International Conference on Industry 4.0 and Artificial Intelligence in Manufacturing - (ICIAIM-27)


2nd - 3rd January, 2027 | Brisbane, Australia

Multi-format (In-person/Virtual)

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Important Dates

Pre-registration Deadline

3rd December, 2026

Paper Submission Deadline

8th December, 2026

Last Date Of Registration

18th December, 2026

Date Of Conference

2nd - 3rd January, 2027

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Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8 SDG 8 — Decent Work and Economic Growth
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 12 SDG 12 — Responsible Consumption and Production
SDG 17 SDG 17 — Partnerships for the Goals
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All Session Tracks

Track 01
Machine Learning Techniques in Manufacturing

This track focuses on the application of machine learning algorithms to enhance manufacturing processes. Participants will explore innovative approaches to data-driven decision-making and process optimization.

Track 02
Intelligent Systems for Smart Manufacturing

This session delves into the development and implementation of intelligent systems that facilitate smart manufacturing. Emphasis will be placed on the integration of AI technologies to improve operational efficiency.

Track 03
Automation and Robotics in Industry 4.0

This track examines the role of automation and robotics in the context of Industry 4.0. Discussions will highlight advancements in robotic systems and their impact on production capabilities.

Track 04
Predictive Analytics for Manufacturing Optimization

This session addresses the use of predictive analytics to enhance manufacturing performance. Participants will discuss methodologies for forecasting and mitigating operational risks.

Track 05
AI Frameworks for Manufacturing Applications

This track explores various AI frameworks tailored for manufacturing applications. The focus will be on the design, implementation, and evaluation of these frameworks in real-world scenarios.

Track 06
Data Analytics in Manufacturing Processes

This session highlights the significance of data analytics in optimizing manufacturing processes. Attendees will examine case studies showcasing successful data-driven initiatives.

Track 07
Innovation Strategies in AI-Driven Manufacturing

This track investigates innovative strategies for integrating AI into manufacturing practices. Discussions will center on fostering a culture of innovation and continuous improvement.

Track 08
Deep Learning Applications in Industrial Settings

This session focuses on the application of deep learning techniques within industrial environments. Participants will explore case studies that demonstrate the transformative potential of deep learning.

Track 09
System Optimization through AI Technologies

This track examines the optimization of manufacturing systems through the application of AI technologies. Emphasis will be placed on methodologies that enhance system performance and reliability.

Track 10
Challenges and Solutions in AI Implementation

This session addresses the challenges faced during the implementation of AI in manufacturing. Participants will discuss potential solutions and best practices for overcoming these obstacles.

Track 11
Future Trends in AI and Industry 4.0

This track explores emerging trends and future directions in the intersection of AI and Industry 4.0. Discussions will focus on the implications of these trends for the manufacturing sector.