Hybrid Conferencee

International Conference on Fog Computing and Smart Infrastructure (ICFCSI - 26)

26th - 27th December 2026 | Newcastle, Australia

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Newcastle conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Newcastle, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Newcastle."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

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. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 7
SDG 7 Affordable and Clean Energy
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Advancements in Fog Computing Architectures

This track explores the latest architectural innovations in fog computing that enhance data processing capabilities at the edge. Emphasis will be placed on scalability, interoperability, and the integration of diverse IoT devices.

Track 02

Smart Infrastructure and IoT Integration

This session focuses on the convergence of smart infrastructure and IoT technologies, highlighting case studies and applications that demonstrate their synergy. Participants will discuss challenges and solutions in deploying IoT within smart environments.

Track 03

Edge Intelligence for Real-Time Analytics

This track delves into the role of edge intelligence in facilitating real-time data analytics for various applications. Researchers will present methodologies that leverage edge computing to improve decision-making processes.

Track 04

Low-Latency Systems in Distributed Computing

This session addresses the design and implementation of low-latency systems within distributed computing frameworks. Discussions will cover techniques that minimize latency while ensuring robust data processing.

Track 05

Energy Efficiency in Fog and Edge Computing

This track examines strategies for enhancing energy efficiency in fog and edge computing environments. Presentations will focus on sustainable practices and technologies that reduce energy consumption without compromising performance.

Track 06

Embedded Systems for Smart Infrastructure

This session highlights the role of embedded systems in the development of smart infrastructure solutions. Participants will explore design considerations, challenges, and innovations in embedded technologies.

Track 07

AI Integration in Fog Computing Frameworks

This track investigates the integration of artificial intelligence within fog computing frameworks to enhance data processing and decision-making capabilities. Case studies will illustrate the practical applications of AI in edge environments.

Track 08

Network Protocols for Fog and Edge Computing

This session focuses on the development and optimization of network protocols tailored for fog and edge computing environments. Discussions will include protocol efficiency, security, and performance metrics.

Track 09

Cloud-Fog Collaboration Models

This track explores collaborative models between cloud and fog computing that optimize resource utilization and data management. Participants will discuss frameworks that facilitate seamless integration and data flow between the two paradigms.

Track 10

Automation in Smart Infrastructure Systems

This session addresses the role of automation technologies in enhancing the functionality of smart infrastructure systems. Presentations will cover automated processes, tools, and their impact on operational efficiency.

Track 11

Computational Modeling for Engineering Solutions

This track focuses on computational modeling techniques that address complex engineering challenges in fog computing and smart infrastructure. Researchers will present innovative models that enhance predictive capabilities and system design.