2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD 2021)

Conference / Summit (onsite)
Artificial Intelligence (AI) & Machine Learning (ML) Big Data & Analytics

Address: Chengdu, Chengdu, China
Date: 28 to 31 May '21

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2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD 2021) will take place on May 28-31, 2021 in Chengdu, China. It is sponsored by Sichuan Province Computer Federation and technically assisted by many local and international universities.

This conference provides you opportunity to meet with academicians as well as practitioners in the fields of Artificial Intelligence and Big Data from all over the world, and get the latest insights from every area of Artificial Intelligence and Big Data theory and practice.

ICAIBD features invited keynote speech, peer-reviewed paper presentations, and academic visit. The conference is completely open (one needs to register first), you will not have to be an author or a discussant to attend. Submissions will be peer-reviewed and evaluated based on originality, relevance to conference, contributions, and presentation. We invite the submission of original research contributions.

Proceedings:

All accepted (Registered & Presented) papers of ICAIBD 2021, will be published in the conference proceedings by IEEE, and reviewed by IEEE Xplore, indexed by Ei Compendex, and Scopus. 

Conference Chairs:

Dr. Wang Xiaoyu, Executive director of Sichuan Province Computer Society, China 

Prof. Zhou Jiliu, President of Chengdu University of Information Technology, China 

Organizing Chair:

Senior Engineer Song Changyuan, Secretary-General of Sichuan Province Computer Federation, China 

Program Committee Chairs:

Prof. Zhang Yi, Sichuan University, China 

Prof. Qin Zhiguang, University of Electronic Science and Technology, China 

Prof. Yang Yan, Southwest Jiaotong University, China 

Prof. Wang Peng, Southwest Minzu University, China 

Contact:

Ms. Joy Xu (conference secretary) 

Email: icaibd@young.ac.cn 

Tel: +86-28-87777577 

Papers describing original work are invited in any of the areas listed below. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions.

All accepted (Registered & Presented) papers of ICAIBD 2021 will be published in the conference proceedings, published by IEEE. The proceedings will be submitted and reviewed by the IEEE Xplore after the conference.

The scope of ICAIBD covers the following topics:

Artificial Intelligence
Intelligent information systems
Intelligent data mining and farming
Intelligent web-based business
Intelligent agents
Intelligent networks
Intelligent databases
Intelligent user interface
AI and evolutionary algorithms
Intelligent tutoring systems
Reasoning strategies
Distributed AI algorithms and techniques
Distributed AI systems and architectures
Neural networks and applications
Heuristic searching methods
Languages and programming techniques for AI
Constraint-based reasoning and constraint programming
Intelligent information fusion
Learning and adaptive sensor fusion
Search and meta-heuristics
Multisensor data fusion using neural and fuzzy techniques
Integration of AI with other technologies
Evaluation of AI tools
Social intelligence (markets and computational societies)
Social impact of AI
Emerging technologies
Brain models, Brain mapping, Cognitive science
Natural language processing
Fuzzy logic and soft computing
Software tools for AI
Decision support systems
Automated problem solving

Big Data Models and Algorithms
Foundational Models for Big Data
Algorithms and Programming Techniques for Big Data Processing
Big Data Analytics and Metrics
Representation Formats for Multimedia Big Data

Big Data Architectures
Cloud Computing Techniques for Big Data
Big Data as a Service
Big Data Open Platforms
Big Data in Mobile and Pervasive Computing

Big Data Management
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Management Issues of Social Network Big Data

Big Data Protection, Integrity and Privacy
Models and Languages for Big Data Protection
Privacy Preserving Big Data Analytics
Big Data Encryption

Big Data Search and Mining
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Machine learning based on Big Data
Visualization Analytics for Big Data

Big Data for Enterprise, Government and Society
Big Data Economics
Big Data for Business Model Innovation
Big Data Toolkits
Big Data in Business Performance Management
SME-centric Big Data Analytics

Papers describing original work are invited in any of the areas listed below. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions.

All accepted (Registered & Presented) papers of ICAIBD 2021 will be published in the conference proceedings, published by IEEE. The proceedings will be submitted and reviewed by the IEEE Xplore after the conference.

The scope of ICAIBD covers the following topics:

Artificial Intelligence
Intelligent information systems
Intelligent data mining and farming
Intelligent web-based business
Intelligent agents
Intelligent networks
Intelligent databases
Intelligent user interface
AI and evolutionary algorithms
Intelligent tutoring systems
Reasoning strategies
Distributed AI algorithms and techniques
Distributed AI systems and architectures
Neural networks and applications
Heuristic searching methods
Languages and programming techniques for AI
Constraint-based reasoning and constraint programming
Intelligent information fusion
Learning and adaptive sensor fusion
Search and meta-heuristics
Multisensor data fusion using neural and fuzzy techniques
Integration of AI with other technologies
Evaluation of AI tools
Social intelligence (markets and computational societies)
Social impact of AI
Emerging technologies
Brain models, Brain mapping, Cognitive science
Natural language processing
Fuzzy logic and soft computing
Software tools for AI
Decision support systems
Automated problem solving

Big Data Models and Algorithms
Foundational Models for Big Data
Algorithms and Programming Techniques for Big Data Processing
Big Data Analytics and Metrics
Representation Formats for Multimedia Big Data

Big Data Architectures
Cloud Computing Techniques for Big Data
Big Data as a Service
Big Data Open Platforms
Big Data in Mobile and Pervasive Computing

Big Data Management
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Management Issues of Social Network Big Data

Big Data Protection, Integrity and Privacy
Models and Languages for Big Data Protection
Privacy Preserving Big Data Analytics
Big Data Encryption

Big Data Search and Mining
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Machine learning based on Big Data
Visualization Analytics for Big Data

Big Data for Enterprise, Government and Society
Big Data Economics
Big Data for Business Model Innovation
Big Data Toolkits
Big Data in Business Performance Management
SME-centric Big Data Analytics

Prof. Huajin Tang

ZheJiang University, China

Prof. Wang Jun

Fellow of IEEE & IAPR

IConf

Media Partner

Prof. Huajin Tang

ZheJiang University, China

Prof. Wang Jun

Fellow of IEEE & IAPR

IConf

Media Partner

Venue

Chengdu

Organizer

youngnd

Venue

Chengdu

Organizer

youngnd

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