Aligned with
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
SDG 7 — Affordable and Clean Energy
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 13 — Climate Action
SDG 16 — Peace, Justice and Strong Institutions
This track focuses on the integration of advanced data analytics in urban infrastructure development. Participants will explore case studies and methodologies that enhance the efficiency and sustainability of urban systems.
This session addresses the role of Internet of Things (IoT) and sensor networks in collecting and analyzing urban data. Discussions will highlight innovative applications that improve urban living and governance.
This track examines the application of predictive modeling and real-time analytics in traffic management systems. Researchers will present findings on optimizing traffic flow and reducing congestion in smart cities.
This session focuses on the use of data analytics to enhance energy efficiency in urban environments. Participants will discuss strategies for integrating renewable energy sources and optimizing energy consumption.
This track explores the application of data analytics in enhancing public safety and emergency response in smart cities. Presentations will cover predictive policing, crime analysis, and community safety initiatives.
This session delves into the use of data analytics to monitor and mitigate environmental impacts in urban areas. Researchers will share insights on air quality, waste management, and resource conservation.
This track focuses on how data analytics can improve citizen services and enhance public engagement in smart cities. Discussions will include the role of data in fostering transparency and accountability in governance.
This session highlights innovative data visualization methods that facilitate the interpretation of urban data. Participants will explore tools and techniques that enhance decision-making processes in urban planning.
This track examines the integration of machine learning techniques in analyzing urban data. Researchers will present applications that address challenges in urban planning, transportation, and public services.
This session focuses on the development of decision support systems that leverage urban data for effective governance. Participants will discuss frameworks that aid policymakers in making informed decisions.
This track explores the implementation of real-time analytics in enhancing urban mobility. Discussions will focus on innovative solutions for public transportation, ride-sharing, and traffic management.
SNRI maintains uninterrupted academic processes in the current global situation. Participants can engage and publish through online and blended conference formats.
PLEASE READ: CLOSING ENABLED IN 20S