Important Dates
Early Bird Registration :19th July 2026
Paper Submission Deadline :24th July 2026
Last Date of Registration : 3rd August 2026
Date of Conference : 18th - 19th August 2026
Conference Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.
SDG 3 — Good Health and Well-being
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 16 — Peace, Justice and Strong Institutions
Track 01
Mathematical Foundations of Big Data Analytics
This track focuses on the theoretical underpinnings of big data analytics, emphasizing mathematical models and statistical methods. Participants will explore innovative approaches to data interpretation and analysis in the context of smart cities and IoT.
Track 02
Machine Learning Algorithms for Urban Data
This session will delve into the application of machine learning algorithms specifically tailored for urban data sets. Researchers will present novel methodologies that enhance predictive modeling and data-driven decision-making in smart city environments.
Track 03
Statistical Techniques for Sensor Data Analysis
This track will cover advanced statistical techniques for analyzing data generated by IoT sensors in urban settings. Emphasis will be placed on real-time data processing and the implications for urban infrastructure management.
Track 04
Cloud and Edge Computing in Smart Cities
This session will examine the role of cloud and edge computing in the management and analysis of big data within smart cities. Discussions will focus on optimizing data storage and processing capabilities to enhance urban systems.
Track 05
Data Integration Strategies for Urban Systems
This track will explore methodologies for integrating diverse data sources in urban environments. Participants will discuss challenges and solutions related to data interoperability and the creation of unified data platforms.
Track 06
Predictive Modeling for Urban Sustainability
This session will highlight the use of predictive modeling techniques to promote sustainability in urban development. Researchers will present case studies demonstrating the impact of data-driven insights on urban planning and resource management.
Track 07
Cybersecurity in Smart City Infrastructure
This track will address the critical issue of cybersecurity in the context of smart city infrastructure. Experts will discuss mathematical models and statistical approaches to enhance the security of interconnected urban systems.
Track 08
Optimization Techniques for Urban Infrastructure
This session will focus on optimization techniques applicable to urban infrastructure, including transportation and energy systems. Participants will explore mathematical methods that improve efficiency and reduce costs in smart city operations.
Track 09
Simulation Models for Smart City Dynamics
This track will investigate the development and application of simulation models to understand the dynamics of smart cities. Researchers will present findings on how these models can inform policy and operational decisions.
Track 10
Data Analytics for Urban Health and Wellbeing
This session will explore the intersection of data analytics and urban health, focusing on how big data can inform public health strategies in smart cities. Participants will discuss analytical frameworks that support health monitoring and intervention planning.
Track 11
Digital Transformation in Urban Environments
This track will examine the role of digital transformation in enhancing urban systems through big data solutions. Discussions will focus on the implications of technological advancements for urban governance and citizen engagement.