会议简介
第八届大数据与应用统计国际学术研讨会（ISBDAS 2025）定于2025年2月28-3月2日在中国广州举行。会议旨在为从事“大数据”与“应用统计学”研究的专家学者、工程技术人员、技术研发人员提供一个共享科研成果和前沿技术，了解学术发展趋势，拓宽研究思路，加强学术研究和探讨，促进学术成果产业化合作的平台。大会诚邀国内外高校、科研机构专家、学者，企业界人士及其他相关人员参会交流。
组委会
大会主席
李哓黎教授
南洋理工大学
Prof. Philippe Fournier-Viger
深圳大学
程序委员会主席
黄翰教授
华南理工大学
Prof. LING Tok Wang
新加坡国立大学
Prof. Mohand Tahar Kechadi, 都柏林大学学院
章志華教授
关西国际大学
出版主席
Prof. Malik Zawwar Hussain
旁遮普大学
杨燕教授
西南交通大学
Prof. Lazim Abdullah
马来西亚丁加奴大学
组织委员会主席
张天乐研究员
广东人工智能高等研究院
Prof. Fairouz Kamareddine
英国赫瑞瓦特大学
征稿主题
Track 1: 大数据算法
智能计算应用
模型与计算
智能计算算法
进化计算
数据挖掘
三元决策与机器学习
组合算法
数据和文本挖掘
知识推理
深度学习
Track 2: 应用数学理论
博弈论
认知建模与计算
概率论与统计学
微分方程及其应用
离散数学与控制
线性代数及其应用
数值分析
运筹学与优化
近似理论
组合数学
可计算性理论
离散几何
矩阵计算
* 其他相关主题均可
论文出版
1.会议论文
所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所录用的论文将由IEEE (ISBN:979-8-3315-719-) 出版，出版后提交IEEE Xplore, EI, Scopus检索。
2. 期刊推荐
我们很高兴向您介绍由骆宗伟博士领导的特刊。参赛者的优秀稿件将被推荐提交到特刊。
专刊名称：Artificial Intelligence: Large Language Models and Big Data Analysis
关键词：
人工智能
基础技术
技术采用
大型语言模型
应用进程推动者
大数据分析
期刊介绍：
Mathematics是一本同行评审的开放获取期刊，为与数学相关的研究提供了一个高级论坛，由MDPI半月刊在线出版。
高可见度：在 Scopus、SCIE (Web of Science)、RePEc 和其他数据库中创建索引。
期刊排名： JCR – Q1 (Mathematics) / CiteScore – Q1 (General Mathematics )
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About ISBDAS 2025
2025 8th International Symposium on Big Data and Applied Statistics
In recent years the fields of Big Data and Applied Statistics have seen remarkable growth and evolution. Big Data has transformed from a buzzword into a critical tool across various sectors driving significant advancements in technology business healthcare and science. The ability to process and analyze vast amounts of data has led to groundbreaking insights and innovations.
Applied Statistics as a cornerstone of data analysis has played a crucial role in interpreting complex datasets providing a foundation for decision-making and policy formulation. The synergy between Big Data and Applied Statistics has paved the way for more sophisticated and accurate predictive models enhancing our understanding of complex systems.
The 2025 8th International Symposium on Big Data and Applied Statistics （ISBDAS 2025） will be held on February 28- March 2 2025 in Guangzhou China. The primary goal of the conference is to promote research and developmental activities in Big Data and Applied Statistics and another goal is to promote scientific information interchange between researchers developers engineers students and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Big Data and Applied Statistics and related areas. We warmly invite you to participate in ISBDAS 2025.
