International Conference on Embedded Engineering Systems and Data Mining
(ICEESDM-26)

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

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Embedded Engineering Systems and Data Mining (ICEESDM), scheduled to be held on 25th October 2026 in Jaipur, 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 Embedded Engineering Systems
    This track focuses on the latest innovations in embedded engineering systems, emphasizing their integration with modern technologies. Participants will explore case studies and theoretical frameworks that enhance system performance and reliability. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Data Mining Techniques for IoT Applications
    This session will delve into advanced data mining methodologies specifically tailored for Internet of Things applications. Discussions will center around the extraction of meaningful insights from large volumes of sensor data. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 03 – Predictive Maintenance in Industrial Settings
    This track addresses the role of data mining in predictive maintenance strategies within industrial environments. Researchers will present models that utilize historical data to forecast equipment failures and optimize maintenance schedules. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Sensor Data Analysis for Performance Monitoring
    This session emphasizes the importance of sensor data analysis in monitoring system performance. Participants will share innovative approaches to analyze real-time data for enhancing operational efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – System Optimization through Data-Driven Approaches
    This track explores data-driven methodologies for optimizing embedded systems. Presentations will highlight techniques that leverage data analytics to improve system design and functionality. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Firmware Development for Enhanced Data Processing
    This session focuses on the development of firmware that supports advanced data processing capabilities in embedded systems. Discussions will include best practices for integrating data mining algorithms into firmware. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – Anomaly Detection in Sensor Networks
    This track will cover techniques for detecting anomalies in sensor networks using data mining approaches. Researchers will present novel algorithms that enhance the reliability of sensor data interpretation. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 08 – Performance Monitoring Techniques in Embedded Systems
    This session addresses various techniques for monitoring the performance of embedded systems in real-time. Participants will discuss the challenges and solutions related to performance metrics and data analysis. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Industrial IoT and Big Data Analytics
    This track explores the intersection of Industrial IoT and big data analytics, focusing on how large datasets can be leveraged for operational improvements. Presentations will highlight case studies demonstrating successful implementations. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Machine Learning Applications in Data Mining
    This session will investigate the application of machine learning techniques in the field of data mining. Researchers will present their findings on how these techniques can enhance data analysis and decision-making processes. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Challenges in Data Integration for Embedded Systems
    This track discusses the challenges associated with data integration in embedded engineering systems. Participants will explore solutions that facilitate seamless data flow and interoperability among diverse systems. 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 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • 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