International Conference on Data Mining for Smart Infrastructure Engineering
(ICDMSIE-26)

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

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Data Mining for Smart Infrastructure Engineering (ICDMSIE), scheduled to be held on 25th October 2026 in Coimbatore, 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 – Predictive Modeling Techniques in Smart Infrastructure
    This track focuses on advanced predictive modeling methodologies tailored for smart infrastructure applications. Researchers are invited to present innovative approaches that enhance the reliability and efficiency of predictive analytics in engineering. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 02 – Sensor Analytics for Urban Systems
    This session explores the integration of sensor data analytics in urban infrastructure management. Contributions should highlight novel techniques for extracting actionable insights from sensor data to optimize urban systems. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 03 – Optimization Strategies in Structural Health Monitoring
    This track addresses optimization techniques specifically designed for structural health monitoring applications. Papers should discuss algorithms and frameworks that improve the accuracy and responsiveness of monitoring systems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Workflow Analytics in Infrastructure Maintenance Planning
    This session emphasizes the role of workflow analytics in enhancing maintenance planning for infrastructure projects. Participants are encouraged to share case studies and methodologies that streamline maintenance processes through data-driven insights. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 05 – IoT Integration for Enhanced Infrastructure Management
    This track investigates the integration of Internet of Things (IoT) technologies in infrastructure management. Submissions should focus on innovative IoT applications that facilitate real-time monitoring and decision-making in engineering contexts. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Data Mining Techniques for Urban Infrastructure Optimization
    This session aims to showcase data mining techniques that contribute to the optimization of urban infrastructure systems. Researchers are invited to present their findings on how data-driven strategies can enhance urban planning and resource allocation. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 07 – Machine Learning Applications in Structural Engineering
    This track highlights the application of machine learning algorithms in various aspects of structural engineering. Papers should explore how these techniques can improve predictive accuracy and operational efficiency in infrastructure projects. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
  • Track 08 – Real-time Analytics for Smart Infrastructure Systems
    This session focuses on the development and implementation of real-time analytics solutions for smart infrastructure. Contributions should demonstrate how real-time data processing can enhance decision-making and operational performance. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Data-Driven Decision Making in Urban Systems
    This track examines the role of data-driven decision-making processes in the management of urban systems. Participants are encouraged to present frameworks and case studies that illustrate the impact of data analytics on urban governance. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 10 – Innovations in Predictive Maintenance for Infrastructure
    This session explores innovative approaches to predictive maintenance within the context of infrastructure engineering. Papers should focus on methodologies that utilize data mining and analytics to foresee maintenance needs and reduce downtime. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Challenges and Solutions in Smart Infrastructure Data Mining
    This track addresses the challenges faced in data mining for smart infrastructure applications and proposes potential solutions. Researchers are invited to discuss barriers to effective data utilization and share best practices for overcoming these challenges. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
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 11 SDG 11
    Sustainable Cities and Communities

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