Big Data and Information Analytics

Special Issue: Special Issue for TAMC 2026: Models, Principles and Methods for Intelligent Systems

Guest Editor

Honorable Guest Editor
Manindra Agrawal, Indian Institute of Technology, India
Jin-Yi Cai, University of Wisconsin – Madison, USA
John Hopcroft, Cornell University, USA
Prof. Angsheng Li, Beihang University, China
Prof. Zhouchen Lin, Peking Unversity, China
Zhiyong Liu, Chinese Academy of Sciences, China
Taiji Suzuki, University of Tokyo, Japan

Guest Editor
Yuan Cao, The University of Hong Kong, China
Cong Fang, Peking University, China
Fanghui Liu, Shanghai Jiao Tong University, China
Pengkun Yang, Tsinghua University, China
Jingzhao Zhang, Tsinghua University, China
Difan Zhou, The University of Hong Kong, China

Manuscript Topics

With the rapid development of big data technologies and artificial intelligence, intelligent modeling and data-driven methods have become essential tools for understanding and solving complex real-world problems. In particular, large-scale data collected from various sources provide unprecedented opportunities for modeling, analyzing, and optimizing complex systems.

This special issue of Big Data and Information Analytics, organized in conjunction with the Theory and Applications of Models of Computation (TAMC 2026), aims to bring together researchers and practitioners working on intelligent models, theoretical foundations, and methodological innovations. We seek high-quality contributions that report recent advances in theory, modeling, algorithms, and applications related to intelligent systems and data analytics.

Topics of interest include, but are not limited to the following:

• Intelligent models and data-driven methodologies
• Theoretical foundations of intelligent computation and data analytics
• Machine learning and artificial intelligence methods for big data
• Data mining techniques and knowledge discovery
• Modeling and analysis of complex systems
• Intelligent transportation and mobility data analytics
• Intelligent control, optimization, and decision-making methods
• Large-scale data analysis and computational intelligence
• Simulation, benchmarking, and experimental evaluation of intelligent systems
• Security, privacy, and reliability in data-driven intelligent systems

Instructions for authors
Detailed author guidelines can be found at:
https://www.aimspress.com/bdia/news/solo-detail/instructionsforauthors

Paper Submission
All manuscripts will undergo a rigorous peer-review process before acceptance for publication.

Authors should submit their manuscripts through the online submission system:
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 31 December 2026

Published Papers({{count}})

Special Issue Topical Section Recurring Topics Special Issue

{{author.authorNameEn}},

{{article.year}}, Volume {{article.volume}}, Issue {{article.issue}}: {{article.fpage | processPage:article.lpage:6}}. doi: {{article.doi}}

{{article.articleStateNameEn}}, Available online {{article.preferredDate | date:'yyyy-MM-dd'}}, doi: {{article.doi}}

Abstract

HTML

PDF Cited ({{article.citedByCount}}) Viewed ({{article.visitArticleCount}})

Big Data and Information Analytics