Important Dates
Early Bird Registration :30th June 2026
Paper Submission Deadline :5th July 2026
Last Date of Registration : 15th July 2026
Date of Conference : 30th - 31st July 2026
Conference Session Tracks
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.
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
SDG 17 — Partnerships for the Goals
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.