International Conference on Control Systems Engineering and Data Mining
(ICCSEDM-26)

25th October 2026 || Pondicherry - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Control Systems Engineering and Data Mining (ICCSEDM), scheduled to be held on 25th October 2026 in Pondicherry, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Data Mining.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Advancements in Control Systems Engineering
    This track focuses on the latest innovations and methodologies in control systems engineering. Contributions that explore novel control strategies and their applications in various industrial settings are particularly encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Data Mining Techniques for System Identification
    This session aims to discuss the application of data mining techniques in system identification processes. Researchers are invited to present their findings on how these techniques can enhance the accuracy and efficiency of identifying system dynamics. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 03 – Predictive Modeling in Engineering Applications
    This track delves into the development and application of predictive modeling techniques within engineering contexts. Papers that demonstrate the integration of predictive analytics in optimizing engineering processes are highly sought after. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Optimization Strategies in Process Control
    This session will explore various optimization strategies employed in process control systems. Contributions that highlight the interplay between optimization algorithms and control system performance are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – Sensor Data Analysis for Enhanced Monitoring
    This track focuses on the analysis of sensor data to improve monitoring capabilities in industrial systems. Researchers are invited to share innovative approaches that leverage data analytics for real-time decision-making. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Fault Detection and Diagnosis in Automation Systems
    This session aims to address methodologies for fault detection and diagnosis in automated systems. Papers that present novel algorithms or case studies demonstrating effective fault management are welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – Analytics in Adaptive Control Systems
    This track explores the role of analytics in enhancing adaptive control systems. Contributions that discuss the integration of data-driven insights into adaptive control strategies are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Industrial Systems Monitoring and Data Mining
    This session focuses on the application of data mining techniques for monitoring industrial systems. Researchers are invited to present their work on how data mining can improve operational efficiency and system reliability. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Machine Learning Approaches in Control Systems
    This track investigates the intersection of machine learning and control systems engineering. Papers that explore the application of machine learning algorithms to enhance control strategies and system performance are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Big Data Analytics in Engineering Processes
    This session will discuss the implications of big data analytics in various engineering processes. Contributions that highlight the challenges and solutions in managing and analyzing large datasets for engineering applications are welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Trends in Automation and Control Technologies
    This track aims to highlight emerging trends in automation and control technologies. Researchers are invited to share insights on the future directions and innovations that will shape the field. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 12 SDG 12
    Responsible Consumption and Production

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228