International Conference on Urban Engineering and Big Data Mining
(ICUEBDM-26)

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

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Urban Engineering and Big Data Mining (ICUEBDM), scheduled to be held on 25th October 2026 in Chandigarh, 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 – Innovations in Urban Engineering
    This track focuses on the latest advancements in urban engineering practices that leverage big data analytics. It aims to explore how innovative engineering solutions can enhance urban infrastructure and services. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 02 – Big Data Applications in Smart Cities
    This session will delve into the role of big data in the development and management of smart cities. Participants will discuss case studies and methodologies that demonstrate effective data utilization for urban improvement. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 03 – Traffic Modeling and Optimization
    This track addresses the challenges of traffic modeling using big data techniques. It will cover predictive modeling approaches that enhance traffic flow and reduce congestion in urban environments. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 04 – Environmental Monitoring through Sensor Networks
    This session focuses on the deployment of sensor networks for environmental monitoring in urban areas. It will examine how data collected from these networks can inform sustainable urban development. Aligned SDGs: SDG 11 – Sustainable Cities and Communities  |  SDG 13 – Climate Action
  • Track 05 – Predictive Modeling for Urban Systems
    This track emphasizes the importance of predictive modeling in understanding urban systems dynamics. Participants will explore various modeling techniques that aid in forecasting urban growth and resource allocation. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 06 – Infrastructure Planning and Big Data
    This session investigates the integration of big data analytics in infrastructure planning processes. It aims to highlight how data-driven decision-making can optimize urban infrastructure development. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 07 – Data-Driven Decision Support Systems
    This track explores the design and implementation of decision support systems that utilize big data for urban planning. Discussions will focus on tools and frameworks that enhance decision-making in urban engineering. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 08 – Urban Systems Optimization Techniques
    This session will cover various optimization techniques applied to urban systems using big data. Participants will share insights on improving efficiency and effectiveness in urban resource management. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 09 – Analytics for Urban Sustainability
    This track focuses on the application of analytics in promoting sustainability within urban environments. It will highlight strategies that leverage data to address environmental challenges in cities. Aligned SDGs: SDG 11 – Sustainable Cities and Communities  |  SDG 13 – Climate Action
  • Track 10 – Smart Transportation Systems
    This session will explore the integration of big data in developing smart transportation systems. Discussions will include innovative approaches to enhance mobility and accessibility in urban areas. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 11 – Collaboration between Engineering and Data Science
    This track emphasizes the interdisciplinary collaboration between engineering and data science in urban contexts. It will showcase successful partnerships and projects that bridge these fields for enhanced urban solutions. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
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
  • SDG 13 SDG 13
    Climate Action
  • SDG 17 SDG 17
    Partnerships for the Goals

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]

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