International Conference on Urban Engineering and Big Data Mining

ICUEBDM

20th May – 21st May 2027 Jeddah, Saudi Arabia

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Access to All Conference Sessions

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Registration Summary

Conference ICUEBDM

Date 20th May – 21st May 2027

Location Jeddah, Saudi Arabia

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

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.

SDG 9 SDG 11

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.

SDG 11

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.

SDG 11

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.

SDG 11 SDG 13

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.

SDG 11

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.

SDG 9 SDG 11

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.

SDG 11

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.

SDG 11

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.

SDG 11 SDG 13

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.

SDG 11

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.

SDG 9 SDG 17