2027 International Conference on Data-Driven Decision Making and AI Innovation

Call for Papers

We invite submissions on previously unpublished research work. Example areas include but are not limited to:

• 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

All accepted and registered papers will be included in the conference proceedings, and will be submitted to EI Compendex, Scopus for indexing.

All submissions must be in English, and adhere to the template format in the conference website.

The conference accepts paper submissions via email at ddmai@acamail.org.

Review Criteria

Reviewers evaluates the submitted paper based on the following criteria:

- Originality of the paper

- Theoretical contribution

- Innovation of the paper

- Accuracy of the method

- Discussion of the results

- Paper presentation and clarity

- Literature reviews of the related works

- Follows appropriate ethical guidelines