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


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

Multi-format (In-person/Virtual)

Submit for Presentation Attendee Registration Conference Brochure
Registration Options →

Explore conference registration categories designed for every mode of participation.

Home About Organizer Call For Paper Paper Submission Author Guidelines Registration Presentation Guidelines Organizing Committee Collaboration Agenda Do's and Dont's Invitation Letter Venue Contact Us

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

Downloads

Conference Flyer
Sample Abstract
Sample Full Paper

Call for Papers

The (ICIAIM-27) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Artificial Intelligence, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • AI in predictive maintenance for manufacturing
  • Smart factories and AI integration
  • AI for supply chain optimization
  • Data analytics in manufacturing processes
  • AI-driven quality control systems
  • Robotics and automation in Industry 4.0
  • AI for workforce training in manufacturing
  • Sustainable manufacturing practices using AI
  • AI in product lifecycle management
  • Impact of AI on manufacturing efficiency
  • AI for reducing production costs
  • Collaborative robots in manufacturing environments
  • AI in additive manufacturing technologies
  • Cybersecurity challenges in smart manufacturing
  • AI for enhancing customer experience
  • Digital twins and AI applications
  • AI in energy management for factories
  • Future trends in manufacturing with AI
  • AI for optimizing logistics in manufacturing
  • Ethical implications of AI in Industry 4.0

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Submit Your Paper Today Register Early & Reserve Your Slot