Special Issues
Table of Content

Big Data and Artificial Intelligence in Control and Information System

Submission Deadline: 31 July 2025 View: 1003 Submit to Special Issue

Guest Editors

Prof. Didier El Baz

Email: elbaz@laas.fr

Affiliation: LAAS-CNRS, Université de Toulouse, Toulouse 31400, France

Homepage:

Research Interests: optimization, parallel and distributed computing

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Dr. Lei Shi

Email: leiky_shi@cuc.edu.cn

Affiliation: State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China

Homepage:

Research Interests: Cross-media retrieval, data analysis and mining, knowledge discovery, artificial intelligence

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Dr. Feifei Kou

Email: koufeifei000@bupt.edu.cn

Affiliation: School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

Homepage:

Research Interests: Artificial intelligence, big data mining, semantic learning, search and recommendation

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Dr. Pengfei Zhang

Email: zpf@aust.edu.cn

Affiliation: School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan 232001, China

Homepage:

Research Interests: Data privacy and Trustworthy artificial intelligence

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Summary

In recent years, big data, artificial intelligence and intelligent information processing are emerging research fields that have received widespread attention from computer science, intelligent control area and information system as well as from management science and other areas.


The focus of this special issue is on improvement control and information system with emphasis on big data, artificial intelligence and intelligent information processing. We solicit and publish original research papers on the estimation, algorithms and methodologies that highlight novel data processing and analysis technologies for big data of control system and smart computing.


Potential topics include but are not limited to:

● Techniques, models and algorithms for big data in control and information system

● Big data processing approaches for control system

● Data mining, topic modeling and data science

● Networked infrastructure and platform for smart computing in control and information system

● Big data analytics and model

● Deep learning and artificial intelligence for control big data and smart computing

● Cross-media retrieval and object detection for control big data

● Models and tools for intelligent information processing in control system

● Communication and networking to control system applications

● Machine learning for control big data expression and analytics

● Optimization intelligent processing method for control and information system

● Data-driven distributed optimization and control


Keywords

big data, artificial intelligence, models and algorithms, control and information system, data mining, intelligent information processing, control system applications

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