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第八届大数据与应用统计国际学术研讨会

2025 8th International Symposium on Big Data and Applied Statistics

ISBDAS
发布时间:2024-09-04 17:06:13 人浏览过
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  • 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:979-8-3315-0719-0) 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 )

    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 2024

    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

    Malinka 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

    Malinka 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.

    *ISBDAS 2019:JPCS  EI Indexing   Scopus Indexing

    *ISBDAS 2020:JPCS  EI Indexing   Scopus Indexing

    *ISBDAS 2021:JPCS EI Indexing    Scopus Indexing

    *ISBDAS 2022:JPCS  EI Indexing   Scopus Indexing

    *ISBDAS 2023:JPCS  EI Indexing   Scopus Indexing

    Note: All submitted articles should report original results experimental or theoretical not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

    标签: 广州学术会议