Important Dates
Full Paper Submission Date
December 15 224
Registration Deadline
January 18 2025
Final Paper Submission Date
January 28 2025
Conference Dates
February 28 – March 2 2025
Committee
Conference Chairs
Xiaoli Li IEEE Fellow Nanyang Technological University Singapore
Philippe Fournier-Viger IEEE Member Shenzhen University China
Technical Program Committee Chairs
Han Huang IEEE Senior Member South China University of Technology China
LING Tok Wang IEEE Life Senior Member National University of Singapore Singapore
Mohand Tahar Kechadi IEEE Member University College Dublin Ireland
Zhihua Zhang Kansai University of International Studies Japan
Publication Chairs
Malik Zawwar Hussain University of the Punjab Pakistani
Yan Yang IEEE Member Southwest Jiaotong University China
Lazim Abdullah. IEEE Member Universiti Malaysia Terengganu Malaysia
Organizing Committee Chairs
Tianle Zhang Guangdong AI Institute of Higher Education China
Fairouz Kamareddine Heriot-Watt University UK
Organizing Committee Members
Mingzhi Mao Sun Yat-sen University China
Chang Su Guangdong University of Technology China
Dongxiao Shi Guangzhou City Polytechnic China
Shengkun Xie Toronto Metropolitan University Canada
Yajing Wang Beijing Normal University/ Guangdong AI Institute of Higher Education China
Weishan Zhang IEEE Member China University of Petroleum China
Azlan Bin Mohd Zain Universiti Teknologi Malaysia Malaysia
Technical Program Committee Members
Rubing Huang Macau University of Science and Technology Macao China
Dariusz Jacek Jakóbczak Koszalin University of Technology Poland
Mali
nka Spasova Ivanova Technical University of Sofia Bulgaria
Sophia C. Alih Universiti Teknologi Malaysia Malaysia
Leiping Jie Guangdong Ocean University China
Nasir Saeed IEEE Senior Member United Arab Emirates University United Arab Emirates
JIXIN MA University of Greenwich British
Yueting Zhuang School of Computer Science and Technology Zhejiang University China
Demetri Terzopoulos University of California at Los Angeles USA
Guiguang Ding School of Software Tsinghua University China
Nuno Vasconcelos University of California at San Diego USA
Xiaojin （Jerry） Zhu University of Wisconsin-Madison USA
Alan Jeffrey Giacomin Queen‘s University Canada
Zuohuan Zheng Chinese Academy of Sciences China
Zhen Wang Dalian University of Technology China
Jianguo Liu Imperial College London UK
Ming Tai-seale University of California at San Diego USA
Paul Wen University of Southern Queensland Australia
Zygmunt J. Haas Cornell University USA
Malik Zawwar Hussain University of the Punjab Lahore Pakistan
Jingshan Huang The University of South Alabama （South） USA
Jawahar Thakur Himachal Pradesh University India
Qingzhong Liu The Sam Houston State University USA
Mariofanna Milanova University of Arkansas Little Rock USA
Qiang Yang Zhejiang University China
Alireza Vali Pour Baboli Technical and Vocational University Iran
Suraiya Jabin Jamia Millia Islamia India
Zoran Gajic University of New Jersey USA
Ephraim Suhir Portland State University USA
Afaq Ahmad Sultan Qaboos University Oman
Kannimuthu Subramanian Karpagam College of Engineering India
Rao Li The University of South Carolina Aiken USA
Tieyong Zeng The Chinese University of Hong Kong （CUHK） Hong Kong China
M-Tahar Kechadi University College Dublin Ireland
Yilun Shang Northumbria University UK
Pavel Loskot Zhejiang University China
Naragain Phumchusri Chulalongkorn University Thailand
GAJENDRA Sharma Kathmandu University Nepal
Thomas Lee University of Illinois at Chicago USA
Fernanda Otilia Figueiredo Faculdade de Economia Universidade do Porto Portugal
Tien-Ying Kuo National Taipei University of Technology Taiwan China
Khondker Shajadul Hasan University of Houston-Clear Lake USA
Cheng Chin Newcastle University Singapore
Mali
nka Spasova Ivanova The Technical University of Sofia Bulgaria
Zhiyu Jiang Northwestern Polytechnical University China
Dariusz Jacek Jakobczak Koszalin University of Technology Poland
Call For Papers
The 2025 8th International Symposium on Big Data and Applied Statistics（ISBDAS 2025） provides a premier forum for the presentation of new advances and research results in the fields of Big Data and Applied Statistics. The conference will bring together leading researchers social workers and scientists in the domain of interest from around the world.
The topics of interest for submission include but are not limited to:
Track : Big Data Algorithms
大数据算法
Intelligent computing applications 智能计算应用
Models and calculations 模型与计算
Intelligent computing algorithms 智能计算算法
Evolutionary computation 进化计算
Data Mining 数据挖掘
Ternary decision making and machine learning 三元决策与机器学习
Combinatorial algorithms 组合算法
Data and text mining 数据和文本挖掘
Knowledge reasoning 知识推理
Deep Learning 深度学习
Track : The applied mathematics theory
应用数学理论
Game Theory 博弈论
Cognitive modeling and computation 认知建模与计算
Probability and statistics 概率论与统计学
Differential equation and their applications 微分方程及其应用
Discrete mathematics and control 离散数学与控制
Linear algebra and its applications 线性代数及其应用
Numerical analysis 数值分析
Operations Research and optimization 运筹学与优化
Approximate theory 近似理论
Combinatorial mathematics 组合数学
The theory of computability 可计算性理论
Discrete geometry离散几何
Matrix calculations 矩阵计算
Publication
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process all accepted papers will be published by IEEE and will be submitted to IEEE Xplore EI Compendex Scopus for indexing.
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