Call for Papers
Research in artificial intelligence, data science, software and computing systems.
ADSCS 2027 welcomes research contributions in the following areas. Submissions should address the theory, algorithms, methods, architecture or implementation of computing technologies.
Artificial Intelligence and Machine Learning
- Artificial Intelligence and Machine Learning
- Deep Learning and Neural Networks
- Generative Artificial Intelligence
- Large Language Models
- Natural Language Processing
- Computer Vision and Pattern Recognition
- Multimodal Learning
- Knowledge Graphs and Knowledge Representation
- Reinforcement Learning
- Intelligent Optimization
- Explainable and Trustworthy AI
- AI Agents and Autonomous Intelligent Systems
Data Science and Data Intelligence
- Data Science and Data Mining
- Big Data Analytics
- Database Systems and Data Management
- Data Engineering
- Knowledge Discovery
- Graph Data and Graph Learning
- Data Visualization
- Data Quality and Data Governance
- Streaming and Real-Time Data Processing
- Recommendation Systems
- Privacy-Preserving Data Analysis
- Scientific and Intelligent Data Computing
Software Engineering and Computing Systems
- Software Engineering and Software Architecture
- Software Testing and Quality Assurance
- Program Analysis and Verification
- Operating Systems
- Distributed Systems
- Parallel and High-Performance Computing
- Computer Architecture
- Intelligent Software Systems
- Middleware and Service Computing
- DevOps and Cloud-Native Software
- Embedded and Real-Time Systems
- Performance Modeling and System Optimization
Cloud, Edge and Secure Computing
- Cloud Computing
- Edge Computing
- Cloud-Edge-End Collaboration
- Distributed and Federated Computing
- Network and System Security
- Data Security and Privacy
- Trusted Computing
- Blockchain and Distributed Ledger Technologies
- Federated Learning
- Secure AI Systems
- Internet and Computing Infrastructure
- Emerging Computing Paradigms