2027 International Conference on Data-Driven Decision Making and AI Innovation (DDMAI 2027) will be held during November 5-8, 2027 in Haikou, China.
DDMAI 2027 invites the submission of original research papers in the fields of Data-Driven Decision Making and AI Innovation to be included in the conference proceedings. Each submission is anonymously reviewed by an average of three independent reviewers, to ensure the final high standard and quality of submitted papers. All accepted papers will be included in the conference proceedings, which will be sent to EI Compendex, Scopus for indexing.
1. Data Science, Machine Learning, and Intelligent Computing
Machine learning and deep learning algorithms
Intelligent optimization and evolutionary computation
Big data analytics and distributed computing architectures
Data mining and knowledge discovery
Explainable AI and model interpretability
Reinforcement learning and multi-agent systems
Time-series forecasting and anomaly detection
Multimodal learning, computer vision, and graph learning
Natural language processing, text mining, and information extraction
Edge intelligence and real-time intelligent processing
2. Data-Driven Decision Intelligence and System Optimization
Intelligent decision support systems and architectures
Multi-objective optimization and decision-making under uncertainty
Human-AI collaboration and augmented decision intelligence
Generative AI and large language models for decision intelligence
Multi-agent decision systems and distributed decision frameworks
Real-time decision-making and data stream processing
Decision knowledge graphs and reasoning engines
Verification, validation, and evaluation of intelligent decision systems
Data-driven enterprise decision analytics and optimization for engineering management
Network Science and Complex Systems Analytics
3. Frontier AI and Trustworthy Intelligent Computing
Generative AI and foundation model engineering
Agentic AI and autonomous intelligent agents
Trustworthy AI, robustness, and safety
Federated learning and privacy-preserving computing
Computer vision and intelligent perception systems
Natural language processing and intelligent human-computer interaction
AI as a service and cloud-native intelligence architectures
Industrial AI and intelligent manufacturing systems
Smart city and urban computing
AI Model optimization, compression, and acceleration
4. Cross-Disciplinary Engineering Applications of Data Science and AI
Cross-Disciplinary Engineering Applications of Data Science and AI
Intelligent system design and engineering architectures
Hybrid intelligent systems in engineering domains
Data-knowledge fusion methods
AIoT and edge intelligence systems
Digital twins and intelligent simulation
Autonomous systems and robotic intelligence
Intelligent transportation systems and collaborative optimization
Financial data analytics and intelligent risk control
Intelligent supply chain planning and resource scheduling
Digital project management and intelligent monitoring
5. AI-Enabled Business Systems and Engineering Management
AI-Enabled Business Systems and Engineering Management
AI-enabled enterprise information systems and digital architectures
Computational intelligence for economic forecasting and decision engineering
Intelligent risk analytics and decision support systems for financial engineering
Intelligent recommendation systems and customer behavior analytics
AI-driven business process optimization and intelligent operations systems
Technology innovation management, digital transformation engineering, and platform architectures
Intelligent supply chain systems, logistics optimization, and engineering project management
Data governance, enterprise AI architectures, and digital trust engineering
Responsible AI, AI governance, and sustainable intelligent systems
Cloud-native enterprise intelligence, business automation, and intelligent service systems
Important Dates for DDMAI 2027
Paper submission deadline: July 31, 2027
Notification of acceptance: August 31, 2027
Registration deadline: September 30, 2027
Submission Guidelines
-Authors must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings.
-All submitted papers should be focused on the conference topic areas.
-The submission file is in Microsoft Word, PDF, or WordPerfect document file format.
-All URL addresses in the text (e.g., http://pkk.suu.ca) are activated and ready to click.
-All submissions should be written in English.
-All submissions should strictly follow the format of the Paper Template.
-All submissions should be submitted directly to the conference e-mail address: ddmai@acamail.org.