ICUEBDM · Registering as Listener

International Conference on Urban Engineering and Big Data Mining

📅 26–27 Apr 2027 📍 Cairo, Egypt 👤 Standard / Listener

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$165

virtual · $165 in person

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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.