Scopes
(The following topics include but are not limited to)
Track 1: Intelligent Decision Making
Intelligent Decision Support System
Real-time Streaming Decision Engine
Automated Decision Making and Workflow
Multi-agent Collaborative Decision Making
Optimization Theory and Operations Research Algorithms
Risk Management and Resilient Systems
Human-Machine Collaboration and Interactive Decision Making
Automated Decision Models
Decision Support Based on Optimization Multi-objective optimization
Uncertainty Modeling and Probabilistic Decision Analysis
Intelligent Agents and Decision Automation
Track 2: Management Science
Knowledge Management and Organizational Learning
Human-Centric Decision Making, Algorithm Management, and AI Governance
AI-driven Smart Healthcare Decision Systems: Predictive Modeling, Medical Image Analysis, and Explainable Medical Decision Support
Digital Twin-Driven Management Decision Making and Simulation Simulation
AI and IoT Integrated Sustainable Intelligent Management
Application of Edge AI and Lightweight Models in Real-time Analysis
Data Security and Blockchain Solutions in Management Decision Making
Smart Decision Technology Roadmap for the Digital Economy and Human-Machine Coexistence
Track 3: Machine Learning
Machine Learning Methods and Applications
Deep Learning and Reinforcement Learning Neural Network
Computational Learning Theory
Optimization of AI/ML Methods
Pattern Recognition and Classification
Data Mining and Knowledge Discovery
Hybrid Intelligent Systems
Soft Computing Theory and Applications
Experimental Evaluation of AI/ML Algorithms
Distributed and Parallel AI/ML Algorithms
AI/ML Algorithm Tools
Advanced Deep Learning Architectures
Reinforcement Learning and Decision Optimization
Transfer Learning and Domain Adaptation
Hybrid Symbol-Neural Artificial Intelligence Models
Learning Analysis and Intelligent Adaptive Systems ……
Important Dates/重要日期
  • Submission Deadline: 2026.8.17
  • Registration Deadline: 2026.8.24
  • Conference Date: 2026.9.1
  • Notification Date: About a week after the submission
Submission Portal/投稿方式

Mail Address:  icmla_conference@163.com

If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:

蒋老师
  • +86-15680824672(微信同号)
  • 3761629232
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