 2% scientists in AI by Stanford University and top computer scientists by Research.com.

Prof. Pietro Simone OlivetoL

Southern University of Science and Technology

Pietro Oliveto is a Professor of Computer Science at the Southern University of Science and Technology (SUSTech) Shenzhen, China. He received the Laurea degree and PhD degree in computer science respectively from the University of Catania, Italy in 2005 and from the University of Birmingham, UK in 2009. He has been EPSRC PhD+ Fellow (2009- 2010) and EPSRC Postdoctoral Fellow (2010-2013) at the University of Birmingham, UK and Vice-Chancellor's Fellow (2013-2016) and EPSRC Early Career Fellow (2015-2020) at the University of Sheffield, UK. Before moving to SUSTech he was Chair in Algorithms at the Department of Computer Science, University of Sheffield, UK.His main research interest is the performance analysis, in particular the time complexity, of bio-inspired computation techniques including evolutionary algorithms, genetic programming, artificial immune systems, hyper-heuristics and algorithm configurators. He is currently building a Theory of Artificial Intelligence Lab at SUSTech.He has guest-edited journal special issues of Computer Science and Technology, Evolutionary Computation, Theoretical Computer Science, IEEE Transactions on Evolutionary Computation and Algorithmica. He has co- Chaired the IEEE symposium on Foundations of Computational Intelligence (FOCI) from 2015 to 2021 and has been co-program Chair of the ACM Conference on Foundations of Genetic Algorithms (FOGA 2021) and Theory Track co-chair at GECCO 2022 and GECCO 2023. He is part of the Steering Committee of the annual workshop on Theory of Randomized Search Heuristics (ThRaSH), was Leader of the Benchmarking Working Group of the EU-COST Action ImAppNIO, is member of the EPSRC Peer Review College and recently completed his term as Associate Editor of IEEE Transactions on Evolutionary Computation.

会议主题

计算机：云计算、边缘计算、嵌入式计算、物联网、计算机体系结构和 VLSI

大数据：大数据模型、处理算法及编程技术、多媒体大数据的表示、大数据分析 与测量、大数据持久化与保存、大数据的质量与源头控制、大数据保护、完整性 与隐私、大数据存储、大数据搜索与挖掘、大数据可视化分析、大数据和物联网、大数据开放平台、领域和行业的大数据

人工智能：神经网络和学习系统、计算机视觉、机器人及相关领域、知识工程、粗糙集理论、基础与应用、自然语言处理、模糊计算、进化计算、人工智能和物联网、建模和仿真中的人工智能

出版信息

IEEE ICCBD+AI 2025投稿，都必须经过2-3位组委会专家审稿，经过严格的审稿之后，录用并完成注册的文章，将以会议论文集形式提交出版，收录至IEEE Xplore，并提交 EI Compendex 和 Scopus 数据库。往届录用文章均已成功检索。

ICCBD+AI 2023

ICCBD+AI 2024