2025 International Conference on Artificial Intelligence and Engineering Management (ICAIEM 2025)
Call For Papers
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Call For Papers

The topics of interest for submission include, but are not limited to:

◕ Artificial intelligence

  • Artificial intelligence algorithm

  • Artificial intelligence tools and applications

  • Knowledge science and knowledge engineering

  • Machine learning and data mining

  • Machine perception and virtual reality

  • Information retrieval and fusion

  • Hybrid intelligent system

  • Intelligent system architecture

  • Natural language processing and understanding

  • Neural networks and deep learning

  • Neural networks and complex systems

  • Pattern recognition and logic program

  • Information retrieval and web search

  • Intelligent planning and scheduling

  • Intelligent control

  • Pattern recognition

  • Intelligent computing and chips

  • Artificial intelligence tool

  • ChatGPT technology and application

  • Signal and image processing, computer vision

  • Deep learning


◕ Engineering management

  • Artificial Intelligence in Risk Management

  • IoT and AI Integration for Construction Management

  • Intelligent building management technology

  • Smart Decision-Making Systems in Engineering Project

  • AI-Assisted Budgeting in Engineering Projects

  • Building Information Modeling (BIM)

  • Construction safety online monitoring technology

  • Intelligent supply chain management

  • Blockchain and AI for Supply Chain Management

  • Project lifecycle management

  • Computer Vision in construction quality control

  • Big data-driven marketing and management

  • Big data-driven Production and operation

  • Electronic commerce management

  • Engineering logistics management

  • Information network technology

  • Contracts and supplier relationships management systems

  • Logistics management in supply chain

  • Big Data and inventory management

  • AI-driven Project Management Tools

  • Machine Learning for Resource Allocation

  • Data Mining Techniques in Project Optimization

  • Digital Twins for Engineering Processes

  • AI for Scheduling and Timelines in Projects

  • Natural Language Processing in Project Documentation

  • Virtual Reality and AI in Engineering Training

  • Cybersecurity in Engineering Management Systems

  • AI in Sustainable Engineering Practices

  • Cloud Computing and AI for Collaborative Project Management