The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026)

23-25 April , 2026, Krabi, Thailand

Link: https://ieai.net/index.html

Submission Deadline: December 30, 2025
Acceptance Notification:  February 2, 2026
Registration Deadline: February 28, 2026
Conference Dates: April 23-25, 2026

The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026) will be held in Krabi, Thailand, 23-25 April , 2026. It is a premier forum dedicated to the convergence of industrial engineering and artificial intelligence (AI). As industries worldwide rapidly adopt AI to enhance efficiency, productivity, and innovation, this conference aims to explore the latest advancements, research, and applications at this intersection.

Key topics of interest include smart manufacturing, robotics, machine learning, predictive maintenance, digital twins, and the integration of AI into industrial processes. As we stand on the brink of the Fourth Industrial Revolution, IEAI 2026 will serve as a critical venue for discussing how AI can drive innovation and sustainability in industrial systems.

Whether you are an academic researcher, a practitioner in the field, or an industry leader, IEAI 2026 will offer valuable insights and opportunities to engage with the cutting-edge developments that are shaping the future of industrial engineering and artificial intelligence.

IEAI Publication
The submitted papers will be peer reviewed by Technical Committee. Accepted papers will be published in the International Conference Proceedings. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference

Call for Papers

1. Applications of AI in Industrial Engineering
Intelligent Manufacturing Systems
AI-Driven Process Optimization
Smart Factories and Industry 4.0
AI for Predictive Maintenance in Industrial Systems
Robotics and Automation in Manufacturing
AI in Supply Chain and Logistics Optimization
Data-Driven Decision Making in Industrial Environments
2. Industrial Optimization and AI
AI for Industrial Scheduling and Planning
Multi-Objective Optimization using Machine Learning
AI-Enhanced Process Control Systems
Energy Efficiency Optimization in Manufacturing using AI
AI-Enabled Simulation and Modeling for Industrial Systems

3. AI for Quality Control and Safety in Industry
Machine Learning in Industrial Quality Control
AI for Predicting Failures and Defects in Production Lines
Safety Monitoring and Hazard Prevention in Industrial 

4. Artificial Intelligence in Industrial Supply Chains
AI and Blockchain Integration for Industrial Supply Chains
Supply Chain Management with Deep Learning Techniques
AI in Logistics and Transportation Networks
Data Analytics for Improving Inventory Management in Industry
AI for Risk Management and Resilience in Supply Chains

5. Smart Manufacturing and IoT
IoT and AI Integration for Real-Time Industrial Monitoring
AI in Predictive Maintenance using IoT Sensors
Digital Twin Technology for Industrial Applications
AI-Driven Decision Support Systems in Industrial Operations

6. Industrial Robotics and Autonomous Systems
AI and Machine Learning in Industrial Robotics
Autonomous Mobile Robots in Manufacturing
Human-Robot Collaboration in Industrial Environments
AI for Vision-Based Robotic Systems in Production Lines

7. AI in Industrial Process Automation
Deep Learning for Process Automation in Industry
Intelligent Automation Systems in Industrial Environments
AI-Driven Adaptive Control Systems for Industrial Processes
Edge AI for Real-Time Process Control and Decision Making

8. AI-Enabled Sustainability in Industrial Systems
AI for Sustainable Manufacturing Practices
Machine Learning for Energy Consumption Optimization
Smart Waste Management and Recycling Systems using AI
AI Solutions for Reducing Carbon Footprint in Industrial Operations

9. AI for Data-Driven Industrial Decision Making
Predictive Analytics for Industrial Process Improvement
AI in Industrial Big Data Analytics
Decision Support Systems using AI in Industrial Operations
Machine Learning for Process Optimization in Real-Time Manufacturing

10. AI in Industrial Human-Machine Interaction
Human-Centered AI Design for Industrial Applications
AI for Improving Human Performance in Industrial Systems
Cognitive Computing and Human Factors in Industrial AI
AI and Virtual Reality for Industrial Training and Simulation

11. AI and Industrial Cybersecurity
AI for Threat Detection and Prevention in Industrial Networks
Industrial Cybersecurity with Machine Learning
AI-Driven Risk Management for Industrial IoT
Autonomous Systems for Securing Critical Infrastructure in Industry

12. AI in Smart Energy and Industrial Systems
AI for Smart Grid and Industrial Energy Management
AI in Energy Optimization for Industrial Facilities
Machine Learning for Predicting Energy Demand in Industrial Systems
AI-Driven Energy Efficiency in Industrial Operations