Registration summary
ConferenceICDMPOE
ModeStandard / Physical
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
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
ICDMPOE conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advanced Data Mining Techniques in Engineering +
This track focuses on the latest advancements in data mining methodologies applicable to engineering processes. Participants will explore innovative algorithms and their effectiveness in enhancing engineering outcomes.
02 Predictive Modeling for Process Optimization +
This session addresses the role of predictive modeling in optimizing engineering processes. Attendees will discuss case studies demonstrating the impact of predictive analytics on operational efficiency.
03 Workflow Analysis and Improvement Strategies +
This track emphasizes the importance of workflow analysis in engineering environments. Presentations will highlight techniques for identifying bottlenecks and improving overall process efficiency.
04 Machine Learning Applications in Industrial Analytics +
This session delves into the application of machine learning techniques in industrial settings. Participants will examine how these technologies can drive performance improvements and decision-making.
05 Decision Support Systems for Engineering Performance +
This track explores the development and implementation of decision support systems tailored for engineering challenges. Discussions will focus on enhancing decision-making processes through data-driven insights.
06 Operational Efficiency through Data-Driven Insights +
This session investigates how data mining can lead to significant improvements in operational efficiency within engineering processes. Case studies will illustrate successful implementations and measurable outcomes.
07 Performance Metrics in Process Engineering +
This track examines the critical performance metrics used to evaluate engineering processes. Participants will discuss methodologies for measuring and improving these metrics through data mining.
08 Industrial Analytics: Trends and Future Directions +
This session provides an overview of current trends in industrial analytics and their implications for engineering processes. Experts will share insights on future directions and emerging technologies in this field.
09 Integrating Data Mining with Engineering Design +
This track focuses on the integration of data mining techniques into the engineering design process. Participants will explore how data-driven approaches can enhance design efficiency and innovation.
10 Real-time Data Mining for Process Control +
This session highlights the application of real-time data mining techniques in process control environments. Discussions will center on the benefits of immediate data analysis for operational decision-making.
11 Case Studies in Data Mining for Engineering Optimization +
This track presents a series of case studies showcasing successful applications of data mining in engineering optimization. Participants will gain insights into practical implementations and the resulting benefits.
