Big data and artificial intelligence are important fields for future scientific and technological development and industrial upgrading. The International Conference on Big Data and Artificial Intelligence is an academic conference initiated by Prof. Sheng-Uei Guan, alumni of Tsinghua University and Director of the Institute of Big Data Analysis, Xi 'an Jiaotong-Liverpool University, and co-sponsored by the Institute of Electrical and Electronics Engineers (IEEE) and many well-known universities and institutions at home and abroad. Since the first conference was held in Beijing in 2018, the conference has been held for 5 years. It has been focused on the original basic and applied research in the field of big data and artificial intelligence. BDAI attracts a large number of researchers from dozens of countries and regions, such as China, England, Finland, Russia, Thailand, Singapore, Turkey, Luxembourg, Germany, Malaysia, Japan, and Denmark.
2023 IEEE the 6th International Conference on Big Data and Artificial Intelligence (BDAI) will be held by the Yangtze Delta Region Research Institute of Tsinghua University at Jiaxing, Zhejiang in July 07-09, 2023. This meeting will focus on foundations of the original, either theoretical or applied research. It is suitable for experts and scholars in the field of big data and artificial intelligence. Papers can be submitted and presented for discussions. Industrial companies, incubators and investors are also welcome to join BDAI. The conference will provide a platform for scholars to interact and find new opportunities for science and technology development.
The BDAI 2022 is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Big Data and Artificial Intelligence. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
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
Security Applications of Big Data
- Anomaly Detection in Very Large Scale Systems
- Collaborative Threat Detection using Big Data Analytics
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
Artificial Intelligence
- Intelligent User Interfaces
- Bayesian Networks
- Soft Computing
- Neural Networks
- Natural Language Processing
- Machine Learning
- Planning and Scheduling
- Knowledge Representation and Reasoning
- Uncertainty in AI
- Model-Based Reasoning
- Ontologies
- Data Mining
- Data Science
- Constraint Satisfaction
- State Space Search
- Case-Based Reasoning
- Cognitive Systems
- Intelligence and Cybersecurity
- Vision and Perception
- Pattern Recognition
- Ambient Intelligence
- AI and Creativity
- Evolutionary Computing
- Fuzzy Systems
- Knowledge-Based System
- Industrial applications of AI
- Hybrid Intelligent Systems
- Visualization
- Deep Learning
