Registration summary
ConferenceICIEDMA
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICIEDMA conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Innovations in Data Mining for Industrial Applications +
This track focuses on the latest advancements in data mining techniques specifically tailored for industrial engineering. Contributions should highlight novel methodologies and their practical applications in manufacturing settings.
02 Predictive Analytics in Manufacturing Systems +
This session will explore the role of predictive analytics in enhancing manufacturing processes. Papers should discuss case studies and frameworks that demonstrate the impact of predictive models on operational efficiency.
03 Machine Learning Techniques for Process Optimization +
This track invites research on the application of machine learning algorithms to optimize industrial processes. Submissions should provide insights into the integration of these techniques within existing manufacturing workflows.
04 Operations Research in Industrial Engineering +
This session aims to present innovative applications of operations research methodologies in industrial settings. Contributions should address complex decision-making problems and propose effective solutions.
05 Workflow Analytics for Performance Improvement +
This track emphasizes the importance of workflow analytics in identifying bottlenecks and enhancing performance in industrial operations. Papers should present analytical frameworks that facilitate data-driven decision-making.
06 Data-Driven Strategies for Production Efficiency +
This session will focus on strategies that leverage data analytics to improve production efficiency. Contributions should highlight successful implementations and measurable outcomes in various industrial contexts.
07 Integration of IoT and Data Mining in Manufacturing +
This track explores the convergence of Internet of Things (IoT) technologies and data mining techniques in the manufacturing sector. Papers should discuss how this integration can lead to smarter manufacturing solutions.
08 Real-Time Data Analytics for Operational Excellence +
This session invites research on real-time data analytics applications that drive operational excellence in industrial environments. Contributions should illustrate the benefits of timely data insights for decision-making.
09 Quality Control and Data Mining Techniques +
This track focuses on the application of data mining techniques in quality control processes within manufacturing. Papers should present methodologies that enhance product quality and reduce defects.
10 Sustainable Manufacturing through Data Analytics +
This session will explore how data analytics can contribute to sustainable manufacturing practices. Contributions should highlight innovative approaches that balance productivity with environmental considerations.
11 Future Trends in Industrial Engineering and Data Mining +
This track aims to discuss emerging trends and future directions in the intersection of industrial engineering and data mining. Papers should provide visionary insights that can shape the future landscape of the field.
